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Gerald T. Finnerty

Researcher at King's College London

Publications -  23
Citations -  932

Gerald T. Finnerty is an academic researcher from King's College London. The author has contributed to research in topics: Excitatory postsynaptic potential & Epilepsy. The author has an hindex of 15, co-authored 22 publications receiving 773 citations. Previous affiliations of Gerald T. Finnerty include Imperial College London & University of Cambridge.

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Cognitive behavioural therapy for adults with dissociative seizures (CODES): a pragmatic, multicentre, randomised controlled trial

Laura H. Goldstein, +184 more
TL;DR: This pragmatic, parallel-arm, multicentre randomised controlled trial aimed to compare the effectiveness of cognitive behavioural therapy (CBT) plus standardisedmedical care with standardised medical care alone for the reduction of dissociative seizure frequency.
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Sensory Experience and Cortical Rewiring

TL;DR: These findings have begun to unravel how rewiring occurs in adult neocortex and offer new insights into the cellular mechanisms for learning and memory.
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Epileptic high-frequency network activity in a model of non-lesional temporal lobe epilepsy

TL;DR: Interictal fast ripples proved a significantly more reliable marker of the primary epileptogenic zone than the presence of either interictal discharges or ripples, suggesting that fast ripple activity should be considered for its potential value in the pre-surgical workup of non-lesional temporal lobe epilepsy.
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Sensory Experience Alters Cortical Connectivity and Synaptic Function Site Specifically

TL;DR: It is shown that sensory deprivation induces a striking reduction in connectivity between layer 2/3 pyramidal neurons in deprived cortex without large-scale, compensatory increases in the strength of remaining local excitatory connections.
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Time in Cortical Circuits

TL;DR: This work explores how the temporal features of neural activity in cortical circuits and their capacity for plasticity can contribute to time-dependent cognition over short time scales and proposes that understanding the neural basis for how the brain tells time and operates in time will be necessary to develop general models of cognition.