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- Adam Kohn
- Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York 10461;
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- Ruben Coen-Cagli
- Department of Basic Neuroscience, University of Geneva, CH-1211 Geneva, Switzerland;,
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- Ingmar Kanitscheider
- Department of Basic Neuroscience, University of Geneva, CH-1211 Geneva, Switzerland;,
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- Alexandre Pouget
- Department of Basic Neuroscience, University of Geneva, CH-1211 Geneva, Switzerland;,
説明
<jats:p> Brain function involves the activity of neuronal populations. Much recent effort has been devoted to measuring the activity of neuronal populations in different parts of the brain under various experimental conditions. Population activity patterns contain rich structure, yet many studies have focused on measuring pairwise relationships between members of a larger population—termed noise correlations. Here we review recent progress in understanding how these correlations affect population information, how information should be quantified, and what mechanisms may give rise to correlations. As population coding theory has improved, it has made clear that some forms of correlation are more important for information than others. We argue that this is a critical lesson for those interested in neuronal population responses more generally: Descriptions of population responses should be motivated by and linked to well-specified function. Within this context, we offer suggestions of where current theoretical frameworks fall short. </jats:p>
収録刊行物
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- Annual Review of Neuroscience
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Annual Review of Neuroscience 39 (1), 237-256, 2016-07-08
Annual Reviews