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Volume 17, Number 16,
Issue of August 15, 1997
pp. 6391-6400
Copyright ©1997 Society for Neuroscience
Discrimination in the Sense of Flutter: New Psychophysical
Measurements in Monkeys
Adrián Hernández,
Emilio Salinas,
Rafael García, and
Ranulfo Romo
Instituto de Fisiología Celular, Universidad Nacional
Autónoma de México, 04510 México DF, México
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
FOOTNOTES
REFERENCES
ABSTRACT
Humans and monkeys have similar capacities to discriminate the
frequencies of mechanical sinusoids delivered to their hands in the
range that corresponds to the sense of flutter (10-50 Hz). Previous
studies showed that monkeys can discriminate whether comparison stimuli
are higher or lower in frequency than a base stimulus that does not
vary from trial to trial during an experiment. We verified this result
in two monkeys trained in this manner. To confirm that these animals
were able to discriminate, we tested them in a variant of the task in
which the frequency of the base stimulus changed randomly from trial to
trial. The monkeys failed to discriminate in this new testing mode;
instead they seemed to categorize the comparison stimuli, ignoring the
base stimulus. After further training in the randomized base condition,
the two monkeys learned to discriminate accurately. We then explored
how the stimulation parameters affected performance. We found that animals could discriminate accurately with stimulus durations as short
as 250 msec, with interstimulus intervals as long as 10 sec, with 50%
differences between base and comparison stimulus amplitudes or when
stimulated on a different finger. Performance did not degrade in these
conditions, even though the monkeys had never been trained or tested
under them. The results show that monkeys may try to categorize rather
than discriminate when the task allows either strategy, although they
are capable of performing true discriminations very robustly. These
findings have important implications for investigating the neuronal
processes underlying sensory discrimination.
Key words:
flutter;
psychophysics;
discrimination;
categorization;
monkeys;
vibrotactile stimuli
INTRODUCTION
An important problem in sensory physiology is the
isolation of the neural codes that explain the capacity of a subject to make detections and discriminations of sensory stimuli. In this respect, LaMotte and Mountcastle (1975) and Mountcastle et al. (1990)
have made a number of important observations in a sensory modality
called the sense of flutter. They determined that both humans and
monkeys have similar capacities for detecting and discriminating the
frequencies of mechanical sinusoids delivered to their hands. The aim
of those studies was to discover how the neural code of primary
somatosensory cortex (S1) is related to somesthetic performance in the
sense of flutter. In the task they designed, animals had to indicate
whether the frequency of a comparison stimulus was lower or higher than
a base stimulus that did not vary in frequency from trial to trial
during a run. The results revealed a set of neurons with quickly
adapting properties, the activity of which was entrained by the
stimuli, firing in phase with the oscillatory signal. These neurons
responded identically to the two stimuli, they did so even during
passive stimulation, and their activities seemed unrelated to any kind
of comparison process that presumably takes place during
discrimination. Mountcastle and colleagues (1990) concluded that the
neuronal signals that determine psychophysical performance should be
sought in more central structures linked to S1 cortex. Also in the
flutter submodality but using a slightly different paradigm, Recanzone
et al. (1992b) found similar entrained neuronal activity in S1. They
revealed differences in the timing of these responses that were
functions of stimulus frequency and showed that these differences
correlated closely with the behavioral performance of the animals. This
group also reported a number of changes in the properties of S1 neurons
occurring as a result of experience with the task.
The sense of flutter offers a number of advantages as a model for how
sensory processing takes place in the cortex. For this reason we
decided to investigate further some of the questions that were left
open by the groundbreaking work of Mountcastle. When we reexamined the
psychophysics of the task, we found the paradigm to be ambiguous; when
the base stimulus is kept constant, the task can be solved either by
comparing the two stimuli or by categorizing the second stimulus as
"high" or "low," ignoring the base stimulus. We found that
monkeys trained with fixed base stimuli use the second strategy and
cannot make discriminations when the first stimulus is changed from
trial to trial. In the present paper we present the results of a
comprehensive set of psychophysical experiments designed to test the
conditions under which monkeys can perform true discriminations in this
modality. We also discuss the importance of the distinction between
true discrimination tasks and other paradigms.
MATERIALS AND METHODS
Classical somesthetic task. Two male monkeys
(Macaca mulatta; 6-8 kg) were trained to discriminate the
frequencies of mechanical sinusoids delivered to the skin of one of the
fingers of the left, restrained hand (Mountcastle et al., 1990 ). They
indicated the difference in frequency between the two stimuli by
pressing one of two target switches with the unrestrained hand and were
rewarded for correct discrimination. Eight human subjects were also
tested to construct stimulus control sets, as reported previously
(Mountcastle et al., 1990 ). They served to adjust the amplitudes of the
comparison stimuli at different frequencies so that they matched in
subjective intensity that of the base stimuli. All procedures
concerning the animals and human subjects were performed according to
institutional protocols that meet or exceeded the National Institutes
of Health and Society for Neuroscience guidelines.
