PMID- 23895049 OWN - NLM STAT- MEDLINE DCOM- 20140605 LR - 20191210 IS - 1530-888X (Electronic) IS - 0899-7667 (Linking) VI - 25 IP - 12 DP - 2013 Dec TI - On the continuous differentiability of inter-spike intervals of synaptically connected cortical spiking neurons in a neuronal network. PG - 3183-206 LID - 10.1162/NECO_a_00503 [doi] AB - We derive conditions for continuous differentiability of inter-spike intervals (ISIs) of spiking neurons with respect to parameters (decision variables) of an external stimulating input current that drives a recurrent network of synaptically connected neurons. The dynamical behavior of individual neurons is represented by a class of discontinuous single-neuron models. We report here that ISIs of neurons in the network are continuously differentiable with respect to decision variables if (1) a continuously differentiable trajectory of the membrane potential exists between consecutive action potentials with respect to time and decision variables and (2) the partial derivative of the membrane potential of spiking neurons with respect to time is not equal to the partial derivative of their firing threshold with respect to time at the time of action potentials. Our theoretical results are supported by showing fulfillment of these conditions for a class of known bidimensional spiking neuron models. FAU - Kumar, Gautam AU - Kumar G AD - Department of Chemical Engineering & Bioengineering Program, Lehigh University, Bethlehem, PA 18015, U.S.A. gak206@gmail.com. FAU - Kothare, Mayuresh V AU - Kothare MV LA - eng PT - Journal Article PT - Research Support, U.S. Gov't, Non-P.H.S. DEP - 20130729 PL - United States TA - Neural Comput JT - Neural computation JID - 9426182 SB - IM MH - Action Potentials/*physiology MH - *Brain-Computer Interfaces MH - *Neural Networks, Computer MH - Neurons/*physiology EDAT- 2013/07/31 06:00 MHDA- 2014/06/06 06:00 CRDT- 2013/07/31 06:00 PHST- 2013/07/31 06:00 [entrez] PHST- 2013/07/31 06:00 [pubmed] PHST- 2014/06/06 06:00 [medline] AID - 10.1162/NECO_a_00503 [doi] PST - ppublish SO - Neural Comput. 2013 Dec;25(12):3183-206. doi: 10.1162/NECO_a_00503. Epub 2013 Jul 29.