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bioRxiv · 10.1101/2020.10.27.358390

Towards Biophysically-Based Neuromorphic Computing at Scale: Markov Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission

Wagner, M. S.·Bartol, T. M.·Sejnowski, T. J.·Cauwenberghs, G.
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Abstract

Progress in computational neuroscience towards understanding brain function is challenged both by the complexity of molecular-scale electrochemical interactions at the level of individual neurons and synapses and the dimensionality of network dynamics across the brain covering a vast range of spatial and temporal scales. Our work abstracts an existing highly detailed, biophysically realistic 3D reaction-diffusion model of a chemical synapse to a compact internal state space representation that maps onto parallel neuromorphic hardware for efficient emulation at a very large scale and offers near-equivalence in input-output dynamics while preserving biologically interpretable tunable parameters.

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Wagner, M. S., Bartol, T. M., Sejnowski, T. J., Cauwenberghs, G.. 2020-10-28. Towards Biophysically-Based Neuromorphic Computing at Scale: Markov Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission. https://doi.org/10.1101/2020.10.27.358390

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