Arpan Banerjee
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Geciteerd door
Metastability in senescence
S Naik, A Banerjee, RS Bapi, G Deco, D Roy
Trends in cognitive sciences 21 (7), 509-521, 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
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
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
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
How do neural connectivity and time delays influence bimanual coordination?
A Banerjee, VK Jirsa
Biological cybernetics 96 (2), 265-278, 2007
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
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, 190824, 2016
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
Whole-brain network models: from physics to bedside
A Pathak, D Roy, A Banerjee
Frontiers in Computational Neuroscience 16, 866517, 2022
Lifespan associated global patterns of coherent neural communication
B Sahoo, A Pathak, G Deco, A Banerjee, D Roy
Neuroimage 216, 116824, 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
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
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
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
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
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
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, 273083, 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
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
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