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Eero P. Simoncelli, John W. Pillow, Jon Shlens, Liam Paninski, E. J. Chichilnisky; Toward characterizion of the complete visual signal in a patch of retina. Journal of Vision 2006;6(13):2. doi: 10.1167/6.13.2.
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© ARVO (1962-2015); The Authors (2016-present)
I'll describe our recent efforts to characterize the spiking responses of a complete network of ON and OFF parasol ganglion cells in a small patch of primate retina, using a general linear model that consists of: (1) a linear receptive field that operates on the stimulus; (2) a feedback filter that captures the effects of the neuron's own spike history; (3) a set of cross-coupling filters that capture the effects of spiking in neighboring cells; and (4) an output nonlinearity that converts the total input to an instantaneous probability of spiking. The model is closely related to the more biophysically realistic integrate-and-fire model, and can exhibit a wide array of biologically relevant dynamical behaviors, such as refractoriness, spike rate adaptation, and bursting. We have applied the model to simultaneously-recorded responses of groups of macaque ON and OFF parasol retinal ganglion cells, stimulated with a 120-Hz spatiotemporal binary white noise stimulus. We find that the model accurately describes the stimulus-driven response (PSTH), and reproduces both the autocorrelations and pairwise cross-correlations of multi-cell responses. Finally, we show that the model can be used to map functional connectivity, providing a complete description of the identity, direction and form of functionally significant connections between cells.
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