Recovery of Dynamics and Function in Spiking Neural Networks with Closed-Loop Control.

ABSTRACT: There is a growing interest in developing novel brain stimulation methods to control disease-related aberrant neural activity and to address basic neuroscience questions. Conventional methods for manipulating brain activity rely on open-loop approaches that usually lead to excessive stimulation and, crucially, do not restore the original computations performed by the network. Thus, they are often accompanied by undesired side-effects. Here, we introduce delayed feedback control (DFC), a conceptually simple but effective method, to control pathological oscillations in spiking neural networks (SNNs). Using mathematical analysis and numerical simulations we show that DFC can restore a wide range of aberrant network dynamics either by suppressing or enhancing synchronous irregular activity. Im

SUBMITTER: Vlachos I 

PROVIDER: S-EPMC4734620 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature