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Mean Field Approach for Configuring Population Dynamics on a Biohybrid Neuromorphic System

Real-time coupling of cell cultures to neuromorphic circuits necessitates a neuromorphic network that replicates biological behaviour both on a per-neuron and on a population basis, with a network size comparable to the culture. We present a large neuromorphic system composed of 9 chips, with overal...

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Bibliographic Details
Published in:arXiv.org 2019-04
Main Authors: Partzsch, Johannes, Mayr, Christian, Giulioni, Massimiliano, Noack, Marko, Hänzsche, Stefan, Scholze, Stefan, Höppner, Sebastian, Paolo Del Giudice, Schüffny, Rene
Format: Article
Language:English
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Summary:Real-time coupling of cell cultures to neuromorphic circuits necessitates a neuromorphic network that replicates biological behaviour both on a per-neuron and on a population basis, with a network size comparable to the culture. We present a large neuromorphic system composed of 9 chips, with overall 2880 neurons and 144M conductance-based synapses. As they are realized in a robust switched-capacitor fashion, individual neurons and synapses can be configured to replicate with high fidelity a wide range of biologically realistic behaviour. In contrast to other exploration/heuristics-based approaches, we employ a theory-guided mesoscopic approach to configure the overall network to a range of bursting behaviours, thus replicating the statistics of our targeted in-vitro network. The mesoscopic approach has implications beyond our proposed biohybrid, as it allows a targeted exploration of the behavioural space, which is a non-trivial task especially in large, recurrent networks.
ISSN:2331-8422