Search Results for author: William B. Levy

Found 4 papers, 0 papers with code

Linearization of excitatory synaptic integration at no extra cost

no code implementations Journal of Computational Neuroscience 2018 Danielle Morel, Chandan Singh, William B. Levy

In many theories of neural computation, linearly summed synaptic activation is a pervasive assumption for the computations performed by individual neurons.

A consensus layer v pyramidal neuron can sustain interpulse-interval coding

no code implementations PLOS ONE 2017 Chandan Singh, William B. Levy

As a proxy for an IPI, a neuron’s time-to-spike can be found in the biophysical and experimental intracellular literature.

Complexity Leads to Simplicity: A Consensus Layer V Pyramidal Neuron Can Sustain Interpulse-Interval Coding

no code implementations26 Sep 2016 Chandan Singh, William B. Levy

In terms of the long-distance communication of a single neuron, interpulse intervals (IPIs) are a possible alternative to rate and binary codes.

Neurons and Cognition

Neural computation from first principles: Using the maximum entropy method to obtain an optimal bits-per-joule neuron

no code implementations6 Jun 2016 William B. Levy, Toby Berger, Mustafa Sungkar

Optimization results are one method for understanding neural computation from Nature's perspective and for defining the physical limits on neuron-like engineering.

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