Vidne, M., Ahmadian, Y., Shlens, J., Pillow, J. W., Kulkarni, J., Litke, A. M., Chichilnisky, E. J., Simoncelli, E., Paninski, L. (August 2012) Modeling the impact of common noise inputs on the network activity of retinal ganglion cells. Journal of Computational Neuroscience, 33 (1). pp. 97-121. ISSN 09295313 (ISSN)
Abstract
Synchronized spontaneous firing among retinal ganglion cells (RGCs), on timescales faster than visual responses, has been reported in many studies. Two candidate mechanisms of synchronized firing include direct coupling and shared noisy inputs. In neighboring parasol cells of primate retina, which exhibit rapid synchronized firing that has been studied extensively, recent experimental work indicates that direct electrical or synaptic coupling is weak, but shared synaptic input in the absence of modulated stimuli is strong. However, previous modeling efforts have not accounted for this aspect of firing in the parasol cell population. Here we develop a new model that incorporates the effects of common noise, and apply it to analyze the light responses and synchronized firing of a large, densely-sampled network of over 250 simultaneously recorded parasol cells. We use a generalized linear model in which the spike rate in each cell is determined by the linear combination of the spatio-temporally filtered visual input, the temporally filtered prior spikes of that cell, and unobserved sources representing common noise. The model accurately captures the statistical structure of the spike trains and the encoding of the visual stimulus, without the direct coupling assumption present in previous modeling work. Finally, we examined the problem of decoding the visual stimulus from the spike train given the estimated parameters. The common-noise model produces Bayesian decoding performance as accurate as that of a model with direct coupling, but with significantly more robustness to spike timing perturbations. © 2011 Springer Science+Business Media, LLC.
| Item Type: | Paper |
|---|---|
| Additional Information: | |
| Uncontrolled Keywords: | Generalized linear model Multielectrode Random-effects model Recording Retina State-space model |
| Subjects: | organs, tissues, organelles, cell types and functions > tissues types and functions > neural networks organs, tissues, organelles, cell types and functions organs, tissues, organelles, cell types and functions > tissues types and functions |
| CSHL Authors: | |
| Communities: | CSHL labs > Mitra lab |
| Depositing User: | Matt Covey |
| Date: | August 2012 |
| Date Deposited: | 18 Jan 2013 15:04 |
| Last Modified: | 20 Jul 2021 14:05 |
| PMCID: | PMC3560841 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/27073 |
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