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NECO
2008

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

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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.
Arunava Banerjee, Peggy Seriès, Alexandre P
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2008
Where NECO
Authors Arunava Banerjee, Peggy Seriès, Alexandre Pouget
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