Computer modeling methods for neurons Export

@incollection{hines1998, address = {Cambridge, MA, USA}, author = {Hines, Michael and Carnevale, Nicholas T.}, booktitle = {The handbook of brain theory and neural networks}, citeulike-article-id = {461055}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=303697}, comment = {According to Blynel \& Floreano 2002, shows that Forward Euler is numerically stable when timestep-size is less than twice the smallest time constant in the network.}, editor = {Arbib, Michael A.}, isbn = {0262511029}, keywords = {ann, ctrnn}, pages = {226--230}, posted-at = {2006-01-10 14:49:06}, priority = {2}, publisher = {MIT Press}, title = {Computer modeling methods for neurons}, url = {http://portal.acm.org/citation.cfm?id=303697}, year = {1998} }

TY - CHAP ID - hines1998 L3 - citeulike-article-id:461055 SN - 0262511029 AD - Cambridge, MA, USA EP - 230 TI - Computer modeling methods for neurons PB - MIT Press T2 - The handbook of brain theory and neural networks SP - 226 KW - ann KW - ctrnn N1 - According to Blynel & Floreano 2002, shows that Forward Euler is numerically stable when timestep-size is less than twice the smallest time constant in the network. AU - Hines, Michael AU - Carnevale, Nicholas A2 - Arbib, Michael PY - 1998/// UR - http://portal.acm.org/citation.cfm?id=303697 ER -