Geometric effects on complex network structure in the cortex JA Henderson, PA Robinson Physical Review Letters 107 (1), 018102, 2011 | 96 | 2011 |
Spectral Characterization of Hierarchical Modularity in Product Architectures1 S Sarkar, A Dong, JA Henderson, PA Robinson Journal of mechanical design 136 (1), 011006, 2014 | 74 | 2014 |
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 | 69 | 2009 |
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 | 67 | 2014 |
Relations between the geometry of cortical gyrification and white-matter network architecture JA Henderson, PA Robinson Brain connectivity 4 (2), 112-130, 2014 | 45 | 2014 |
Spectral characterization of hierarchical network modularity and limits of modularity detection S Sarkar, JA Henderson, PA Robinson PloS one 8 (1), e54383, 2013 | 32 | 2013 |
Using geometry to uncover relationships between isotropy, homogeneity, and modularity in cortical connectivity JA Henderson, PA Robinson Brain connectivity 3 (4), 423-437, 2013 | 29 | 2013 |
Spike event based learning in neural networks JA Henderson, TTA Gibson, J Wiles arXiv preprint arXiv:1502.05777, 2015 | 18 | 2015 |
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 | 17 | 2017 |
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 | 10 | 2021 |
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 | 10 | 2014 |
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 | 9 | 2022 |
Brain dynamics and structure-function relationships via spectral factorization and the transfer function JA Henderson, M Dhamala, PA Robinson NeuroImage 235, 117989, 2021 | 8 | 2021 |
Dynamical patterns underlying response properties of cortical circuits A Keane, JA Henderson, P Gong Journal of The Royal Society Interface 15 (140), 20170960, 2018 | 7 | 2018 |
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 | 7 | 2014 |
Functional mechanisms underlie the emergence of a diverse range of plasticity phenomena JA Henderson, P Gong PLoS Computational Biology 14 (11), e1006590, 2018 | 5 | 2018 |
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 | 4 | 2006 |
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 | 2 | 2021 |
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 | 2 | 2017 |
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 |