Gain modulation and frequency locking under conductance noise.
Michael Rudolph and Alain Destexhe
Neurocomputing 52: 907-912, 2003.
In the intact cortical network, neurons process information while
receiving thousands of synaptic inputs. We investigated how this
noise modulates the ability to resolve constant and oscillatory
stimulation by using simplified neuron models. The cellular
response was precise and reliable for a broad range of model
parameters, while the output rate depended on the stimulus
amplitude. The results suggest that both temporal and rate
coding schemes are not exclusive but rather encode different
aspects of the input at the same time. Conductance noise was
found to play a modulating role, suggesting that high-conductance
noise confers advantageous computational properties to neurons.
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