During the task, the left arm of the animal was secured in a half cast
and maintained in a palm-up position. The right hand operated an
immovable key (elbow joint at 90°). The target switches were located
at 70 and 90 mm to the right of the midsaggital plane; they were placed
at reaching distance, 250 mm from the animal's shoulder and at eye
level. The stimulator tip (2 mm) delivered mechanical sinusoids in the
range of flutter (2-50 Hz) on the skin surface of the distal segment
of the third digit. Stimuli were delivered by a computer-controlled
Chubbuck linear motor stimulator (Chubbuck, 1966 ).
Monkeys were initially trained by following the procedure described
previously (Mountcastle et al., 1990 ). Briefly, they received their
normal food rations but were deprived of liquid, except for the juice
or water drops obtained during the training and testing sessions. The
animals worked 7 d/week, 6 hr/d on average; they typically performed
~1200 trials per day, with a total intake of 300-500 ml of liquid.
The initial training phase consisted of four main parts. First, the
monkey learned to place his right hand on the key after the probe was
lowered and indented the skin surface of the distal segment of the
third digit. Second, after the skin indentation, a single stimulus
lasting 2 sec was delivered, after which the monkey had to release the
key. Third, the single stimulus was broken in two, by inserting an
interstimulus interval during which the probe did not move. This
interval was very short at first and increased progressively. At this
stage the monkey had to release the key after the end of the second
stimulus. Finally, the second stimulus changed to a frequency either
much lower or much higher than the first, and the arm of the monkey was
physically guided toward the corresponding target switch. In this step
the button that the animal had to push was illuminated. Once the monkey performed consistently, the guiding lights were switched off, and other
comparison frequencies were included. It took the monkeys ~40 d to go
through the complete process. The frequency of the first stimulus was
kept constant throughout this training period, but later on three
values were used: 20, 30, and 40 Hz. During the testing phase one of
these three frequencies was randomly chosen typically for every block
of 100 trials.
The trained monkey began a trial by placing his right hand on the
immovable key in a period not exceeding 1 sec, after a step indentation
(500 µm) of the skin of the left hand. He maintained this position
throughout a variable delay period of 1.5-4.5 sec, until the probe
started oscillating. Two stimuli, termed base and
comparison, of 1 sec duration were delivered in sequence, with an interstimulus interval of 1 sec. He indicated detection of the
end of the second stimulus by removing his hand from the key within 600 msec, and indicated whether the frequency of the second stimulus was
lower or higher than the frequency of the first by projecting his right
hand to the corresponding switch within 600 msec. The medial switch was
used to indicate that the comparison frequency was lower than the base,
and the lateral switch was used to indicate that the comparison
frequency was higher than the base. The animal was rewarded for correct
discrimination with a drop of water or juice. The tactile stimuli were
neither visible nor audible to the animal.
Training for true discrimination. For the animals to carry
out the task when the base frequency changed from trial to trial, they
had to be retrained. The working regimen and the sequence of events in
a trial were the same as described above, but the specific training
technique was adjusted to the new conditions of the task. A simple
stimulus set was used at first. It consisted of two base frequencies,
20 and 34 Hz, each having two possible comparison frequencies, 12 and
28 Hz for a base of 20 Hz and 26 and 42 Hz for a base of 34 Hz. In this
situation, the monkey could get a reward on 50% of the trials (those
with comparison frequencies of 42 and 12 Hz) by simply categorizing the
comparison frequency. Thus it was very important to double or triple
the reward when he discriminated correctly on those trials involving 26 and 28 Hz. These two frequencies were chosen because the animal could not distinguish between them, and categorizing both as low or high did
not produce a consistent outcome. After the monkeys reached nearly
perfect performance with this stimulus set, other base and comparison
frequencies were added progressively. It was difficult for the animals
to learn the new task; they were trained for about 2 months before data
were collected in this condition. The data collection period lasted
~2 months more. During this phase, some of the parameters in the
task, e.g., stimulus duration and interstimulus interval, were varied
to investigate their effect on discrimination (see Results).
