# Show Reference: "Reinforcement learning in populations of spiking neurons"

Reinforcement learning in populations of spiking neurons Nature Neuroscience, Vol. 12, No. 3. (15 February 2009), pp. 250-252, doi:10.1038/nn.2264 by Robert Urbanczik, Walter Senn
@article{urbanczik-and-senn-2009,
abstract = {Population coding is widely regarded as an important mechanism for achieving reliable behavioral responses despite neuronal variability. However, standard reinforcement learning slows down with increasing population size, as the global reward signal becomes less and less related to the performance of any single neuron. We found that learning speeds up with increasing population size if, in addition to global reward, feedback about the population response modulates synaptic plasticity.},
author = {Urbanczik, Robert and Senn, Walter},
day = {15},
doi = {10.1038/nn.2264},
issn = {1097-6256},
journal = {Nature Neuroscience},
keywords = {ann, bayes, learning},
month = feb,
number = {3},
pages = {250--252},
pmid = {19219040},
posted-at = {2011-11-03 14:12:42},
priority = {2},
publisher = {Nature Publishing Group},
title = {Reinforcement learning in populations of spiking neurons},
url = {http://dx.doi.org/10.1038/nn.2264},
volume = {12},
year = {2009}
}