help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Biophysical Journal 58: 1227-1233 (1990)
© 1990 the Biophysical Society

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
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 Google Scholar
Google Scholar
Right arrow Articles by Bialek, W
Right arrow Articles by Owen, W G
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bialek, W
Right arrow Articles by Owen, W G

Temporal filtering in retinal bipolar cells. Elements of an optimal computation?

W Bialek and W G Owen

Department of Physics, University of California, Berkeley 94720.

ABSTRACT

Recent experiments indicate that the dark-adapted vertebrate visual system can count photons with a reliability limited by dark noise in the rod photoreceptors themselves. This suggests that subsequent layers of the retina, responsible for signal processing, add little if any excess noise and extract all the available information. Given the signal and noise characteristics of the photoreceptors, what is the structure of such an optimal processor? We show that optimal estimates of time-varying light intensity can be accomplished by a two-stage filter, and we suggest that the first stage should be identified with the filtering which occurs at the first anatomical stage in retinal signal processing, signal transfer from the rod photoreceptor to the bipolar cell. This leads to parameter-free predictions of the bipolar cell response, which are in excellent agreement with experiments comparing rod and bipolar cell dynamics in the same retina. As far as we know this is the first case in which the computationally significant dynamics of a neuron could be predicted rather than modeled.




This article has been cited by other articles:


Home page
J. Neurosci.Home page
E. P. Hornstein, J. Verweij, P. H. Li, and J. L. Schnapf
Gap-Junctional Coupling and Absolute Sensitivity of Photoreceptors in Macaque Retina
J. Neurosci., November 30, 2005; 25(48): 11201 - 11209.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
P. T. Clark and M. C. W. van Rossum
The Optimal Synapse for Sparse, Binary Signals in the Rod Pathway
Neural Comput., January 1, 2005; 18(1): 26 - 44.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
N. K. Dhingra and R. G. Smith
Spike Generator Limits Efficiency of Information Transfer in a Retinal Ganglion Cell
J. Neurosci., March 24, 2004; 24(12): 2914 - 2922.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
C. E. Armstrong-Gold and F. Rieke
Bandpass Filtering at the Rod to Second-Order Cell Synapse in Salamander (Ambystoma tigrinum) Retina
J. Neurosci., May 1, 2003; 23(9): 3796 - 3806.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
D. M. Schneeweis and J. L. Schnapf
The Photovoltage of Macaque Cone Photoreceptors: Adaptation, Noise, and Kinetics
J. Neurosci., February 15, 1999; 19(4): 1203 - 1216.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
C. Passaglia, F. Dodge, E. Herzog, S. Jackson, and R. Barlow
Deciphering a neural code for vision
PNAS, November 11, 1997; 94(23): 12649 - 12654.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1990 by the Biophysical Society.