WWW.JNEUROSCI.ORG
-
The Journal of Neuroscience MBF Stereo Investigator
 QUICK SEARCH:   [advanced]


     
-


HOME
  |  
SEARCH  |   ARCHIVE  |   SUBSCRIBE  |   CONTACT  |   HELP

The Journal of Neuroscience, June 8, 2005, 25(23):5521-5532; doi:10.1523/JNEUROSCI.0445-05.2005

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Submit an eLetter
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (20)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Chacron, M. J.
Right arrow Articles by Bastian, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Chacron, M. J.
Right arrow Articles by Bastian, J.

 Previous Article  |  Next Article 

Behavioral/Systems/Cognitive
Feedback and Feedforward Control of Frequency Tuning to Naturalistic Stimuli

Maurice J. Chacron,1 Leonard Maler,2 and Joseph Bastian1

1Department of Zoology, University of Oklahoma, Norman, Oklahoma 73019, and 2Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada K1H 8M5

Sensory neurons must respond to a wide variety of natural stimuli that can have very different spatiotemporal characteristics. Optimal responsiveness to subsets of these stimuli can be achieved by devoting specialized neural circuitry to different stimulus categories, or, alternatively, this circuitry can be modulated or tuned to optimize responsiveness to current stimulus conditions. This study explores the mechanisms that enable neurons within the initial processing station of the electrosensory system of weakly electric fish to shift their tuning properties based on the spatial extent of the stimulus. These neurons are tuned to low frequencies when the stimulus is restricted to a small region within the receptive field center but are tuned to higher frequencies when the stimulus impinges on large regions of the sensory epithelium. Through a combination of modeling and in vivo electrophysiology, we reveal the respective contributions of the filtering characteristics of extended dendritic structures and feedback circuitry to this shift in tuning. Our results show that low-frequency tuning can result from the cable properties of an extended dendrite that conveys receptor-afferent information to the cell body. The shift from low- to high-frequency tuning, seen in response to spatially extensive stimuli, results from increased wide-band input attributable to activation of larger populations of receptor afferents, as well as the activation of parallel fiber feedback from the cerebellum. This feedback provides a cancellation signal with low-pass characteristics that selectively attenuates low-frequency responsiveness. Thus, with spatially extensive stimuli, these cells preferentially respond to the higher-frequency components of the receptor-afferent input.

Key words: weakly electric fish; neural coding; information theory; feedback; dendritic morphology; frequency tuning


Received Feb 2, 2005; revised April 25, 2005; accepted April 27, 2005.




This article has been cited by other articles:


Home page
J. Neurophysiol.Home page
R. Krahe, J. Bastian, and M. J. Chacron
Temporal Processing Across Multiple Topographic Maps in the Electrosensory System
J Neurophysiol, August 1, 2008; 100(2): 852 - 867.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
W. H. Mehaffey, L. Maler, and R. W. Turner
Intrinsic Frequency Tuning in ELL Pyramidal Cells Varies Across Electrosensory Maps
J Neurophysiol, May 1, 2008; 99(5): 2641 - 2655.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
M. J. Chacron and J. Bastian
Population Coding by Electrosensory Neurons
J Neurophysiol, April 1, 2008; 99(4): 1825 - 1835.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
L. D. Ellis, R. Krahe, C. W. Bourque, R. J. Dunn, and M. J. Chacron
Muscarinic Receptors Control Frequency Tuning Through the Downregulation of an A-Type Potassium Current
J Neurophysiol, September 1, 2007; 98(3): 1526 - 1537.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
L. D. Ellis, W. H. Mehaffey, E. Harvey-Girard, R. W. Turner, L. Maler, and R. J. Dunn
SK Channels Provide a Novel Mechanism for the Control of Frequency Tuning in Electrosensory Neurons
J. Neurosci., August 29, 2007; 27(35): 9491 - 9502.
[Abstract] [Full Text] [PDF]


Home page
J. Exp. Biol.Home page
J. A. Kolodziejski, S. E. Sanford, and G. T. Smith
Stimulus frequency differentially affects chirping in two species of weakly electric fish: implications for the evolution of signal structure and function
J. Exp. Biol., July 15, 2007; 210(14): 2501 - 2509.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
D. Gussin, J. Benda, and L. Maler
Limits of Linear Rate Coding of Dynamic Stimuli by Electroreceptor Afferents
J Neurophysiol, April 1, 2007; 97(4): 2917 - 2929.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
S. G. Sadeghi, M. J. Chacron, M. C. Taylor, and K. E. Cullen
Neural Variability, Detection Thresholds, and Information Transmission in the Vestibular System
J. Neurosci., January 24, 2007; 27(4): 771 - 781.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
J. U. Ramcharitar, E. W. Tan, and E. S. Fortune
Global Electrosensory Oscillations Enhance Directional Responses of Midbrain Neurons in Eigenmannia
J Neurophysiol, November 1, 2006; 96(5): 2319 - 2326.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
J. W. Middleton, A. Longtin, J. Benda, and L. Maler
The cellular basis for parallel neural transmission of a high-frequency stimulus and its low-frequency envelope
PNAS, September 26, 2006; 103(39): 14596 - 14601.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
M. J. Chacron
Nonlinear Information Processing in a Model Sensory System
J Neurophysiol, May 1, 2006; 95(5): 2933 - 2946.
[Abstract] [Full Text] [PDF]



-

Home  |   Search  |   Archive  |   Subscribe  |   Contact  |   Help

-
Copyright 2008 by Society for Neuroscience ONLINE ISSN: 1529-2401
-