Analysis of behavioral performance. Psychometric curves were
obtained for the two monkeys and eight human subjects using fixed base
frequencies. The data from humans were used to construct the stimulus
control sets for frequency discrimination; these data are not shown,
because they are almost identical to those reported by Mountcastle et
al. (1990) . The results in this case were plotted as the percentage of
trials in which the comparison stimulus was identified as higher in
frequency than the base stimulus, as a function of the frequency of the
comparison stimulus. We used logistic Boltzmann equations to fit these
data:
|
(1)
|
where p is the percent of trials called high,
x is the comparison frequency, A1 and
A2 are the minimum and maximum values of
p, respectively, x0 is the stimulus
frequency for which p = (A1 + A2)/2, and dx determines the
width of the function. All regressions fitted the data significantly,
with a 2 of p < 0.01. Psychometric
thresholds [i.e., difference limens (DLs)] were computed by
subtracting the inverse of the stimulus frequency identified as higher
than the standard on 75% of the trials, from the inverse of the
frequency identified as higher on 25% of the trials, and dividing the
result by 2. These values were obtained directly from the fitted
functions, expressed in terms of cycle lengths in milliseconds. Weber
fractions were also directly calculated from these curves. All tests,
except stimulation on different fingers, were performed on both
monkeys. Results shown are from monkey 1, but in all cases monkey 2 performed similarly.
RESULTS
Discrimination versus categorization
As mentioned above, humans and monkeys were found to have similar
capacities for discriminating the frequencies of mechanical sinusoidal
vibrations delivered to their hands, in the range of 10-50 Hz (LaMotte
and Mountcastle, 1975 ; Mountcastle et al., 1990 ). We verified these
results in two monkeys by following the original testing situation
(LaMotte and Mountcastle, 1975 ; Mountcastle et al., 1990 ); in all
trials during a run, the base stimulus of the fixed frequency (20, 30, or 40 Hz) was followed by a comparison stimulus of a higher or lower
frequency, after an interstimulus interval of 1 sec. The comparison
frequencies used varied in steps of 2 Hz from the base and were chosen
pseudorandomly in each trial. Animals learned to indicate whether the
comparison frequencies were lower or higher than the base after ~1.5
months of training. They did so with DLs and Weber fractions similar to
those reported before (Mountcastle et al., 1990 ). The results shown in
Figure 1A represent the performance of
monkey 1 averaged over 10 consecutive days during which the data were
collected. On most days the base frequency was changed for
approximately every block of 100 trials.
Fig. 1.
Capacity of monkey 1 to discriminate the
differences in frequency between two tactile stimuli. A,
Psychophysical performance when the base stimulus frequency is held
constant at 20, 30, or 40 Hz during a run (100 trials). Data points
show the percent of trials in which the frequency of the comparison
stimulus was judged as higher than that of the base stimulus, as a
function of the frequency of comparison. The curves are
logistic functions fitted to the data points. Data were collected
during 10 consecutive days and are based on 100 trials per point. Error
bars indicate ±1 SD of the 10 daily means and thus indicate the
day-to-day variability in performance. B, Failure to
discriminate the frequency difference between the two stimuli when the
base frequency changes from trial to trial. In each case the comparison
frequency was 5 Hz higher or lower than the base frequency. The base
frequencies correspond to the midpoints of the line segments.
Filled and open symbols correspond to
comparison frequencies below and above the base, respectively.
C, Capacity of the same monkey to categorize
frequencies. Without further training, single stimuli were delivered,
and the monkey had to indicate whether they were higher or lower than 30 Hz; the same set of frequencies as in the middle
curve of A were used, but without the base
stimulus. Monkeys had to discover the limits of the low and high
categories through trial and error. The data are shown as the
percentage judged high; the first 50 trials in this test were excluded.
The animal made accurate categorizations. Each data point in
B and C represents 30 trials. In all
cases, stimuli were delivered at seven times the detection threshold at
30 Hz, adjusted for equal subjective magnitude. Stimulus duration was 1 sec, with 1 sec of interstimulus interval.
[View Larger Version of this Image (28K GIF file)]
We assumed that if these two monkeys were discriminating the
differences in frequency between the two stimuli, they would also be
able to discriminate them when the frequency of the base stimulus
changed from trial to trial. However, the monkeys were unable to do so.
According to the results of Figure 1A, the monkeys could reliably distinguish frequency differences of 5 Hz between base
and comparison stimuli. When the base frequency was randomly varied
between 20 and 40 Hz, all comparison frequencies <30 Hz were called
lower than the base, whereas those comparison frequencies >30 Hz were
called higher than the base, even though the differences between the
two stimuli were 5 Hz. This is shown in Figure 1B, where filled and open symbols indicate trials in
which the comparison frequency was lower and higher than the base,
respectively; the base frequency corresponds to the middle of the line
segments. Identical results were obtained when the frequency
differences between base and comparison were increased to 8 and 10 Hz.
It thus seemed that the monkeys were only paying attention to the second stimulus, categorizing it as low or high with respect to 30 Hz,
which was the base frequency used during training.
