We are interested in linking neural mechanisms to behavior, and therefore use a combination of computational modelling, invasive recordings and non-invasive human recordings such as EEG and MEG. The goal is to cross these scales from neuron to cognition.
 

Mikael Lundqvist
Mikael Lundqvist

Primary investigator

Mikael Lundqvist
e-post: mikael.lundqvist@su.se
 

Funding

  • Vetenskapsrådet 2018-2021
  • NARSAD Young Investigator Award, 2020-2021
  • ERC starting grant 2020
     

Press releases

As information flows through brain’s heirarchy, higher regions use higher frequency waves, from The Picower Institute at Massachusetts Institute of Technology, September 8, 2020.

ERC funding for research into human cognition and generalising artificial intelligence, from the Department of Psychology, September 3, 2020.
 

Publications 2021

Lundqvist, M., & Wutz, A. (2021). New methods for oscillation analyses push new theories of discrete cognition. Psychophysiology.

Brincat, S. L., Donoghue, J. A., Mahnke, M. K., Kornblith, S., Lundqvist, M., & Miller, E. K. (2021). Interhemispheric transfer of working memories. Neuron.

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

Publications 2020

Bastos, A. M., Lundqvist, M., Waite, A. S., Kopell, N., & Miller, E. K. (2020). Layer and rhythm specificity for predictive routing. Proceedings of the National Academy of Sciences, 117(49), 31459-31469.

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.

Publications 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.

Publications 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.

Publications 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.

Publications 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.

Publications 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.

Publications 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.

Publications 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.

Publications 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.

Publications 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.

Publications 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.