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P H E Tiesinga

Showing results (1-10 of 9) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 20, 2004
Chaos-induced modulation of reliability boosts output firing rate in downstream cortical areasP H E Tiesinga
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 15, 2002
Precision and reliability of periodically and quasiperiodically driven integrate-and-fire neuronsP H E Tiesinga
Neural Computation|March 10, 2004
Rapid temporal modulation of synchrony by competition in cortical interneuron networksP H E Tiesinga, T J Sejnowski
Neural Computation|June 25, 2002
Attractor reliability reveals deterministic structure in neuronal spike trainsP H E Tiesinga, J-M Fellous, Terrence J Sejnowski
International Journal of Neural Systems|May 13, 2014
Separating burst from background spikes in multichannel neuronal recordings using return map analysisM B Martens, M Chiappalone, D Schubert, et al.
Journal of Neural Engineering|September 18, 2007
An analytical comparison of the information in sorted and non-sorted cosine-tuned spike activityD S Won, P H E Tiesinga, C S Henriquez, et al.
Network (Bristol, England)|March 7, 2002
Information transfer in entrained cortical neuronsP H E Tiesinga, J M Fellous, J V José, et al.
Journal of Neural Engineering|October 15, 2020
When to include ECoG electrode properties in volume conduction modelsM Vermaas, M C Piastra, T F Oostendorp, et al.
Neuroinformatics|April 20, 2020
FEMfuns: A Volume Conduction Modeling Pipeline that Includes Resistive, Capacitive or Dispersive Tissue and ElectrodesM Vermaas, M C Piastra, T F Oostendorp, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 20, 2004
Chaos-induced modulation of reliability boosts output firing rate in downstream cortical areasP H E Tiesinga
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 15, 2002
Precision and reliability of periodically and quasiperiodically driven integrate-and-fire neuronsP H E Tiesinga
Neural Computation|March 10, 2004
Rapid temporal modulation of synchrony by competition in cortical interneuron networksP H E Tiesinga, T J Sejnowski
Neural Computation|June 25, 2002
Attractor reliability reveals deterministic structure in neuronal spike trainsP H E Tiesinga, J-M Fellous, Terrence J Sejnowski
International Journal of Neural Systems|May 13, 2014
Separating burst from background spikes in multichannel neuronal recordings using return map analysisM B Martens, M Chiappalone, D Schubert, et al.
Journal of Neural Engineering|September 18, 2007
An analytical comparison of the information in sorted and non-sorted cosine-tuned spike activityD S Won, P H E Tiesinga, C S Henriquez, et al.
Network (Bristol, England)|March 7, 2002
Information transfer in entrained cortical neuronsP H E Tiesinga, J M Fellous, J V José, et al.
Journal of Neural Engineering|October 15, 2020
When to include ECoG electrode properties in volume conduction modelsM Vermaas, M C Piastra, T F Oostendorp, et al.
Neuroinformatics|April 20, 2020
FEMfuns: A Volume Conduction Modeling Pipeline that Includes Resistive, Capacitive or Dispersive Tissue and ElectrodesM Vermaas, M C Piastra, T F Oostendorp, et al.
Pageof 1