To test this possibility, in separate runs the base stimulus was
removed, and single stimuli were delivered in each trial. In this new
condition the monkeys were rewarded for correctly categorizing the
stimulus as lower or higher in frequency than 30 Hz. The monkeys had to
press the medial button every time the frequency of the single stimulus
was <30 Hz and the lateral button when it was >30 Hz. They had no
explicit indication that 30 Hz marked the division between the two
categories and had to discover this through trial and error. The
frequencies in this case were the same as those used for the
middle curve in Figure 1A. In the first 10 or so trials in this condition the monkeys reacted too late, as if they
had been waiting for the second stimulus. In the next 30 or so they
reacted in time, and performance increased steadily. Although they had
not been explicitly trained for it, the monkeys figured out how to do
the task in <50 trials, after which they made precise categorizations.
Figure 1C shows the results. The psychometric curve is very
similar to those in Figure 1A, for discrimination
using a base stimulus of fixed frequency. Similar results were obtained
when the single stimuli had to be categorized as lower or higher than
20 or 40 Hz; the psychometric curves in those cases were like the one
shown in Figure 1C, except shifted to the left (for 20 Hz)
or to the right (for 40 Hz). These results suggest that monkeys
performing the classical discrimination task do not compare the two
stimuli at every trial. They instead classify the second stimulus as
low or high, possibly setting the limits of each category during the
first few trials in a run. Humans tested in this situation were able to
discriminate in both cases (data not shown) with no further training
required.
True discrimination
The same animals used in the previous tests were retrained
to make discriminations when the base stimulus varied from trial to
trial. During the final phase of training, the differences between base
and comparison frequencies were kept constant at 10 Hz. A set of
frequency pairs was selected such that either frequency in the pair
could occupy the base or comparison position; at each trial one of the
pairs from the set was chosen pseudorandomly, and the elements of the
pair were designated, also pseudorandomly, as the base and comparison
frequencies. Animals required about 2 months of continuous training to
discriminate correctly in this situation. Figure 2 shows
the discriminative capacity of monkey 1 when tested with sets of pairs
with differences of 8, 6, 4, and 2 Hz between the base and comparison
stimuli. In each run these differences were kept constant. In Figure 2
each test pair is joined by a line, and each of the joined
data points acts as either the base or the comparison frequency.
Filled symbols indicate trials in which the base was higher,
and open symbols indicate trials in which it was lower than
the comparison. Performance is >75% correct for differences of 8 and
6 Hz; it degrades somewhat at 4 Hz and is barely above chance for 2 Hz.
This dependence on the frequency difference is to be expected if the
two stimuli are indeed being compared during the task. It thus seemed
that in this case the monkeys were truly discriminating. We reasoned that if this was true, then they should be able to discriminate under
more demanding conditions, namely when the difference between base and
comparison frequencies also varied from trial to trial. Figure
3 shows the results when monkey 1 was presented with
mixed sets of stimuli in which both the base frequency and the
frequency differences were varied pseudorandomly in each trial. These
sets were designed so that the results could be sorted with respect to
a reference frequency, 20 or 30 Hz in the examples shown. For each
panel in Figure 3, the results have been ordered and separated in two:
for the graphs on the left, filled symbols
correspond to trials in which the base stimulus was 20 Hz, and
open symbols correspond to trials in which the comparison
stimulus was 20 Hz; the graphs on the right were generated
in the same way but using a different set of frequencies that had 30 Hz
as the reference point. The performance reached in these cases is very
similar to that exhibited in the first test (Fig.
1A). From these results, it seems almost certain that
the animals learned to discriminate on a trial by trial basis. We
conclude that this capability develops when the monkeys are forced to
discriminate during training, which is accomplished by systematically
varying the first and second stimuli. When the first stimulus is held
constant, the animals seem to use a categorization strategy that only
requires analysis of the second stimulus.
Fig. 2.
Frequency discrimination between two tactile
stimuli when the base stimulus frequency changes from trial to trial.
Sets of frequency pairs were used in which the difference between base and comparison frequencies was kept constant at 8, 6, 4, and 2 Hz. The
monkey had been retrained with similar stimulus sets but with 10 Hz
differences. Base-comparison frequency pairs are joined by
lines. Each data point in a pair acts as both base and
comparison frequency. Filled symbols indicate trials in
which the base frequency was higher than the comparison; open
symbols indicate trials in which the comparison frequency was
higher than the base. Results are indicated as the percentage of trials
in which the comparison frequency was judged as higher than the base
frequency. The plots show that the difficulty of the task increased
with smaller frequency differences. Data points are based on 100 trials. Other stimulation parameters are as in Figure 1.
