Spike-triggered neural characterization.
By Odelia Schwartz, Jonathan W. Pillow, Nicole C. Rust, Eero P. Simoncelli. Journal of Vision, 2006
465 citations recorded by the source corpus.
Response properties of sensory neurons are commonly described using receptive fields. This description may be formalized in a 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.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/13edfaff28a8f1a29ef387b4896f9976f48aab86
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In Cellular and Molecular Neuroscience
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- Minjoon Kouh
- Michael J. Berry
- Tomaso A. Poggio
- William Bialek
- Josh Tenenbaum
- Samuel J. Gershman
- E. Vul
In Cognitive Neuroscience
- Minjoon Kouh
- Josh Tenenbaum
- Le Chang
- Olivier Marre
- Samuel J. Gershman
- Doris Y. Tsao
- Tomaso A. Poggio
- William Bialek
Citations in the corpus
- Predictive information in a sensory population (2013, methodology): “Could near-optimal prediction result from known receptive field properties of these cells? To test this, we have made conventional linear/nonlinear (LN) models of the individual neurons in our dataset (21, 22): image sequences are projected linearly onto a template (spatiotemporal receptive field), ”
- A Canonical Neural Circuit for Cortical Nonlinear Operations (2008, methodology): “The energy and the divisive normalization models are well known and more often studied ( Schwartz, Pillow, Rust, & Simoncelli, 2006 ).”
- The code for facial identity in the primate brain (2017, methodology): “…information about facial features To quantify neuronal tuning to the 50 dimensions of the face space, responses of each neuron were first used to calculate a “spike-triggered average” (STA) stimulus (Schwartz et al., 2006), i.e., the average stimulus that triggered the neuron to fire (Figure 1D).”
- A Structured Model of Video Reproduces Primary Visual Cortical Organisation (2009, background): “The subspace-dimensionality of a complex cell may be estimated by finding the number of eigenvalues of the spike-triggered covariance (STC) matrix [59] that differ from the overall stimulus distribution.”
- Multistability and Perceptual Inference (2012, methodology): “Thus, perceptual inference in our model can be mapped approximately onto a linear-nonlinear Poisson cascade (Schwartz et al., 2006): (1) a”