Stimulus-dependent correlations and population codes Export

@article{josic_09_stimulus-dependent, abstract = {The magnitude of correlations between stimulus-driven responses of pairsof neurons can itself be stimulus-dependent. We examine how thisdependence impacts the information carried by neural populations aboutthe stimuli that drive them. Stimulus-dependent changes in correlationscan both carry information directly and modulate the informationseparately carried by the firing rates and variances. We use Fisherinformation to quantify these effects and show that, although stimulusdependent correlations often carry little information directly, theirmodulatory effects on the overall information can be large. Inparticular, if the stimulus-dependence is such that correlationsincrease with stimulus-induced firing rates, this can significantlyenhance the information of the population when the structure ofcorrelations is determined solely by the stimulus. However, in thepresence of additional strong spatial decay of correlations, suchstimulus-dependence may have a negative impact. Opposite relationshipshold when correlations decrease with firing rates.}, archivePrefix = {arXiv}, author = {Josic, K. and Brown, E. Shea and Doiron, B. and Rocha, De L.}, citeulike-article-id = {5819423}, citeulike-linkout-0 = {http://arxiv.org/abs/0810.2152}, citeulike-linkout-1 = {http://arxiv.org/pdf/0810.2152}, citeulike-linkout-2 = {http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2008arXiv0810.2152J}, citeulike-linkout-3 = {http://dx.doi.org/doi:10.1162/neco.2009.10-08-879}, citeulike-linkout-4 = {http://www.mitpressjournals.org/doi/abs/10.1162/neco.2009.10-08-879}, day = {18}, doi = {doi:10.1162/neco.2009.10-08-879}, eprint = {0810.2152}, eprint = {0810.2152}, journal = {Neural Computation}, keywords = {coding, correlation, information, population}, month = {September}, number = {10}, pages = {2774--2804}, posted-at = {2009-09-22 09:17:02}, priority = {2}, title = {Stimulus-dependent correlations and population codes}, url = {http://dx.doi.org/doi:10.1162/neco.2009.10-08-879}, volume = {21}, year = {2009} }

TY - JOUR ID - josic_09_stimulus-dependent L3 - citeulike-article-id:5819423 N2 - The magnitude of correlations between stimulus-driven responses of pairsof neurons can itself be stimulus-dependent. We examine how thisdependence impacts the information carried by neural populations aboutthe stimuli that drive them. Stimulus-dependent changes in correlationscan both carry information directly and modulate the informationseparately carried by the firing rates and variances. We use Fisherinformation to quantify these effects and show that, although stimulusdependent correlations often carry little information directly, theirmodulatory effects on the overall information can be large. Inparticular, if the stimulus-dependence is such that correlationsincrease with stimulus-induced firing rates, this can significantlyenhance the information of the population when the structure ofcorrelations is determined solely by the stimulus. However, in thepresence of additional strong spatial decay of correlations, suchstimulus-dependence may have a negative impact. Opposite relationshipshold when correlations decrease with firing rates. IS - 10 JF - Neural Computation EP - 2804 TI - Stimulus-dependent correlations and population codes VL - 21 SP - 2774 KW - coding KW - correlation KW - information KW - population AU - Josic, K AU - Brown, Shea AU - Doiron, B AU - Rocha, De PY - 2009/September/18/ UR - http://dx.doi.org/doi:10.1162/neco.2009.10-08-879 ER -