[View Larger Version of this Image (25K GIF file)]
Fig. 3.
Discrimination capacity of monkey 1 when the base
frequency and the frequency difference between the two stimuli are
varied simultaneously on every trial. Stimulus sets were constructed in
which a reference frequency was paired with eight other frequencies so
that it could occupy either the base or the comparison position. These
stimulus sets were not used to train the monkeys, only to test them.
The base-comparison frequency pairs were chosen pseudorandomly at each
trial. For the left panel, filled symbols
correspond to trials in which 20 Hz was the base frequency; open
symbols correspond to trials in which 20 Hz was the comparison
frequency. For the right panel the data were sorted
similarly but with respect to a reference frequency of 30 Hz. Data
points are based on 100 trials, performed during 10 consecutive days.
Error bars represent ±1 SD of the 10 daily means. Performance in all
cases is comparable to that shown in Figure 1A.
Other stimulation parameters are as in Figure 1.
[View Larger Version of this Image (21K GIF file)]
Effect of stimulus duration
A question that had not been addressed in studies with monkeys is
the minimal stimulus duration required for discrimination. We measured
this quantity in the two monkeys by reducing the duration of the two
stimuli. For this test, frequency differences of 8 Hz were used to make
sure that the animals were fully capable of discriminating. We found
that animals could discriminate accurately when stimulation lasted
250 msec. This implies that just a few cycles are required to carry
out the discrimination. Only two cycles suffice at 10 Hz, although the
minimum number of cycles increases with frequency. Stimulating for
<200 msec produced a noticeable drop in performance. The results shown
in Figure 4 were obtained when the shorter stimuli were
presented to the monkeys for the first time.
Fig. 4.
Discrimination capacity as a function of stimulus
duration. Filled symbols correspond to 1000 msec, and
open symbols correspond to 250 msec duration.
Performance is similar in the two conditions. Stimulus sets consisted
of frequency pairs separated by 8 Hz in which both frequencies could
occupy the base and the comparison positions. These pairs were
presented in pseudorandom order. Pairs are joined by
lines. Data points are based on 100 trials.
[View Larger Version of this Image (26K GIF file)]
Effect of interstimulus interval
Because of the design of the task, when animals are truly
discriminating they have to pay attention to the first stimulus and
store some trace of it during the interstimulus period, to compare it
with the second stimulus. This presumably involves a short-term or
working memory process. We measured the time scale of this underlying
process by evaluating the discriminative capacity of the two monkeys as
a function of the interstimulus interval. Frequency differences in this
case were large (8 Hz), so that the difficulty of the task lied only in
the length of the interstimulus interval. As shown in Figure
5, animals discriminated accurately with interstimulus
periods of 1 and 5 sec; their performance diminished slightly with 10 sec, and it deteriorated noticeably with 15 sec. The data in this
figure are displayed in the same format as Figure 2; stimuli were
selected in pairs with fixed frequency differences of 8 Hz.
Interstimulus intervals were kept constant during each block of trials.
An important issue in this experiment is that animals had not been
tested or trained previously with interstimulus intervals of >1 sec.
It thus seems that the mechanism that normally (i.e., for 1 sec
interstimulus intervals) stores information about the first stimulus
lasts on the order of 10-15 sec. However, it is likely that with
adequate training these animals could be able to make accurate
discriminations with longer interstimulus intervals; we did not explore
this possibility. In a simple variant of this experiment, the
interstimulus interval varied randomly from trial to trial between 1 and 4.5 sec. For all tests corresponding to Figures 2, 3, 4, 5 and 8, the
results were indistinguishable from those obtained with a fixed 1 sec
interstimulus interval.
Fig. 5.
Frequency discrimination as a function of
interstimulus interval. The same stimulus set, frequency pairs
separated by 8 Hz with both frequencies occupying the base and the
comparison positions, was used in the four plots. Base and comparison
frequency pairs are joined by lines. Results are shown
for interstimulus intervals (IS) of 1, 5, 10, and 15 sec. The animal's performance deteriorated for interstimulus intervals
of >10 sec. Data points are based on 20 trials.
[View Larger Version of this Image (27K GIF file)]
Fig. 8.
Frequency discrimination as a function of the
locus of stimulation. Sets of frequencies like those in Figure
3A were used. Stimuli were delivered to the same digit
used throughout the experiments (digit 3) and to two others. The plot
on the left shows the discrimination accuracy as a
function of frequency for stimulation of fingers 2 (continuous
lines) and 3 (dashed lines). The plot on the
right shows the results for stimulation of fingers 3 (dashed lines) and 4 (continuous lines).
