Synaptic energy drives the information processing mechanisms in spiking neural networks

Author:

El Laithy Karim, ,Bogdan Martin

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Reference30 articles.

1. State based model of long-term potentiation and synaptic tagging and capture,;A. B. Barrett;PLoS Comput. Biol.,2009

2. Towards a Brain-Inspired Information Processing System: Modeling and Analysis of Synaptic Dynamics,;K. El-laithy;Ph.D thesis,2011

3. Synchrony state generation in artificial neural networks with stochastic synapses,;K. El-Laithy;in Artificial Neural Networks - ICANN 2009,2009

4. Predicting spike-timing of a thalamic neuron using a stochastic synaptic model,;K. El-Laithy;in ESANN Proceedings,2010

5. A hypothetical free synaptic energy function and related states of synchrony,;K. El-Laithy;in Artificial Neural Networks and Machine Learning - ICANN 2011,2011

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1. Enhancements on the Modified Stochastic Synaptic Model: The Functional Heterogeneity;Artificial Neural Networks and Machine Learning – ICANN 2017;2017

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