Neural correlations, population coding and computation Export

@article{AVE06, abstract = {How the brain encodes information in population activity, and how it combines and manipulates that activity as it carries out computations, are questions that lie at the heart of systems neuroscience. During the past decade, with the advent of multi-electrode recording and improved theoretical models, these questions have begun to yield answers. However, a complete understanding of neuronal variability, and, in particular, how it affects population codes, is missing. This is because variability in the brain is typically correlated, and although the exact effects of these correlations are not known, it is known that they can be large. Here, we review studies that address the interaction between neuronal noise and population codes, and discuss their implications for population coding in general.}, author = {Averbeck, Bruno B. and Latham, Peter E. and Pouget, Alexandre}, citeulike-article-id = {599134}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nrn1888}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nrn1888}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/16760916}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=16760916}, day = {01}, doi = {10.1038/nrn1888}, issn = {1471-003X}, journal = {Nature Reviews Neuroscience}, keywords = {bayesian, computation, population\_code, statistics}, month = {May}, number = {5}, pages = {358--366}, posted-at = {2009-09-21 13:21:12}, priority = {2}, publisher = {Nature Publishing Group}, title = {Neural correlations, population coding and computation}, url = {http://dx.doi.org/10.1038/nrn1888}, volume = {7}, year = {2006} }

TY - JOUR ID - AVE06 L3 - citeulike-article-id:599134 N2 - How the brain encodes information in population activity, and how it combines and manipulates that activity as it carries out computations, are questions that lie at the heart of systems neuroscience. During the past decade, with the advent of multi-electrode recording and improved theoretical models, these questions have begun to yield answers. However, a complete understanding of neuronal variability, and, in particular, how it affects population codes, is missing. This is because variability in the brain is typically correlated, and although the exact effects of these correlations are not known, it is known that they can be large. Here, we review studies that address the interaction between neuronal noise and population codes, and discuss their implications for population coding in general. IS - 5 JF - Nature Reviews Neuroscience SN - 1471-003X EP - 366 TI - Neural correlations, population coding and computation PB - Nature Publishing Group VL - 7 SP - 358 KW - bayesian KW - computation KW - population_code KW - statistics AU - Averbeck, Bruno AU - Latham, Peter AU - Pouget, Alexandre PY - 2006/05/01/ UR - http://dx.doi.org/10.1038/nrn1888 ER -