Mikael Lundqvist
Cited by
Cited by
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
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
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
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 (4-5), 263-296, 2011
Bistable, irregular firing and population oscillations in a modular attractor memory network
M Lundqvist, A Compte, A Lansner
PLoS Comput Biol 6 (6), e1000803, 2010
Working Memory 2.0
EK Miller, M Lundqvist, AM Bastos
Neuron 100 (2), 463-475, 2018
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
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
Working memory: delay activity, yes! Persistent activity? Maybe not
M Lundqvist, P Herman, EK Miller
Journal of Neuroscience 38 (32), 7013-7019, 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
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
Massively parallel simulation of brain-scale neuronal network models
M Djurfeldt, C Johansson, Ö Ekeberg, M Rehn, M Lundqvist, A Lansner
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
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
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
Variability of spike firing during theta-coupled replay of memories in a simulated attractor network
M Lundqvist, P Herman, A Lansner
Brain research 1434, 152-161, 2012
Attractor dynamics in a modular network model of the cerebral cortex
M Lundqvist, M Rehn, A Lansner
Neurocomputing 69 (10-12), 1155-1159, 2006
Stimulus detection rate and latency, firing rates and 1–40 Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model
M Lundqvist, P Herman, M Palva, S Palva, D Silverstein, A Lansner
Neuroimage 83, 458-471, 2013
Layer and rhythm specificity for predictive routing
AM Bastos, M Lundqvist, AS Waite, N Kopell, EK Miller
NEURON-D-20-00146, 2020
Preservation and changes in oscillatory dynamics across the cortex
MK Lundqvist, AM Bastos, EK Miller
bioRxiv, 2020
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