Neurodegeneration exposes firing rate dependent effects on oscillation dynamics in computational neural networks.

ABSTRACT: Traumatic brain injury (TBI) can lead to neurodegeneration in the injured circuitry, either through primary structural damage to the neuron or secondary effects that disrupt key cellular processes. Moreover, traumatic injuries can preferentially impact subpopulations of neurons, but the functional network effects of these targeted degeneration profiles remain unclear. Although isolating the consequences of complex injury dynamics and long-term recovery of the circuit can be difficult to control experimentally, computational networks can be a powerful tool to analyze the consequences of injury. Here, we use the Izhikevich spiking neuron model to create networks representative of cortical tissue. After an initial settling period with spike-timing-dependent plasticity (STDP), networks develop

SUBMITTER: Gabrieli D 

PROVIDER: S-EPMC7510994 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature