John M. Beggs
John M. Beggs
Associate Professor of Physics, Indiana University
כתובת אימייל מאומתת בדומיין - דף הבית
צוטט על ידי
צוטט על ידי
Neuronal avalanches in neocortical circuits
JM Beggs, D Plenz
Journal of neuroscience 23 (35), 11167-11177, 2003
Neuronal avalanches are diverse and precise activity patterns that are stable for many hours in cortical slice cultures
JM Beggs, D Plenz
Journal of neuroscience 24 (22), 5216-5229, 2004
The criticality hypothesis: how local cortical networks might optimize information processing
JM Beggs
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2008
Critical branching captures activity in living neural networks and maximizes the number of metastable states
C Haldeman, JM Beggs
Physical review letters 94 (5), 058101, 2005
Being critical of criticality in the brain
JM Beggs, N Timme
Frontiers in physiology 3, 163, 2012
Universal critical dynamics in high resolution neuronal avalanche data
N Friedman, S Ito, BAW Brinkman, M Shimono, REL DeVille, KA Dahmen, ...
Physical review letters 108 (20), 208102, 2012
A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro
A Tang, D Jackson, J Hobbs, W Chen, JL Smith, H Patel, A Prieto, ...
Journal of Neuroscience 28 (2), 505-518, 2008
Extending transfer entropy improves identification of effective connectivity in a spiking cortical network model
S Ito, ME Hansen, R Heiland, A Lumsdaine, AM Litke, JM Beggs
PloS one 6 (11), e27431, 2011
Synergy, redundancy, and multivariate information measures: an experimentalist’s perspective
N Timme, W Alford, B Flecker, JM Beggs
Journal of computational neuroscience 36 (2), 119-140, 2014
Rich-club organization in effective connectivity among cortical neurons
S Nigam, M Shimono, S Ito, FC Yeh, N Timme, M Myroshnychenko, ...
Journal of Neuroscience 36 (3), 670-684, 2016
Functional clusters, hubs, and communities in the cortical microconnectome
M Shimono, JM Beggs
Cerebral Cortex 25 (10), 3743-3757, 2015
High-degree neurons feed cortical computations
NM Timme, S Ito, M Myroshnychenko, S Nigam, M Shimono, FC Yeh, ...
PLoS computational biology 12 (5), e1004858, 2016
Quasicritical brain dynamics on a nonequilibrium Widom line
RV Williams-García, M Moore, JM Beggs, G Ortiz
Physical Review E 90 (6), 062714, 2014
Learning and memory: Basic mechanisms
JM Beggs, TH Brown, JH Byrne, T Crow, JE LeDoux, K LeBar, ...
Analysis of power laws, shape collapses, and neural complexity: new techniques and matlab support via the ncc toolbox
N Marshall, NM Timme, N Bennett, M Ripp, E Lautzenhiser, JM Beggs
Frontiers in physiology 7, 250, 2016
Prolonged synaptic integration in perirhinal cortical neurons
JM Beggs, JR Moyer Jr, JP McGann, TH Brown
Journal of Neurophysiology 83 (6), 3294-3298, 2000
Large-scale, high-resolution multielectrode-array recording depicts functional network differences of cortical and hippocampal cultures
S Ito, FC Yeh, E Hiolski, P Rydygier, DE Gunning, P Hottowy, N Timme, ...
PloS one 9 (8), e105324, 2014
Criticality maximizes complexity in neural tissue
NM Timme, NJ Marshall, N Bennett, M Ripp, E Lautzenhiser, JM Beggs
Frontiers in physiology 7, 425, 2016
Maximum entropy approaches to living neural networks
FC Yeh, A Tang, JP Hobbs, P Hottowy, W Dabrowski, A Sher, A Litke, ...
Entropy 12 (1), 89-106, 2010
Neuronal avalanches and criticality: A dynamical model for homeostasis
D Hsu, JM Beggs
Neurocomputing 69 (10-12), 1134-1136, 2006
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מאמרים 1–20