Unknown

Dataset Information

Integrating Non-spiking Interneurons in Spiking Neural Networks.


ABSTRACT: Researchers working with neural networks have historically focused on either non-spiking neurons tractable for running on computers or more biologically plausible spiking neurons typically requiring special hardware. However, in nature homogeneous networks of neurons do not exist. Instead, spiking and non-spiking neurons cooperate, each bringing a different set of advantages. A well-researched biological example of such a mixed network is a sensorimotor pathway, responsible for mapping sensory inputs to behavioral changes. This type of pathway is also well-researched in robotics where it is applied to achieve closed-loop operation of legged robots by adapting amplitude, frequency, and phase of the motor output. In this paper we investigate how spiking and non-spiking neurons can be combine

SUBMITTER: Strohmer B 

PROVIDER: S-EPMC7973219 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature