Fractional order memcapacitive neuromorphic elements reproduce and predict neuronal function.

ABSTRACT: There is an increasing need to implement neuromorphic systems that are both energetically and computationally efficient. There is also great interest in using electric elements with memory, memelements, that can implement complex neuronal functions intrinsically. A feature not widely incorporated in neuromorphic systems is history-dependent action potential time adaptation which is widely seen in real cells. Previous theoretical work shows that power-law history dependent spike time adaptation, seen in several brain areas and species, can be modeled with fractional order differential equations. Here, we show that fractional order spiking neurons can be implemented using super-capacitors. The super-capacitors have fractional order derivative and memcapacitive properties. We implemented two

SUBMITTER: Vazquez-Guerrero P 

PROVIDER: S-EPMC10925066 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature