Threshold adaptation keeps a recurrent neuron network near its critical point, where the variance (not the mean) of population firing encodes weak stimuli, a coding mode that survives across coupling strengths while rate coding is preserved for strong inputs.
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Optimal rate-variance coding due to firing threshold adaptation near criticality
Threshold adaptation keeps a recurrent neuron network near its critical point, where the variance (not the mean) of population firing encodes weak stimuli, a coding mode that survives across coupling strengths while rate coding is preserved for strong inputs.