John M. Beggs - RankMe

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Toward a Physics of Deep Learning and Brains. CoRR Arsham Ghavasieh, Meritxell Vila-Minana, Akanksha Khurd, John M. Beggs, Gerardo Ortiz, Santo Fortunato
2023	J	`jnl`	The serotonergic psychedelic N, N-dipropyltryptamine alters information-processing dynamics in cortical neural circuits. CoRR Thomas F. Varley, Daniel Havert, Leandro J. Fosque, Abolfazl Alipour, Naruepon Weerawongphrom, Hiroki Naganobori, Lily O'Shea, Maria Pope, John M. Beggs
2022	J	`jnl`	Addressing skepticism of the critical brain hypothesis. Frontiers Comput. Neurosci. John M. Beggs
2022	J	`jnl`	Quasicriticality explains variability of human neural dynamics across life span. Frontiers Comput. Neurosci. Leandro J. Fosque, Abolfazl Alipour, Marzieh Zare, Rashid V. Williams-García, John M. Beggs, Gerardo Ortiz
2022	J	`jnl`	Revealing the Dynamics of Neural Information Processing with Multivariate Information Decomposition. Entropy Ehren L. Newman, Thomas F. Varley, Vibin Parakkattu, Samantha P. Sherrill, John M. Beggs
2021	J	`jnl`	Partial information decomposition reveals that synergistic neural integration is greater downstream of recurrent information flow in organotypic cortical cultures. PLoS Comput. Biol. Samantha P. Sherrill, Nicholas M. Timme, John M. Beggs, Ehren L. Newman
2020	J	`jnl`	Differential effects of propofol and ketamine on critical brain dynamics. PLoS Comput. Biol. Thomas F. Varley, Olaf Sporns, Aina Puce, John M. Beggs
2016	J	`jnl`	High-Degree Neurons Feed Cortical Computations. PLoS Comput. Biol. Nicholas M. Timme, Shinya Ito, Maxym Myroshnychenko, Sunny Nigam, Masanori Shimono, Fang-Chin Yeh, Pawel Hottowy, Alan M. Litke, John M. Beggs
2014	J	`jnl`	Synergy, redundancy, and multivariate information measures: an experimentalist's perspective. J. Comput. Neurosci. Nicholas M. Timme, Wesley Alford, Benjamin Flecker, John M. Beggs
2011	J	`jnl`	Towards resolving the multivariate information controversy CoRR Nicholas M. Timme, Wesley Alford, Benjamin Flecker, John M. Beggs
2010	J	`jnl`	Maximum Entropy Approaches to Living Neural Networks. Entropy Fang-Chin Yeh, Aonan Tang, Jon P. Hobbs, Pawel Hottowy, Wladyslaw Dabrowski, Alexander Sher, Alan M. Litke, John M. Beggs
2007	J	`jnl`	Neuronal avalanche. Scholarpedia John M. Beggs
2006	J	`jnl`	Neuronal avalanches and criticality: A dynamical model for homeostasis. Neurocomputing David Hsu, John M. Beggs
2001	J	`jnl`	A Statistical Theory of Long-Term Potentiation and Depression. Neural Comput. John M. Beggs