Search Results - "Chadwick, Angus"

One model to rule them all: Unification of voltage-gated potassium channel models via deep non-linear mixed effects modelling.

Authors: Linkevicius, Domas Chadwick, Angus Stefan, Melanie I. et al.

Source: PLoS Computational Biology. 4/27/2026, Vol. 22 Issue 4, p1-33. 33p.

Learning, sleep replay and consolidation of contextual fear memories: A neural network model.

Authors: Werne, Lars Chadwick, Angus Seriès, Peggy

Source: PLoS Computational Biology. 3/17/2026, Vol. 22 Issue 3, p1-28. 28p.

Fitting and comparison of calcium-calmodulin kinetic schemes to a common data set using non-linear mixed effects modelling.

Authors: Linkevicius, Domas Chadwick, Angus Faas, Guido C. et al.

Source: PLoS ONE. 2/7/2025, Vol. 20 Issue 2, p1-30. 30p.

Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex.

Authors: Khan, Adil G. Poort, Jasper Chadwick, Angus et al.

Source: Nature Neuroscience. Jun2018, Vol. 21 Issue 6, p851-859. 9p. 5 Graphs.

Flexible theta sequence compression mediated via phase precessing interneurons.

Authors: Chadwick, Angus van Rossum, Mark C. W. Nolan, Matthew F.

Source: eLife. 2016, p1-46. 46p.

Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping.

Authors: Chadwick, Angus van Rossu, Mark CW Nolan, Matthew F.

Source: eLife. 2015, p1-25. 25p.

Learning shapes cortical dynamics to enhance integration of relevant sensory input.

Authors: Chadwick, Angus Khan, Adil G. Poort, Jasper et al.

Source: Neuron. Jan2023, Vol. 111 Issue 1, p106-106. 1p.

A model of hippocampal cell assembly dynamics based on single-cell theta phase precession.

Authors: Chadwick, Angus Nolan, Matthew F. Rossum, Mark .C. W. Van

Source: BMC Neuroscience. 2013, Vol. 14 Issue Suppl 1, p1-1. 1p.

Hippocampal theta sequences : from phenomenology to circuit mechanisms

Authors: Chadwick, Angus

Committee Members: Van Rossum, Mark; Nolan, Matthew

URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.721172

Learning and attention increase visual response selectivity through distinct mechanisms.

Authors: Poort, Jasper Wilmes, Katharina A. Blot, Antonin et al.

Source: Neuron. Feb2022, Vol. 110 Issue 4, p686-686. 1p.