To analyze neuronal activity from an information-energy efficiency standpoint, Berger and Levy calculated the maximum Shannon mutual information transfer per ...

Here, we extend their IIF model to a biophysically more realistic one in which synaptic weights are unequal. Using information theory, random Poisson measures,.

A Berger-Levy energy efficient neuron model with unequal synaptic weights · Jie Xing, T. Berger, T. Sejnowski · Published in IEEE International Symposium… 1 July ...

To analyze neuronal activity from an information-energy efficiency standpoint, Berger and Levy calculated the maximum Shannon mutual information transfer per ...

Here, we seek to extend the IIF model to a more biophysically realistic model where synaptic weights are unequal, using information theory, random measures,.

Jie Xing, Toby Berger, Terrence J. Sejnowski: A Berger-Levy energy efficient neuron model with unequal synaptic weights. ISIT 2012: 2964-2968.

Jul 8, 2013 · Xing J, Berger T, Sejnowski TJ. A Berger-Levy energy efficient neuron model with unequal synaptic weights. Proc of IEEE Int Symp on ...

Feb 7, 2018 · A Berger-Levy energy efficient neuron model with unequal synaptic weights. References. Authors. Sejnowski TJ Show Other; Berger T Show Other ...

Oct 22, 2024 · 56(2):852-874. 2. Xing J, Berger T, Sejnowski TJ: A Berger-Levy energy efficient neuron. model with unequal synaptic weights. Proc of IEEE Int ...

Extending Berger-Levy Bits/Joule-Maximizing Neuron. Theory to A Model With Unequal Synaptic Weights. Jie Xing and Toby Berger.