Information processing in a neuron ensemble with the multiplicative correlation structure.

@article{citeulike:2218755, abstract = {The present study investigates the performance of population codes when the fluctuations in neural activity have mutual correlation with strength being proportional to the neuronal firing rate (multiplicative noise). The neural field is used to calculate the Fisher information, which is decomposed in two parts, one due to the tuning function and spatial correlation, and the other due to the multiplicative structure. Their different characteristics are studied. The paper also investigates three types of maximum likelihood method, namely, decoding by using faithful and unfaithful models and the Center of Mass strategy, and compares their performances in terms of decoding accuracy and computational complexity.}, address = {Department of Informatics, Sussex University, Brighton, BN1 9QH UK. siwu@cogs.susx.ac.uk}, author = {Wu, S. and Amari, S. and Nakahara, H. }, citeulike-article-id = {2218755}, doi = {10.1016/j.neunet.2003.10.003}, issn = {0893-6080}, journal = {Neural Netw}, keywords = {neural}, month = {March}, number = {2}, pages = {205--214}, posted-at = {2008-01-11 12:07:26}, priority = {2}, title = {Information processing in a neuron ensemble with the multiplicative correlation structure.}, url = {http://dx.doi.org/10.1016/j.neunet.2003.10.003}, volume = {17}, year = {2004} }

TY - JOUR ID - citeulike:2218755 L3 - citeulike-article-id:2218755 TI - Information processing in a neuron ensemble with the multiplicative correlation structure. JF - Neural Netw VL - 17 IS - 2 SP - 205 EP - 214 AD - Department of Informatics, Sussex University, Brighton, BN1 9QH UK. siwu@cogs.susx.ac.uk SN - 0893-6080 N2 - The present study investigates the performance of population codes when the fluctuations in neural activity have mutual correlation with strength being proportional to the neuronal firing rate (multiplicative noise). The neural field is used to calculate the Fisher information, which is decomposed in two parts, one due to the tuning function and spatial correlation, and the other due to the multiplicative structure. Their different characteristics are studied. The paper also investigates three types of maximum likelihood method, namely, decoding by using faithful and unfaithful models and the Center of Mass strategy, and compares their performances in terms of decoding accuracy and computational complexity. KW - neural AU - Wu, S AU - Amari, S AU - Nakahara, H PY - 2004/03// UR - http://dx.doi.org/10.1016/j.neunet.2003.10.003 ER -