Neuromorphic dendritic network with silent synapses for visual motion perception
Researchers developed dendristor, a neuromorphic model combining synaptic organization and dendritic morphology for visual motion perception. It uses silicon nanowire transistors and ion-doped sol-gel films to mimic dendritic computation, enabling direction selectivity and spatial motion perception in neural circuits.
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Researchers have developed a neuromorphic computational model called dendristor that combines synaptic organization with dendritic morphology to mimic visual motion perception. This model utilizes multigate silicon nanowire transistors with ion-doped sol-gel films to perform dendritic computation at both the device and neural-circuit levels. By integrating excitatory/inhibitory synaptic inputs and silent synapses with diverse spatial distribution dependency, the dendristor can emulate direction selectivity, a feature crucial for reacting to signal direction on the dendrite. Additionally, a neuromorphic dendritic neural circuit has been created as a building block for a multilayer network system that replicates three-dimensional spatial motion perception in the retina. This innovative approach moves away from the traditional point neuron model to better capture the spatiotemporal nature of neuronal computation, offering new insights into how dendritic morphology and synaptic organization contribute to information processing in the brain.
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2 commentsHere's the abstract:
> "Neuromorphic technologies typically employ a point neuron model, neglecting the spatiotemporal nature of neuronal computation. Dendritic morphology and synaptic organization are structurally tailored for spatiotemporal information processing, such as visual perception. Here we report a neuromorphic computational model that integrates synaptic organization with dendritic tree-like morphology. 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. The dendristor offers the bioplausible nonlinear integration of excitatory/inhibitory synaptic inputs and silent synapses with diverse spatial distribution dependency, emulating direction selectivity, which is the feature that reacts to signal direction on the dendrite. We also develop a neuromorphic dendritic neural circuit—a network of interconnected dendritic neurons—that serves as a building block for the design of a multilayer network system that emulates three-dimensional spatial motion perception in the retina."
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