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Helmut Schmidt
Helmut Schmidt
Institute of Computer Science, Czech Academy of Sciences
Verified email at cs.cas.cz
Title
Cited by
Cited by
Year
Dynamics on networks: the role of local dynamics and global networks on the emergence of hypersynchronous neural activity
H Schmidt, G Petkov, MP Richardson, JR Terry
PLoS computational biology 10 (11), e1003947, 2014
952014
Network mechanisms underlying the role of oscillations in cognitive tasks
H Schmidt, D Avitabile, E Montbrió, A Roxin
PLoS computational biology 14 (9), e1006430, 2018
712018
Interface dynamics in planar neural field models
S Coombes, H Schmidt, I Bojak
The Journal of Mathematical Neuroscience 2 (1), 1-27, 2012
662012
A computational biomarker of idiopathic generalized epilepsy from resting state EEG
H Schmidt, W Woldman, M Goodfellow, FA Chowdhury, ...
Epilepsia 57 (10), e200-e204, 2016
582016
Action potential propagation and synchronisation in myelinated axons
H Schmidt, TR Knösche
PLOS Computational Biology 15 (10), e1007004, 2019
552019
A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation
R Gast, H Schmidt, TR Knösche
Neural Computation 32 (9), 1615-1634, 2020
442020
Neural fields with sigmoidal firing rates: approximate solutions
S Coombes, H Schmidt
Discrete and Continuous Dynamical Systems 28 (4), 2010
382010
Waves in random neural media
S Coombes, H Schmidt, CR Laing, N Svanstedt, JA Wyller
Discrete and Continuous Dynamical Systems 32 (8), 2951-2970, 2012
362012
Bumps and oscillons in networks of spiking neurons
H Schmidt, D Avitabile
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (3), 2020
322020
Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised
W Woldman, H Schmidt, E Abela, FA Chowdhury, AD Pawley, S Jewell, ...
Scientific reports 10 (1), 7043, 2020
282020
Snakes and ladders in an inhomogeneous neural field model
D Avitabile, H Schmidt
Physica D: Nonlinear Phenomena 294, 24-36, 2015
282015
Wave fronts in inhomogeneous neural field models
H Schmidt, A Hutt, L Schimansky-Geier
Physica D: Nonlinear Phenomena 238 (14), 1101-1112, 2009
252009
Mean-field approximations of networks of spiking neurons with short-term synaptic plasticity
R Gast, TR Knösche, H Schmidt
Physical Review E 104 (4), 044310, 2021
202021
Ephaptic coupling in white matter fibre bundles modulates axonal transmission delays
H Schmidt, G Hahn, G Deco, TR Knösche
PLOS Computational Biology 17 (2), e1007858, 2021
182021
On the role of arkypallidal and prototypical neurons for phase transitions in the external pallidum
R Gast, R Gong, H Schmidt, HGE Meijer, TR Knösche
Journal of Neuroscience 41 (31), 6673-6683, 2021
142021
Spots: breathing, drifting and scattering in a neural field model
S Coombes, H Schmidt, D Avitabile
Neural Fields: Theory and Applications, 187-211, 2014
82014
Rate and oscillatory switching dynamics of a multilayer visual microcircuit model
G Hahn, A Kumar, H Schmidt, TR Knösche, G Deco
Elife 11, e77594, 2022
72022
White matter brain structure predicts language performance and learning success
SM Sánchez, H Schmidt, G Gallardo, A Anwander, J Brauer, AD Friederici, ...
Human Brain Mapping 44 (4), 1445-1455, 2023
62023
Snaking behavior of homoclinic solutions in a neural field model
H Schmidt, S Coombes
BMC Neuroscience 10 (Suppl 1), P297, 2009
22009
Modelling the effect of ephaptic coupling on spike propagation in peripheral nerve fibres
H Schmidt, T R. Knösche
Biological Cybernetics 116 (4), 461-473, 2022
12022
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