Open symbols indicate trials in which 20 Hz was the
comparison frequency; filled symbols indicate trials in
which 20 Hz was the base frequency. The dashed curves in
the two panels are the same; for clarity, their corresponding data points are not shown. Each point comprises 10 trials; all data were
collected during a single day. Performance was the same irrespective of
the finger stimulated.
[View Larger Version of this Image (19K GIF file)]
Effect of stimulus amplitude
Normally, when two stimuli are presented at different frequencies,
subjects also perceive a difference in intensity, even though the
physical amplitude of the vibrations is the same (LaMotte and
Mountcastle, 1975 ). Thus in principle it is possible to discriminate two stimuli of different frequencies based on the difference in their
corresponding subjective intensities. To eliminate this possibility,
all previous tests were performed having adjusted the amplitudes of the
stimuli such that they were subjectively judged to be of equal
intensity, as had been performed previously (Mountcastle et al., 1990 ).
The standard amplitude used was seven times the detection threshold at
30 Hz, and corrections were made to this value for each frequency.
These corrections were small, for example, ~12% for a frequency of
20 Hz. To confirm that animals were paying attention to the frequencies
and not to the amplitudes of the stimuli, we introduced large
differences in the relative amplitudes of the base and comparison
stimuli. These were larger than the differences used in a similar
experiment using the original fixed base frequency paradigm (LaMotte
and Mountcastle, 1975 ). After a few trials of adjustment in this new
situation, animals were able to make accurate discriminations. In
Figure 6 a single pair of frequencies, 20 and 26 Hz, was
used. Either frequency could appear in the base or comparison position.
One of the stimuli was always delivered at the standard amplitude, and
the other was delivered at 0.5, 1.0, or 1.5 times the standard
amplitude. The monkey performed >75% correct irrespective of the
amplitude combination. In Figure 7 pairs of frequencies
with differences of 6 Hz were delivered, with both frequencies used as
base and comparison (as in Fig. 2). In this test, either the comparison stimulus had an amplitude equal to 1.5 times that of the base (Fig. 2,
left panel), or vice versa (Fig. 2, right
panel). The results demonstrate that the discrimination
process is largely insensitive to the stimulus amplitudes. This may be
attributable to the fact that the animals had had a long training
period before variations in amplitude were introduced; a different
outcome may result in animals with little training.
Fig. 6.
Discrimination between frequencies when the first
and second stimuli differ in amplitude by 50%. Base and comparison
frequencies (20 or 26 Hz) are indicated below each graph, in that
order. The numbers in parentheses
indicate the stimulus amplitudes relative to the standard amplitude
used in previous tests (equal to 7 times the detection threshold at 30 Hz). Results are plotted as the percentage of trials in which the
animal discriminated correctly. The 10 conditions were delivered
randomly and were measured in a single run. All data points are from 20 trials per class.
[View Larger Version of this Image (21K GIF file)]
Fig. 7.
Results of a second test in which the first and
second stimuli differ in amplitude by 50%. Pairs of stimuli with
constant frequency differences of 6 Hz are presented. As in Figure 2,
both frequencies in a pair occupy the base and comparison positions and
are joined by lines. In the left panel
comparison stimuli were 1.5 times stronger in amplitude than the base
stimuli. In the right panel base stimuli were 1.5 times
stronger than the comparison stimuli. Data for the two plots were
measured in a single run and represent 20 trials per class. Performance
was largely insensitive to the amplitude differences.
[View Larger Version of this Image (21K GIF file)]
Effect of stimulus location
During all training sessions and throughout the previous
experiments, animals were stimulated on the tip of the third finger of
the left hand. We finally investigated whether the particular stimulation point used had a quantitative impact on the performance of
the discrimination task. When monkey 1 was stimulated on the fourth and
second digits, we found that he required only a few trials, on the
order of 10, to adjust to the new situation. Afterward he reached
performance levels identical to those seen before. The results are
shown in Figure 8, where the set of frequencies used was
the same as in Figure 3A. The dashed curves in
Figure 8 correspond to stimulation on the third digit, the standard
situation; they are identical in the two panels. The DLs obtained from
these curves, for 20 Hz as the base and 20 Hz as the comparison
frequency, were 3.20 and 4.57 msec, respectively. When tested on
different digits the results were very similar; for the second (Fig. 8, left panel) the corresponding DLs were 2.26 (filled symbols) and 4.31 msec (open
symbols), and for the fourth digit (Fig. 8, right panel) they were 3.56 (filled symbols)
and 4.42 msec (open symbols). Apart from slight shifts with
respect to the reference frequency, the curves are essentially
indistinguishable. The data for all the curves in the figure were
collected in a single day. The monkey had only once been stimulated on
the second digit, 2 months before the experiment, and had never been
stimulated on the fourth digit. This result indicates that the
discrimination process is fully generalized to fingers other than the
one used during training.
