Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks

ns. We have previously developed an abstract dynamical system for networks of spiking neurons that has allowed us to identify the criterion for the stationary dynamics of a network to be sensitive to initial conditions. Guided by this criterion, we analyzed the dynamics of several recurrent cortical architectures, including one from the orientation selectivity literature. Based on the results, we conclude that under conditions of sustained, Poisson-like, weakly correlated, low to moderate levels of internal activity as found in the cortex, it is unlikely that recurrent cortical networks can robustly generate precise spike trajectories, that is, spatiotemporal patterns of spikes precise to the millisecond timescale.

• Type: Journal
• Year: 2008
• Where: NECO
• Authors: Arunava Banerjee, Peggy Seriès, Alexandre Pouget
• Keywords: NECO 2008, Orientation Selectivity Literature, Recurrent Cortical Architectures, Recurrent Cortical Networks