2019/04/23 by Johannes Partzsch, Partzsch, Johannes, Christian Mayr +15
Computer Science · #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #cs.ET
paper · pdf · doi:10.48550/arxiv.1904.10389
21 pages, 13 figures
arxiv created 2019/04/23 · arxiv updated 2019/04/24
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.