Vi strävar efter att koppla samman neurala mekanismer med beteende, och använder därför en kombination av modellering, invasiv elektrophysiologi och icke invasiva metoder som EEG och MEG. Målet är att knyta samman dessa skalor, från neuron till kognition.

Mikael Lundqvist
Mikael Lundqvist


Mikael Lundqvist


  • Vetenskapsrådet 2018-2021
  • NARSAD Young Investigator Award, 2020-2021


As information flows through brain’s heirarchy, higher regions use higher frequency waves, från The Picower Institute vid Massachusetts Institute of Technology, 8 september 2020.

ERC-anslag för forskning om mänsklig kognition och generaliserande artificiell intelligens, från Psykologiska institutionen, 3 september 2020.

Konferenspublikationer 2019

Lundqvist, M. An inhibitory role of cortical beta in working memory control and clear out. SFN 2019 presentation.

Bastos M., Donoghue J., Shvartsman C., Ynar J., Lundqvist M., Tauber J., Mahkne M., Waite A., Brown E., Miller EK. Testing the mechanisms of cortical fragmentation with propofol induced loss of consciousness and large scale cortical recordings in the non human primate. SFN 2019 Poster.

Lundqvist, M., Bastos, A., Miller, EK. Are oscillatory correlates of working memory preserved across cortex? SFN 2019 Poster.

Kozachkov L., Lundqvist M., Slotine J.J., Miller, E.K. Achieving and using stability in neural circuits. SFN 2019 Poster.

Donoghue, J., Yanar, J., Kowalski, M., Kornblith, S., Mahnke, M., Lundqvist, M., Roy, J., Bastos, A., Kopell, N., Brown, E., Miller, E.K. Thalamic stimulation reverses GABAergic but not anti-glutamatergic general anesthesia in monkeys. SFN 2019 Poster.

Brincat, S.L., Donoghue, J., Lundqvist, M., Mahnke, M., Miller, E.K. Bilateral transfer of working memory traces in prefrontal cortex. SFN 2019 Poster.

Manuskript under granskning och revision

Bastos, A., Lundqvist, M., Waite, A., Kopell, N., & Miller, E.K. Layer and rhythm specificity for predictive coding.

Publikationer 2020

Lundqvist, M., Bastos, A. M., & Miller, E. K. (2020). Preservation and Changes in Oscillatory Dynamics Across the Cortical Hierarchy. Journal of cognitive neuroscience, 1-12.

Kozachkov, L., Lundqvist, M., Slotine, J. J., & Miller, E. K. (2020). Achieving stable dynamics in neural circuits. Plos Comp Biology.

Brincat, S. L., Donoghue, J. A., Mahnke, M. K., Kornblith, S., Lundqvist, M., & Miller, E. K. (2020). Interhemispheric transfer of working memories. bioRxiv.

Bastos, A. M., Donoghue, J. A., Brincat, S. L., Mahnke, M., Yanar, J., Correa, J., Lundqvist, M., & Miller, E. K. (2020). Neural effects of propofol-induced unconsciousness and its reversal using thalamic stimulation. bioRxiv.

Publikationer 2019

Schmidt, R., Ruiz, M.H., Kilavik, B.E., Lundqvist, M., Starr, P.A., & Aron, A.R. (2019). Beta Oscillations in Working Memory, Executive Control of Movement and Thought, and Sensorimotor Function. Journal of Neuroscience, 39(42), 8231-8238.

Publikationer 2018

Miller, E.K., Lundqvist, M., & Bastos, A.M. (2018). Working Memory 2.0. Neuron, 100(2), 463-475.

Lundqvist, M., Herman, P., & Miller, E.K. (2018). Working memory: delay activity, yes! Persistent activity? Maybe not. Journal of Neuroscience, 38(32), 7013-7019.

Bastos, A.M., Loonis, R., Kornblith, S., Lundqvist, M., & Miller, E.K. (2018). Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory. Proceedings of the National Academy of Sciences, 115(5), 1117-1122.

Lundqvist, M., Herman, P., Warden, M.R., Brincat, S. L., & Miller, E.K. (2018). Gamma and beta bursts during working memory readout suggest roles in its volitional control. Nature communications, 9(1), 394.

Publikationer 2016

Lundqvist, M., Rose, J., Herman, P., Brincat, S.L., Buschman, T.J., & Miller, E.K. (2016). Gamma and beta bursts underlie working memory. Neuron, 90(1), 152-164.

Publikationer 2014

Petrovici, M.A., Vogginger, B., Müller, P., Breitwieser, O., Lundqvist, M., Muller, L., ... & Schemmel, J. (2014). Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms. PloS one, 9(10), e108590.

Publikationer 2013

Lundqvist, M., Herman, P., Palva, M., Palva, S., Silverstein, D., & Lansner, A. (2013). 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. Neuroimage, 83, 458-471.

Herman, P.A., Lundqvist, M., & Lansner, A. (2013). Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor network. Brain research, 1536, 68-87.

Lundqvist, M., Herman, P., & Lansner, A. (2013). Effect of prestimulus alpha power, phase, and synchronization on stimulus detection rates in a biophysical attractor network model. Journal of Neuroscience, 33(29), 11817-11824.

Publikationer 2012

Lundqvist, M., Herman, P., & Lansner, A. (2012). Variability of spike firing during theta-coupled replay of memories in a simulated attractor network. Brain research, 1434, 152-161.

Publikationer 2011

Lundqvist, M., Herman, P., & Lansner, A. (2011). Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network model. Journal of cognitive neuroscience, 23(10), 3008-3020.

Brüderle, D., Petrovici, M.A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., ... & de Oliveira, D.H. (2011). A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biological cybernetics, 104(4-5), 263-296.

Publikationer 2010

Lundqvist, M., Compte, A., & Lansner, A. (2010). Bistable, irregular firing and population oscillations in a modular attractor memory network. PLoS Computational Biology, 6(6), e1000803.

Publikationer 2008

Djurfeldt, M., Lundqvist, M., Johansson, C., Rehn, M., Ekeberg, O., & Lansner, A. (2008). Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer. IBM Journal of Research and Development, 52(1.2), 31-41.

Publikationer 2006

Lundqvist, M., Rehn, M., & Lansner, A. (2006). Attractor dynamics in a modular network model of the cerebral cortex. Neurocomputing, 69(10-12), 1155-1159.

Lundqvist, M., Rehn, M., Djurfeldt, M., & Lansner, A. (2006). Attractor dynamics in a modular network model of neocortex. Network: Computation in Neural Systems, 17(3), 253-276.

Djurfeldt, M., Johansson, C., Ekeberg, Ö., Rehn, M., Lundqvist, M., & Lansner, A. (2005). Massively parallel simulation of brain-scale neuronal network models.