DISCUSSION
The major observation in the present work is that monkeys
discriminate the frequencies of two vibratory stimuli delivered to
their hands only when the first stimulus changes from trial to trial
during training. When the base stimulus is kept constant throughout
whole runs, animals learn to perform the task by categorizing the
frequency of the second stimulus, presumably paying no attention to the
first one. In retrospect, this strategy is consistent with the
theoretical fact that a constant signal transmits no information and
can thus be ignored. Analysis of the environment probably focuses on
inputs that do vary and thereby carry high amounts of information. As
discussed below, this finding has important methodological consequences
for investigating the brain mechanisms implicated in sensory
discrimination, in particular in the somatosensory system. We also
determined the effect that the stimulus parameters have on the
performance of the task: (1) a small number of cycles of the base and
the comparison stimuli suffice for discrimination; (2) information
about the first stimulus is stored for about 10 sec; (3) frequency
discrimination is largely unaffected by differences in the magnitude of
the stimuli; and (4) discrimination tested by stimulating a given
finger is readily generalized to other fingers. These four findings
show that when the monkeys are trained adequately, their ability to
discriminate is extremely robust.
The sense of flutter has been used to search for the neural mechanisms
responsible for sensory discrimination (Talbot et al., 1968 ;
Mountcastle et al., 1969 , 1972 , 1990 ; LaMotte and Mountcastle, 1975 ;
Recanzone et al., 1992b ). Mountcastle and colleagues (Mountcastle et
al., 1990 ) studied the activity of neurons in the S1 cortex (areas 3b
and 1) that were active in phase with the oscillatory stimuli, firing
with higher probability at times that differed by integer multiples of
the stimulus period. This neural representation of the stimulus seemed
independent of the mechanisms that presumably underlie the
discrimination process (Mountcastle et al., 1990 , their Fig. 13), in
that signs of holding the base stimulus during the interstimulus period
or of a comparison between the two stimuli were not observed. It thus
seemed that the neural machinery performing the discrimination should
be sought beyond S1 cortex. A variety of observations explained in the
paper by Mountcastle et al. (1990) are consistent with this conclusion,
which is probably correct. Nevertheless, in view of the present
results, the possibility still exists that S1 plays an active role in
discrimination other than encoding the physical properties of the
stimuli. Recanzone et al. (1992b) did find a strong correlation between
the timing of the S1 responses and the behavior of the animals in their
task. As argued below, the interpretations of these two sets of
findings depend on the assumptions made regarding how exactly the
animals perform the tasks. The present psychophysical measurements are most important for the interpretation of future experiments in structures that are downstream from S1. It is very likely that in such
structures neurons exhibiting activity related to the first stimulus
during the interstimulus period would fire only when the animal
discriminates the two stimuli and not when an alternate strategy such
as categorization is operating.
Using the frequency discrimination task with a fixed base, recordings
from the primary motor cortex (M1) contralateral to the responding arm
revealed selective neural discharges which reflected the discrimination
process (Mountcastle et al., 1992 ). This differential activity actually
was observed only during the comparison stimuli, which would be
expected if animals based their decisions exclusively on the second
stimulus. Similar responses have been recorded from monkeys trained to
categorize the speed of tactile motion on the basis of a single
stimulus; some neurons from M1 cortex (E. Salinas and R. Romo,
unpublished results), the supplementary motor area (Romo et al., 1993 ,
1997 ), and the putamen (Romo et al., 1995 ; Merchant et al., 1997 )
reflect the sensory decision process in their activity.
Werner (1980) has clearly stated the distinctions between the
different questions that can be asked about the magnitude of a
sensation. In particular, he noted that the question, "Is anything there?" leads to the detection problem; the question, "How much of
it is there?" leads to the scaling problem; and the question, "Is
this different from that?" defines the discrimination problem. We
interpret our results as showing that monkeys may try to avoid true
discrimination, which requires the internal comparison of stimuli
presented in sequence and, whenever possible, adopt alternate strategies. This will depend on the complexity of the task and on the
training history of the animals. However, in many studies it is
extremely important to know what an animal is actually doing, and thus
it is crucial to determine whether the task is ambiguous, i.e., whether
it can be related to more than one of the above-mentioned problems:
discrimination, scaling, and detection. With time, an animal may even
switch to a recognition strategy. We observed that when a monkey was
repeatedly tested with a particular stimulus set (changing the base
frequency) for several days, he eventually memorized the whole set or
developed a combination of categorization strategies that allowed him
to stop discriminating. When this happened, the monkey typically
performed almost perfectly on the repeated set but failed dramatically
in the task when a slightly different set of frequencies was used. Thus
to make sure the monkey used discrimination and not recognition, it was
necessary to vary the stimulus sets continuously.
