Live Demonstration: Unlocking the Potential of Two-Point Neuronal Cells for Energy-Efficient Training of Deep Networks

This paper is the first live demonstration of the transformative computational potential of context-sensitive two-point layer 5 pyramidal cells (L5PCs). We will showcase a Multi-Processor System on Chip (MPSoC)-based implementation of a biologically plausible L5PC-driven deep neural network (DNN), termed multisensory cooperative computing (MCC). This will be shown to effectively process heterogeneous real-world audio-visual data consuming far less energy compared to state-of-the-art ‘point’ neuron-driven DNNs. Our approach opens new cross-disciplinary avenues for future on-chip DNN training implementations and posits a radical shift in current neuromorphic computing paradigms.