Title | ||
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Mean Field Approach for Configuring Population Dynamics on a Biohybrid Neuromorphic System. |
Abstract | ||
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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. |
Year | Venue | DocType |
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2019 | arXiv: Emerging Technologies | Journal |
Volume | Citations | PageRank |
abs/1904.10389 | 0 | 0.34 |
References | Authors | |
0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Johannes Partzsch | 1 | 89 | 14.56 |
Christian Mayr | 2 | 72 | 15.71 |
Massimiliano Giulioni | 3 | 8 | 2.47 |
Marko Noack | 4 | 14 | 2.49 |
Stefan Hänzsche | 5 | 0 | 0.34 |
Stefan Scholze | 6 | 0 | 0.68 |
Hoppner, S. | 7 | 4 | 1.77 |
Paolo Del Giudice | 8 | 208 | 24.76 |
René Schüffny | 9 | 133 | 24.49 |