Structural plasticity driven by task performance leads to criticality signatures in neuromorphic oscillator networks.

ABSTRACT: Oscillator networks rapidly become one of the promising vehicles for energy-efficient computing due to their intrinsic parallelism of execution. The criticality property of the oscillator-based networks is regarded to be essential for performing complex tasks. There are numerous bio-inspired synaptic and structural plasticity mechanisms available, especially for spiking neural networks, which can drive the network towards the criticality. However, there is no solid connection between these self-adaption mechanisms and the task performance, and it is not clear how and why particular self-adaptation mechanisms contribute to the solution of the task, although their relation to criticality is understood. Here we propose an evolutionary approach for the structural plasticity that relies solely

SUBMITTER: Feketa P 

PROVIDER: S-EPMC9468161 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature