On nonlinearity in neural encoding models applied to the primary visual cortex.
Within the regression framework, we show how different levels of nonlinearity influence the instantaneous firing rate prediction of single neurons. Nonlinearity can be achieved in several ways. In particular, we can enrich the predictor set with basis expansions of the input variables (enlarging the...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2011
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