We here describe and demonstrate a biologically plausible adaptive algorithm that enables a neuron to adapt the current threshold and the slope (or gain) of its ...
It is generally assumed that nerve cells optimize their performance to reflect the statistics of their input. Electronic circuit analogs of neurons require ...
We here describe and demonstrate a biologically plausible adaptive algorithm that enables a neuron to adapt the current threshold and the slope (or gain) of its ...
It is generally assumed that nerve cells optimize their performance to reflect the statistics of their input. Electronic circuit analogs of neurons.
Adaptive noise shaping neural spike encoding and decoding
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In this paper, I present how the noise shaping neural coding hypothesis resulted in such a precise model without any available experimental data at that time.
A biologically plausible adaptive algorithm is described and demonstrated that enables a neuron to adapt the current threshold and the slope of its ...
Many neural systems are able to adjust their input–output properties such that an input's ability to trigger a response depends on the size of that input ...
Shin J, Koch C, Douglas R. (1999). Adaptive neural coding dependent on the time-varying statistics of the somatic input current. Neural computation.
We examine the dynamics of a neural code in the context of stimuli whose statistical properties are themselves evolving dynamically. Adaptation to these ...
Missing: Somatic | Show results with:Somatic
Our results describe how both variance-dependent gain modulation and adaptive neural computation result from intrinsic nonlinearity.