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- Title
Channel identification machines for multidimensional receptive fields.
- Authors
Lazar, Aurel A.; Slutskiy, Yevgeniy B.
- Abstract
We present algorithms for identifying multidimensional receptive fields directly from spike trains produced by biophysically-grounded neuron models. We demonstrate that only the projection of a receptive field onto the input stimulus space may be perfectly identified and derive conditions under which this identification is possible. We also provide detailed examples of identification of neural circuits incorporating spatiotemporal and spectrotemporal receptive fields.
- Subjects
NEURONS; POSTSYNAPTIC potential; VOLTAGE spikes; ALGORITHMS; ION channels; NEURAL circuitry
- Publication
Frontiers in Computational Neuroscience, 2014, Vol 8, p1
- ISSN
1662-5188
- Publication type
Article
- DOI
10.3389/fncom.2014.00117