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Neuromorphic dendritic network with silent synapses for visual motion perception
A neuromorphic computational model based on multigate silicon nanowire transistors can perform dendritic computation by integrating synaptic organization with dendritic tree-like morphology and can be used to develop a multilayer network system that emulates three-dimensional spatial motion perception in the retina.
Based on the physics of multigate silicon nanowire transistors with ion-doped sol–gel films, our model—termed dendristor—performs dendritic computation at the device and neural-circuit level. Jones, I. S. & Kording, K. P. Might a single neuron solve interesting machine learning problems through successive computations on its dendritic tree? Lavzin, M., Rapoport, S., Polsky, A., Garion, L. & Schiller, J. Nonlinear dendritic processing determines angular tuning of barrel cortex neurons in vivo.
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