Activity dependent structural plasticity in neuromorphic systems

Abstract

Research in neuroscience suggests that networks of biological neurons undergo a constant reconfiguration of their topology via activity-dependent plasticity mechanisms. The observed growing and retracting of dendritic spines can be hypothesized to be a resource-optimizing strategy that limits the amount of energy spent on maintaining a large number synapses that are not contributing to the networks performance. Neuromorphic analog VLSI emulates biophysical processes of neural tissue using CMOS transistors operated in the sub-threshold Show more