Gamma and beta bursts underlie working memory M Lundqvist, J Rose, P Herman, SL Brincat, TJ Buschman, EK Miller Neuron 90 (1), 152-164, 2016 | 777 | 2016 |
Working Memory 2.0 EK Miller, M Lundqvist, AM Bastos Neuron 100 (2), 463-475, 2018 | 683 | 2018 |
Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory AM Bastos, R Loonis, S Kornblith, M Lundqvist, EK Miller Proceedings of the National Academy of Sciences 115 (5), 1117-1122, 2018 | 287 | 2018 |
Working memory: delay activity, yes! Persistent activity? Maybe not M Lundqvist, P Herman, EK Miller Journal of neuroscience 38 (32), 7013-7019, 2018 | 283 | 2018 |
Gamma and beta bursts during working memory readout suggest roles in its volitional control M Lundqvist, P Herman, MR Warden, SL Brincat, EK Miller Nature communications 9 (1), 394, 2018 | 277 | 2018 |
Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network model M Lundqvist, P Herman, A Lansner Journal of cognitive neuroscience 23 (10), 3008-3020, 2011 | 230 | 2011 |
Beta oscillations in working memory, executive control of movement and thought, and sensorimotor function R Schmidt, MH Ruiz, BE Kilavik, M Lundqvist, PA Starr, AR Aron Journal of Neuroscience 39 (42), 8231-8238, 2019 | 228 | 2019 |
Layer and rhythm specificity for predictive routing AM Bastos, M Lundqvist, AS Waite, N Kopell, EK Miller Proceedings of the National Academy of Sciences 117 (49), 31459-31469, 2020 | 197 | 2020 |
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems D Brüderle, MA Petrovici, B Vogginger, M Ehrlich, T Pfeil, S Millner, ... Biological cybernetics 104, 263-296, 2011 | 145 | 2011 |
Bistable, irregular firing and population oscillations in a modular attractor memory network M Lundqvist, A Compte, A Lansner PLoS Computational Biology 6 (6), e1000803, 2010 | 136 | 2010 |
Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer M Djurfeldt, M Lundqvist, C Johansson, M Rehn, O Ekeberg, A Lansner IBM Journal of Research and Development 52 (1.2), 31-41, 2008 | 135 | 2008 |
Attractor dynamics in a modular network model of neocortex M Lundqvist, M Rehn, M Djurfeldt, A Lansner Network: Computation in Neural Systems 17 (3), 253-276, 2006 | 114 | 2006 |
Neural effects of propofol-induced unconsciousness and its reversal using thalamic stimulation AM Bastos, JA Donoghue, SL Brincat, M Mahnke, J Yanar, J Correa, ... Elife 10, e60824, 2021 | 103 | 2021 |
Dynamic coordination in the brain: from neurons to mind C Von Der Malsburg, WA Phillips, W Singer MIT press, 2010 | 95 | 2010 |
Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms MA Petrovici, B Vogginger, P Müller, O Breitwieser, M Lundqvist, L Muller, ... PloS one 9 (10), e108590, 2014 | 77 | 2014 |
Traveling waves in the prefrontal cortex during working memory S Bhattacharya, SL Brincat, M Lundqvist, EK Miller PLoS computational biology 18 (1), e1009827, 2022 | 54 | 2022 |
Preservation and changes in oscillatory dynamics across the cortical hierarchy M Lundqvist, AM Bastos, EK Miller Journal of Cognitive Neuroscience 32 (10), 2024-2035, 2020 | 45 | 2020 |
Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor network PA Herman, M Lundqvist, A Lansner Brain Research 1536, 68-87, 2013 | 43 | 2013 |
Interhemispheric transfer of working memories SL Brincat, JA Donoghue, MK Mahnke, S Kornblith, M Lundqvist, ... Neuron 109 (6), 1055-1066. e4, 2021 | 37 | 2021 |
Effect of prestimulus alpha power, phase, and synchronization on stimulus detection rates in a biophysical attractor network model M Lundqvist, P Herman, A Lansner Journal of Neuroscience 33 (29), 11817-11824, 2013 | 37 | 2013 |