Modelling thalamocortical circuitry shows that visually induced LTP changes laminar connectivity in human visual cortex.

ABSTRACT: Neuroplasticity is essential to learning and memory in the brain; it has therefore also been implicated in numerous neurological and psychiatric disorders, making measuring the state of neuroplasticity of foremost importance to clinical neuroscience. Long-term potentiation (LTP) is a key mechanism of neuroplasticity and has been studied extensively, and invasively in non-human animals. Translation to human application largely relies on the validation of non-invasive measures of LTP. The current study presents a generative thalamocortical computational model of visual cortex for investigating and replicating interlaminar connectivity changes using non-invasive EEG recording of humans. The model is combined with a commonly used visual sensory LTP paradigm and fit to the empirical EEG data us

SUBMITTER: Sumner RL 

PROVIDER: S-EPMC7853500 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature