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2020 – today
- 2020
[j15]Samira Abbasi, Selva K. Maran, Dieter Jaeger
:
A general method to generate artificial spike train populations matching recorded neurons. J. Comput. Neurosci. 48(1): 47-63 (2020)
2010 – 2019
- 2017
- [j14]Samira Abbasi, Amber E. Hudson, Selva K. Maran, Ying Cao, Ataollah Abbasi, Detlef H. Heck, Dieter Jaeger:
Robust transmission of rate coding in the inhibitory Purkinje cell to cerebellar nuclei pathway in awake mice. PLoS Comput. Biol. 13(6) (2017) - 2014
- [j13]Garth John Thompson, Wen-Ju Pan, Matthew Evan Magnuson, Dieter Jaeger, Shella D. Keilholz:
Quasi-periodic patterns (QPP): Large-scale dynamics in resting state fMRI that correlate with local infraslow electrical activity. NeuroImage 84: 1018-1031 (2014) - [e1]Dieter Jaeger, Ranu Jung:
Encyclopedia of Computational Neuroscience. Springer 2014, ISBN 978-1-4614-7320-6 [contents] - [r1]Dieter Jaeger:
Globus Pallidus Cellular Models. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j12]Wen-Ju Pan, Garth John Thompson, Matthew Evan Magnuson, Dieter Jaeger, Shella D. Keilholz:
Infraslow LFP correlates to resting-state fMRI BOLD signals. NeuroImage 74: 288-297 (2013) - [j11]Garth John Thompson, Michael Donelyn Merritt, Wen-Ju Pan, Matthew Evan Magnuson, Joshua Koehler Grooms, Dieter Jaeger, Shella D. Keilholz:
Neural correlates of time-varying functional connectivity in the rat. NeuroImage 83: 826-836 (2013) - [j10]Dieter Jaeger, Henrik Jörntell, Mitsuo Kawato:
Computation in the Cerebellum. Neural Networks 47: 1-2 (2013) - [j9]Volker Steuber, Dieter Jaeger:
Modeling the generation of output by the cerebellar nuclei. Neural Networks 47: 112-119 (2013) - 2011
- [j8]Wen-Ju Pan, Garth Thompson, Matthew Magnuson, Waqas Majeed, Dieter Jaeger, Shella D. Keilholz:
Broadband Local Field Potentials Correlate with Spontaneous Fluctuations in Functional Magnetic Resonance Imaging Signals in the Rat Somatosensory Cortex Under Isoflurane Anesthesia. Brain Connect. 1(2): 119-131 (2011) - [j7]Eric B. Hendrickson, Jeremy R. Edgerton, Dieter Jaeger:
The capabilities and limitations of conductance-based compartmental neuron models with reduced branched or unbranched morphologies and active dendrites. J. Comput. Neurosci. 30(2): 301-321 (2011) - [j6]Volker Steuber, Nathan W. Schultheiss, Angus Silver, Erik De Schutter, Dieter Jaeger:
Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. J. Comput. Neurosci. 30(3): 633-658 (2011) - [j5]Eric B. Hendrickson, Jeremy R. Edgerton, Dieter Jaeger:
The use of automated parameter searches to improve ion channel kinetics for neural modeling. J. Comput. Neurosci. 31(2): 329-346 (2011)
2000 – 2009
- 2009
- [j4]Cengiz Günay, Jeremy R. Edgerton, Su Li, Thomas Sangrey, Astrid A. Prinz, Dieter Jaeger:
Database Analysis of Simulated and Recorded Electrophysiological Datasets with PANDORA's Toolbox. Neuroinformatics 7(2): 93-111 (2009) - 2004
- [j3]Volker Steuber, Erik De Schutter, Dieter Jaeger:
Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors. Neurocomputing 58-60: 563-568 (2004) - 2003
- [j2]Dieter Jaeger:
No Parallel Fiber Volleys in the Cerebellar Cortex: Evidence from Cross-Correlation Analysis between Purkinje Cells in a Computer Model and in Recordings from Anesthetized Rats. J. Comput. Neurosci. 14(3): 311-327 (2003) - 2002
- [j1]Fidel Santamaría, Dieter Jaeger, Erik De Schutter, James M. Bower:
Modulatory Effects of Parallel Fiber and Molecular Layer Interneuron Synaptic Activity on Purkinje Cell Responses to Ascending Segment Input: A Modeling Study. J. Comput. Neurosci. 13(3): 217-235 (2002)
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