19 citations · 21 across the 4 of their papers we have counts for
5 papers
Growing dendrites enhance a neuron's computational power and memory capacity
William B Levy, Robert A. Baxter
Neocortical pyramidal neurons have many dendrites, and such dendrites are capable of, in isolation of one-another, generating a neuronal spike. It is also now understood that there…
Cerebral cortical communication overshadows computational energy-use, but these combine to predict synapse number
William B Levy, Victoria G. Calvert
Darwinian evolution tends to produce energy-efficient outcomes. On the other hand, energy limits computation, be it neural and probabilistic or digital and logical. Taking a partic…
Complexity Leads to Simplicity: A Consensus Layer V Pyramidal Neuron Can Sustain Interpulse-Interval Coding
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. As a proxy for IPI, the time-to-spi…
Neural computation from first principles: Using the maximum entropy method to obtain an optimal bits-per-joule neuron
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. Earlier work loo…
Neural computation at the thermal limit
William B. Levy, Toby Berger, Ilya A. Fleidervish
Although several measurements and analyses support the idea that the brain is energy-optimized, there is one disturbing, contradictory observation: In theory, computation limited b…