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Statistical Mechanics of Spike Trains: Self-Consistent Activity Ensembles and Phase Transitions
We introduce a statistical-mechanical framework for spiking neuronal systems in which entire spike trains, defined as spatiotemporal configurations of discrete events, are treated as microstates of the system. Instead of modeling explicit network dynamics, we construct an ensemble over complete spik
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