Thomas R. Knösche

Affiliations: 
Research Group for Cortical Network and Cognitive Functions Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Sachsen, Germany 
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Gast R, Knösche TR, Kennedy A. (2023) PyRates-A code-generation tool for modeling dynamical systems in biology and beyond. Plos Computational Biology. 19: e1011761
Chien VSC, Wang P, Maess B, et al. (2023) Laminar neural dynamics of auditory evoked responses: Computational modeling of local field potentials in auditory cortex of non-human primates. Neuroimage. 281: 120364
Gast R, Knösche TR, Schmidt H. (2021) Mean-field approximations of networks of spiking neurons with short-term synaptic plasticity. Physical Review. E. 104: 044310
Gast R, Gong R, Schmidt H, et al. (2021) On the role of arkypallidal and prototypical neurons for phase transitions in the external pallidum. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Gong R, Wegscheider M, Mühlberg C, et al. (2020) Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson's disease derived from scalp EEG. Brain : a Journal of Neurology
Gast R, Schmidt H, Knösche TR. (2020) A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation. Neural Computation. 32: 1615-1634
Gast R, Rose D, Salomon C, et al. (2019) PyRates-A Python framework for rate-based neural simulations. Plos One. 14: e0225900
Tittgemeyer M, Rigoux L, Knösche TR. (2018) Cortical parcellation based on structural connectivity: A case for generative models. Neuroimage
Kim SG, Knösche TR. (2017) On the Perceptual Subprocess of Absolute Pitch. Frontiers in Neuroscience. 11: 557
Kim SG, Knösche TR. (2017) Resting state functional connectivity of the ventral auditory pathway in musicians with absolute pitch. Human Brain Mapping
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