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James A. Henderson
James A. Henderson
Postdoctoral Research Fellow, The University of Sydney
Verified email at sydney.edu.au
Title
Cited by
Cited by
Year
Geometric effects on complex network structure in the cortex
JA Henderson, PA Robinson
Physical Review Letters 107 (1), 018102, 2011
962011
Spectral Characterization of Hierarchical Modularity in Product Architectures1
S Sarkar, A Dong, JA Henderson, PA Robinson
Journal of mechanical design 136 (1), 011006, 2014
742014
Dynamical reconnection and stability constraints on cortical network architecture
PA Robinson, JA Henderson, E Matar, P Riley, RT Gray
Physical review letters 103 (10), 108104, 2009
692009
Determination of effective brain connectivity from functional connectivity with application to resting state connectivities
PA Robinson, S Sarkar, GM Pandejee, JA Henderson
Physical Review E 90 (1), 012707, 2014
662014
Relations between the geometry of cortical gyrification and white-matter network architecture
JA Henderson, PA Robinson
Brain connectivity 4 (2), 112-130, 2014
452014
Spectral characterization of hierarchical network modularity and limits of modularity detection
S Sarkar, JA Henderson, PA Robinson
PloS one 8 (1), e54383, 2013
322013
Using geometry to uncover relationships between isotropy, homogeneity, and modularity in cortical connectivity
JA Henderson, PA Robinson
Brain connectivity 3 (4), 423-437, 2013
292013
Spike event based learning in neural networks
JA Henderson, TTA Gibson, J Wiles
arXiv preprint arXiv:1502.05777, 2015
182015
Inference of direct and multistep effective connectivities from functional connectivity of the brain and of relationships to cortical geometry
G Mehta-Pandejee, PA Robinson, JA Henderson, KM Aquino, S Sarkar
Journal of neuroscience methods 283, 42-54, 2017
172017
Determination of dynamic brain connectivity via spectral analysis
PA Robinson, JA Henderson, NC Gabay, KM Aquino, T Babaie-Janvier, ...
Frontiers in Human Neuroscience 15, 655576, 2021
102021
Predicting temporal sequences using an event-based spiking neural network incorporating learnable delays
TA Gibson, JA Henderson, J Wiles
2014 International Joint Conference on Neural Networks (IJCNN), 3213-3220, 2014
102014
Empirical estimation of the eigenmodes of macroscale cortical dynamics: Reconciling neural field eigenmodes and resting-state networks
JA Henderson, KM Aquino, PA Robinson
Neuroimage: Reports 2 (3), 100103, 2022
92022
Brain dynamics and structure-function relationships via spectral factorization and the transfer function
JA Henderson, M Dhamala, PA Robinson
NeuroImage 235, 117989, 2021
82021
Dynamical patterns underlying response properties of cortical circuits
A Keane, JA Henderson, P Gong
Journal of The Royal Society Interface 15 (140), 20170960, 2018
72018
Event-based visual data sets for prediction tasks in spiking neural networks
T Gibson, S Heath, RP Quinn, AH Lee, JT Arnold, TS Sonti, A Whalley, ...
Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014
72014
Functional mechanisms underlie the emergence of a diverse range of plasticity phenomena
JA Henderson, P Gong
PLoS Computational Biology 14 (11), e1006590, 2018
52018
Multielectrode electroencephalogram power spectra: Theory and application to approximate correction of volume conduction effects
JA Henderson, AJK Phillips, PA Robinson
Physical Review E 73 (5), 051918, 2006
42006
Commentary on" The growth of cognition: Free energy minimization and the embryogenesis of cortical computation"
JA Henderson
Physics of life reviews 36, 15-17, 2021
22021
26th annual computational neuroscience meeting (CNS* 2017): part 2
LL Rubchinsky, S Ahn, W Klijn, B Cumming, S Yates, V Karakasis, ...
BMC Neuroscience 18, 1-79, 2017
22017
Generalized neural field theory of cortical plasticity illustrated by an application to the linear phase of ocular dominance column formation in primary visual cortex
MM Aghili Yajadda, PA Robinson, JA Henderson
Biological Cybernetics 116 (1), 33-52, 2022
2022
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