In vision, discrimination tasks often use very rich stimulus ensembles
(for example, see Naya et al., 1996 ; Miller et al., 1996 ), and an
ambiguity is hardly possible. But for studies of the somatosensory
system that typically involve very simple stimulus sets, our findings
have important implications. Tremblay et al. (1996) used two surfaces
of different roughness, presented consecutively, to study texture
discrimination. They proposed that the recorded activity from S1
neurons may underlie the perception of texture. However, in their
paradigm the first stimulus is always the same, smooth, and the second
stimulus is either smooth or rough. This task is essentially a
detection problem or, at best, a scaling problem. It is thus possible
that the monkeys were not analyzing the surfaces in detail, beyond what
was strictly necessary to detect the rough one. In another study,
Tremblay et al. (1993) investigated the responses of thalamic neurons
to air puffs, using a paradigm in which a stimulus of fixed intensity
was presented a variable number of times followed by a stimulus of
higher intensity. The monkey either had to react after the
high-intensity stimulus or to ignore the air puffs and react to a
change in a visual stimulus. A comparison between the two conditions
was taken as a measure of the effect of attention on the neuronal
responses. They found no difference across conditions. However, the
task was probably easier than intended; it is not a discrimination
problem but a simpler scaling problem. As noted by Tremblay et al.
(1993) , attentional modulation is substantially more evident in complex
discrimination tasks than in simple detection tasks (Posner et al.,
1978 ; Whang et al., 1991 ). Thus, it seems that a more demanding
paradigm, i.e., a true discrimination task, is required to resolve
whether attention affects or not the thalamic responses. In the flutter submodality, Recanzone et al. (1992a) used a similar paradigm in which
a base stimulus of constant frequency was repeated a variable number of
times and was followed by a second stimulus of higher frequency. They
found that animals improved their performance progressively, with a
rapid initial improvement attributed to a cognitive process and a
slower improvement afterward attributed to changes in the neural
representations of the stimuli. They also found that performance was
always better when the stimuli were applied to the trained finger,
although performance tested by stimulating a different digit also
improved throughout the experiment. In contrast, we found that when
tested on a digit different from the trained one, monkeys required only
a very small number of trials to reach their usual level of
performance. One likely explanation for this discrepancy is that the
paradigm used by Recanzone et al. (1992a) is a scaling problem; the
frequency of the first stimulus was fixed at 20 Hz. Discrimination
presumably involves complex cortical processes, such as short-term
memory and a comparison mechanism, that may be relatively independent of the somatotopic location of the input signals. On the other hand,
performance in a scaling task might depend more strongly on the quality
of the neuronal signal representations. This is consistent with the
suggestion of Recanzone et al. (1992a) that the initial improvement in
performance was attributable to higher-level cognitive activity. The
same group found that the responses of S1 neurons explained the
discriminative capacities of monkeys in their task (Recanzone et al.,
1992b ). Processing of somatosensory information at the level of S1 may
be enough to solve a scaling task, as they observed, but might be
insufficient to solve a true discrimination task. Our interpretations
are also consistent with a study in which the hand representation in S1
was lesioned in monkeys trained to categorize the speed of moving
tactile stimuli (Zainos et al., 1997 ). After the lesion the monkeys
never recovered the ability to categorize, but their ability to detect
skin indentations, a much simpler task, was intact. In conclusion, the
distinction between a true discrimination task that forces the animal
to use higher cognitive mechanisms and simpler tasks that allow
alternate strategies is subtle, and is not always obvious, but is
crucial for the interpretation of neurophysiological results.
The discrimination paradigm described here eliminates the possibility
of ambiguities and is well suited for neurophysiological studies. In
this task the stimulus can be finely controlled; the same primary
afferents are activated by the two stimuli; there is sensory and motor
lateralization; and it probably involves a working memory mechanism for
the analysis and comparison of time-dependent signals. It is thus an
interesting model for exploring the neuronal basis of these
processes.
FOOTNOTES
Received April 9, 1997; revised May 21, 1997; accepted May 27, 1997.
The research of R. Romo was supported in part by an International
Research Scholars Award from the Howard Hughes Medical Institute and
grants from DGAPA-UNAM, CONACyT and Fundación Miguel Alemán AC. We appreciate the technical assistance of Antonio Zainos and Sergio
Méndez.
Correspondence should be addressed to Ranulfo Romo, Instituto de
Fisiología Celular, Universidad Nacional Autónoma de
México, Apartado Postal 70-253, 04510 México DF,
México.
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