Abstract：
:Sensory neuroscience seeks to understand how the brain encodes natural environments. However, neural coding has largely been studied using simplified stimuli. In order to assess whether the brain's coding strategy depends on the stimulus ensemble, we apply a new information-theoretic method that allows unbiased calculation of neural filters (receptive fields) from responses to natural scenes or other complex signals with strong multipoint correlations. In the cat primary visual cortex we compare responses to natural inputs with those to noise inputs matched for luminance and contrast. We find that neural filters adaptively change with the input ensemble so as to increase the information carried by the neural response about the filtered stimulus. Adaptation affects the spatial frequency composition of the filter, enhancing sensitivity to under-represented frequencies in agreement with optimal encoding arguments. Adaptation occurs over 40 s to many minutes, longer than most previously reported forms of adaptation.
journal_name
Naturejournal_title
Natureauthors
Sharpee TO,Sugihara H,Kurgansky AV,Rebrik SP,Stryker MP,Miller KDdoi
10.1038/nature04519keywords:
subject
Has Abstractpub_date
2006-02-23 00:00:00pages
936-42issue
7079eissn
0028-0836issn
1476-4687pii
nature04519journal_volume
439pub_type
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