Metastability in senescence S Naik, A Banerjee, RS Bapi, G Deco, D Roy Trends in cognitive sciences 21 (7), 509-521, 2017 | 73 | 2017 |
Spatiotemporal re-organization of large-scale neural assemblies underlies bimanual coordination A Banerjee, E Tognoli, JAS Kelso, VK Jirsa Neuroimage 62 (3), 1582-1592, 2012 | 73 | 2012 |
Quantitative evaluation in estimating sources underlying brain oscillations using current source density methods and beamformer approaches T Halder, S Talwar, AK Jaiswal, A Banerjee eNeuro 6 (4), 2019 | 68 | 2019 |
Mode level cognitive subtraction (MLCS) quantifies spatiotemporal reorganization in large-scale brain topographies A Banerjee, E Tognoli, CG Assisi, JAS Kelso, VK Jirsa NeuroImage 42 (2), 663-674, 2008 | 55 | 2008 |
How do neural connectivity and time delays influence bimanual coordination? A Banerjee, VK Jirsa Biological cybernetics 96 (2), 265-278, 2007 | 49 | 2007 |
Temporal microstructure of cortical networks (TMCN) underlying task-related differences A Banerjee, AS Pillai, JR Sperling, JF Smith, B Horwitz NeuroImage 62 (3), 1643-1657, 2012 | 48 | 2012 |
Aperiodic and periodic components of ongoing oscillatory brain dynamics link distinct functional aspects of cognition across adult lifespan K Thuwal, A Banerjee, D Roy Eneuro 8 (5), 2021 | 42 | 2021 |
Large scale functional brain networks underlying temporal integration of audio-visual speech perception: An EEG study GV Kumar, T Halder, AK Jaiswal, A Mukherjee, D Roy, A Banerjee Frontiers in psychology 7, 1558, 2016 | 35 | 2016 |
Whole-brain network models: from physics to bedside A Pathak, D Roy, A Banerjee Frontiers in Computational Neuroscience 16, 866517, 2022 | 33 | 2022 |
Multiscale dynamic mean field (MDMF) model relates resting-state brain dynamics with local cortical excitatory–inhibitory neurotransmitter homeostasis A Naskar, A Vattikonda, G Deco, D Roy, A Banerjee Network Neuroscience 5 (3), 757-782, 2021 | 30 | 2021 |
Lifespan associated global patterns of coherent neural communication B Sahoo, A Pathak, G Deco, A Banerjee, D Roy Neuroimage 216, 116824, 2020 | 29 | 2020 |
Does the regulation of local excitation–inhibition balance aid in recovery of functional connectivity? A computational account A Vattikonda, BR Surampudi, A Banerjee, G Deco, D Roy Neuroimage 136, 57-67, 2016 | 27 | 2016 |
Translating neuroscience to the front lines: point-of-care detection of neuropsychiatric disorders J Dasgupta, S Bhavnani, GL Estrin, D Mukherjee, A Banerjee, ... The Lancet Psychiatry 3 (10), 915-917, 2016 | 22 | 2016 |
Using large-scale neural models to interpret connectivity measures of cortico-cortical dynamics at millisecond temporal resolution A Banerjee, AS Pillai, B Horwitz Frontiers in Systems Neuroscience 5, 102, 2012 | 22 | 2012 |
A dynamical framework to relate perceptual variability with multisensory information processing B Thakur, A Mukherjee, A Sen, A Banerjee Scientific reports 6 (1), 31280, 2016 | 21 | 2016 |
Large-scale functional integration, rather than functional dissociation along dorsal and ventral streams, underlies visual perception and action D Ray, N Hajare, D Roy, A Banerjee Journal of cognitive neuroscience 32 (5), 847-861, 2020 | 19 | 2020 |
A likelihood method for computing selection times in spiking and local field potential activity A Banerjee, HL Dean, B Pesaran Journal of neurophysiology 104 (6), 3705-3720, 2010 | 18 | 2010 |
Neural substrate of group mental health: Insights from multi-brain reference frame in functional neuroimaging D Ray, D Roy, B Sindhu, P Sharan, A Banerjee Frontiers in psychology 8, 1627, 2017 | 16 | 2017 |
Reconfiguration of directed functional connectivity among neurocognitive networks with aging: Considering the role of thalamo-cortical interactions M Das, V Singh, LQ Uddin, A Banerjee, D Roy Cerebral Cortex 31 (4), 1970-1986, 2021 | 15 | 2021 |
Parametric models to relate spike train and LFP dynamics with neural information processing A Banerjee, HL Dean, B Pesaran Frontiers in computational neuroscience 6, 51, 2012 | 15 | 2012 |