 |
Previous Article | Next Article 
Journal of Neuroscience, Vol 11, 1959-1979, Copyright © 1991 by Society for Neuroscience
A detailed model of the primary visual pathway in the cat: comparison of afferent excitatory and intracortical inhibitory connection schemes for orientation selectivity
F Worgotter and C Koch
Computation and Neural Systems Program, California Institute of Technology, Pasadena 91125.
In order to arrive at a quantitative understanding of the dynamics of
cortical neuronal networks, we simulated a detailed model of the primary
visual pathway of the adult cat. This computer model comprises a 5 degrees
x 5 degrees patch of the visual field at a retinal eccentricity of 4.5
degrees and includes 2048 ON- and OFF-center retinal beta-ganglion cells,
8192 geniculate X-cells, and 4096 simple cells in layer IV in area 17. The
neurons are implemented as improved integrate-and-fire units. Cortical
receptive fields are determined by the pattern of afferent convergence and
by inhibitory intracortical connections. Orientation columns are
implemented continuously with a realistic receptive field scatter and
jitter in the preferred orientations. We first show that realistic
ON-OFF-responses, orientation selectivity, velocity low-pass behaviour,
null response, and responses to spot stimuli can be obtained with an
appropriate alignment of geniculate neurons converging onto the cortical
simple cell (Hubel and Wiesel, 1962) and in the absence of intracortical
connections. However, the average receptive field elongation (length to
width) required to obtain realistic orientation tuning is 4.0, much higher
than the average observed elongation. This strongly argues for additional
intracortical mechanisms sharpening orientation selectivity. In the second
stage, we simulated five different inhibitory intracortical connection
patterns (random, local, sparse-local, circular, and cross-orientation) in
order to investigate the connection specificity necessary to achieve
orientation tuning. Inhibitory connection schemes were superimposed onto
Hubel and Wiesel-type receptive fields with an elongation of 1.78.
Cross-orientation inhibition gave rise to different horizontal and vertical
orientation tuning curves, something not observed experimentally. A
combination of two inhibitory schemes, local and circular inhibition (a
weak form of cross-orientation inhibition), is in good agreement with
observed receptive field properties. The specificity required to establish
these connections during development is low. We propose that orientation
selectivity is caused by at least three different mechanisms ("eclectic"
model): a weak afferent geniculate bias, broadly tuned cross-orientation
inhibition, and some iso-orientation inhibition. The most surprising
finding is that an isotropic connection scheme, circular inhibition, in
which a cell inhibits all of its postsynaptic target cells at a distance of
approximately 500 microns, enhances orientation tuning and leads to a
significant directional bias. This is caused by the embedding of cortical
cells within a columnar structure and does not depend on our specific
assumptions.(ABSTRACT TRUNCATED AT 400 WORDS)
This article has been cited by other articles:

|
 |

|
 |
 
Y. Banitt, K. A. C. Martin, and I. Segev
A Biologically Realistic Model of Contrast Invariant Orientation Tuning by Thalamocortical Synaptic Depression
J. Neurosci.,
September 19, 2007;
27(38):
10230 - 10239.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
F. Sengpiel and V. Vorobyov
Intracortical Origins of Interocular Suppression in the Visual Cortex
J. Neurosci.,
July 6, 2005;
25(27):
6394 - 6400.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
E. E. Kwegyir-Afful, R. M. Bruno, D. J. Simons, and A. Keller
The Role of Thalamic Inputs in Surround Receptive Fields of Barrel Neurons
J. Neurosci.,
June 22, 2005;
25(25):
5926 - 5934.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. Hill and G. Tononi
Modeling Sleep and Wakefulness in the Thalamocortical System
J Neurophysiol,
March 1, 2005;
93(3):
1671 - 1698.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. A. Frazor, D. G. Albrecht, W. S. Geisler, and A. M. Crane
Visual Cortex Neurons of Monkeys and Cats: Temporal Dynamics of the Spatial Frequency Response Function
J Neurophysiol,
June 1, 2004;
91(6):
2607 - 2627.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
H. Tamura, H. Kaneko, K. Kawasaki, and I. Fujita
Presumed Inhibitory Neurons in the Macaque Inferior Temporal Cortex: Visual Response Properties and Functional Interactions With Adjacent Neurons
J Neurophysiol,
June 1, 2004;
91(6):
2782 - 2796.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
T. Z. Lauritzen and K. D. Miller
Different Roles for Simple-Cell and Complex-Cell Inhibition in V1
J. Neurosci.,
November 12, 2003;
23(32):
10201 - 10213.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. M. Carcieri, A. L. Jacobs, and S. Nirenberg
Classification of Retinal Ganglion Cells: A Statistical Approach
J Neurophysiol,
September 1, 2003;
90(3):
1704 - 1713.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C.-H. Mo and C. Koch
Modeling Reverse-Phi Motion-Selective Neurons in Cortex: Double Synaptic-Veto Mechanism
Neural Comput.,
April 1, 2003;
15(4):
735 - 759.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. H. Hennig, K. Funke, and F. Worgotter
The Influence of Different Retinal Subcircuits on the Nonlinearity of Ganglion Cell Behavior
J. Neurosci.,
October 1, 2002;
22(19):
8726 - 8738.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
N. J. Priebe and S. G. Lisberger
Constraints on the Source of Short-Term Motion Adaptation in Macaque Area MT. II. Tuning of Neural Circuit Mechanisms
J Neurophysiol,
July 1, 2002;
88(1):
370 - 382.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. E. Bredfeldt and D. L. Ringach
Dynamics of Spatial Frequency Tuning in Macaque V1
J. Neurosci.,
March 1, 2002;
22(5):
1976 - 1984.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
N. Laaris and A. Keller
Functional Independence of Layer IV Barrels
J Neurophysiol,
February 1, 2002;
87(2):
1028 - 1034.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
B. Roerig and B. Chen
Relationships of Local Inhibitory and Excitatory Circuits to Orientation Preference Maps in Ferret Visual Cortex
Cereb Cortex,
February 1, 2002;
12(2):
187 - 198.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
T. Wennekers
Orientation Tuning Properties of Simple Cells in Area V1 Derived from an Approximate Analysis of Nonlinear Neural Field Models
Neural Comput.,
August 1, 2001;
13(8):
1721 - 1747.
[Abstract]
[Full Text]
|
 |
|

|
 |

|
 |
 
K. Suder, F. Wörgötter, and T. Wennekers
Neural Field Model of Receptive Field Restructuring in Primary Visual Cortex
Neural Comput.,
January 1, 2001;
13(1):
139 - 159.
[Abstract]
[Full Text]
|
 |
|

|
 |

|
 |
 
D. McLaughlin, R. Shapley, M. Shelley, and D. J. Wielaard
A neuronal network model of macaque primary visual cortex (V1): Orientation selectivity and dynamics in the input layer 4Calpha
PNAS,
June 23, 2000;
(2000)
110135097.
[Abstract]
[Full Text]
|
 |
|

|
 |

|
 |
 
T. W. Troyer, A. E. Krukowski, N. J. Priebe, and K. D. Miller
Contrast-Invariant Orientation Tuning in Cat Visual Cortex: Thalamocortical Input Tuning and Correlation-Based Intracortical Connectivity
J. Neurosci.,
August 1, 1998;
18(15):
5908 - 5927.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
F. S. Chance, S. B. Nelson, and L. F. Abbott
Synaptic Depression and the Temporal Response Characteristics of V1 Cells
J. Neurosci.,
June 15, 1998;
18(12):
4785 - 4799.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. Douglas, C Koch, M Mahowald, K. Martin, and H. Suarez
Recurrent excitation in neocortical circuits
Science,
August 18, 1995;
269(5226):
981 - 985.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
D. Buonomano and M. Merzenich
Temporal information transformed into a spatial code by a neural network with realistic properties
Science,
February 17, 1995;
267(5200):
1028 - 1030.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
D. McLaughlin, R. Shapley, M. Shelley, and D. J. Wielaard
A neuronal network model of macaque primary visual cortex (V1): Orientation selectivity and dynamics in the input layer 4Calpha
PNAS,
July 5, 2000;
97(14):
8087 - 8092.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|