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Spike-triggered Neural Characterization.
Odelia Schwartz, Jonathan W. Pillow, Nicole C. Rust, and Eero P. Simoncelli.
Journal
of Vision, 2006.
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Neural responses are commonly described using linear receptive
fields. This may be generalized to a response model
that operates with a small set of linear filters whose outputs
are nonlinearly combined to determine the instantaneous firing
rate. Spike-triggered average and covariance analyses can be
used to estimate the filters and nonlinear combination rule from
extracellular experimental data. We describe this methodology,
demonstrating it with simulated model neuron examples that
emphasize practical issues that arise in experimental situations.
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