期刊
ANNUAL REVIEW OF NEUROSCIENCE, VOL 41
卷 41, 期 -, 页码 77-+出版社
ANNUAL REVIEWS
DOI: 10.1146/annurev-neuro-080317-061936
关键词
information coding; visual cortex; cognition; attention; spike count correlations; noise correlations
资金
- NEI NIH HHS [R00 EY020844, R01 EY022930, P30 EY008098] Funding Source: Medline
Understanding how cognitive processes affect the responses of sensory neurons may clarify the relationship between neuronal population activity and behavior. However, tools for analyzing neuronal activity have not kept up with technological advances in recording from large neuronal populations. Here, we describe prevalent hypotheses of how cognitive processes affect sensory neurons, driven largely by a model based on the activity of single neurons or pools of neurons as the units of computation. We then use simple simulations to expand this model to a new conceptual framework that focuses on subspaces of population activity as the relevant units of computation, uses comparisons between brain areas or to behavior to guide analyses of these subspaces, and suggests that population activity is optimized to decode the large variety of stimuli and tasks that animals encounter in natural behavior. This framework provides new ways of understanding the ever-growing quantity of recorded population activity data.
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