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Studies in Health Technology and Informatics
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October 3, 2025
Mobile EEG (DreamMachine) and AI in Education: Toward Smarter Classrooms and Better Mental Health
Paria Samimisabet, Gordon Pipa, Karsten Morisse
Frontiers in Computational Neuroscience
|
December 9, 2021
Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision
Hristofor Lukanov, Peter König, Gordon Pipa
Plos Computational Biology
|
August 1, 2025
Continual familiarity decoding from recurrent connections in spiking networks
Viktoria Zemliak, Gordon Pipa, Pascal Nieters
Plos One
|
February 6, 2020
Predicting epileptic seizures using nonnegative matrix factorization
Olivera Stojanović, Levin Kuhlmann, Gordon Pipa
Frontiers in Computational Neuroscience
|
January 10, 2017
Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events
Mina Shahi, Carl van Vreeswijk, Gordon Pipa
Frontiers in Neuroinformatics
|
September 8, 2011
Bivariate and Multivariate NeuroXidence: A Robust and Reliable Method to Detect Modulations of Spike-Spike Synchronization Across Experimental Conditions
Wei Wu, Diek W Wheeler, Gordon Pipa
Neural Computation
|
March 9, 2013
Impact of spike train autostructure on probability distribution of joint spike events
Gordon Pipa, Sonja Grün, Carl van Vreeswijk
Scientific Reports
|
October 15, 2021
A trajectory-based loss function to learn missing terms in bifurcating dynamical systems
Rahel Vortmeyer-Kley, Pascal Nieters, Gordon Pipa
Journal of Computational Neuroscience
|
August 14, 2010
Transfer entropy--a model-free measure of effective connectivity for the neurosciences
Raul Vicente, Michael Wibral, Michael Lindner, et al.
Scientific Reports
|
March 12, 2024
Spike synchrony as a measure of Gestalt structure
Viktoria Zemliak, Julius Mayer, Pascal Nieters, et al.
Page
of 7
Search research articles
Search
Showing results (11-20 of 64) with videos related to
Sort By:
Page
of 7
Studies in Health Technology and Informatics
|
October 3, 2025
Mobile EEG (DreamMachine) and AI in Education: Toward Smarter Classrooms and Better Mental Health
Paria Samimisabet, Gordon Pipa, Karsten Morisse
Frontiers in Computational Neuroscience
|
December 9, 2021
Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision
Hristofor Lukanov, Peter König, Gordon Pipa
Plos Computational Biology
|
August 1, 2025
Continual familiarity decoding from recurrent connections in spiking networks
Viktoria Zemliak, Gordon Pipa, Pascal Nieters
Plos One
|
February 6, 2020
Predicting epileptic seizures using nonnegative matrix factorization
Olivera Stojanović, Levin Kuhlmann, Gordon Pipa
Frontiers in Computational Neuroscience
|
January 10, 2017
Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events
Mina Shahi, Carl van Vreeswijk, Gordon Pipa
Frontiers in Neuroinformatics
|
September 8, 2011
Bivariate and Multivariate NeuroXidence: A Robust and Reliable Method to Detect Modulations of Spike-Spike Synchronization Across Experimental Conditions
Wei Wu, Diek W Wheeler, Gordon Pipa
Neural Computation
|
March 9, 2013
Impact of spike train autostructure on probability distribution of joint spike events
Gordon Pipa, Sonja Grün, Carl van Vreeswijk
Scientific Reports
|
October 15, 2021
A trajectory-based loss function to learn missing terms in bifurcating dynamical systems
Rahel Vortmeyer-Kley, Pascal Nieters, Gordon Pipa
Journal of Computational Neuroscience
|
August 14, 2010
Transfer entropy--a model-free measure of effective connectivity for the neurosciences
Raul Vicente, Michael Wibral, Michael Lindner, et al.
Scientific Reports
|
March 12, 2024
Spike synchrony as a measure of Gestalt structure
Viktoria Zemliak, Julius Mayer, Pascal Nieters, et al.
Page
of 7