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Bio Systems
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March 29, 2011
Efficiency of neural transmission as a function of synaptic noise, threshold, and source characteristics
Bartosz Paprocki, Janusz Szczepanski
Brain Research
|
July 30, 2013
Transmission efficiency in ring, brain inspired neuronal networks. Information and energetic aspects
Bartosz Paprocki, Janusz Szczepanski
Physical Review Letters
|
December 17, 2004
Finite-space Lyapunov exponents and pseudochaos
Ljupco Kocarev, Janusz Szczepanski
International Journal of Neural Systems
|
March 8, 2019
How Far can Neural Correlations Reduce Uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli Processes
Agnieszka Pregowska, Ehud Kaplan, Janusz Szczepanski
BMC Neuroscience
|
May 20, 2015
Mutual information against correlations in binary communication channels
Agnieszka Pregowska, Janusz Szczepanski, Eligiusz Wajnryb
Neuroinformatics
|
January 7, 2026
Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology
|
January 31, 2026
Complexity-based EEG biomarkers for early diagnosis of ADHD
Stanisław Kamiński, Michal Byra, Janusz Szczepanski, et al.
Computer Methods and Programs in Biomedicine
|
September 3, 2019
Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders
Agnieszka Pregowska, Klaudia Proniewska, Peter van Dam, et al.
Biological Cybernetics
|
June 28, 2019
Information processing in the LGN: a comparison of neural codes and cell types
Agnieszka Pregowska, Alex Casti, Ehud Kaplan, et al.
Journal of Sleep Research
|
June 29, 2012
Information content in cortical spike trains during brain state transitions
Maria M Arnold, Janusz Szczepanski, Noelia Montejo, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Bio Systems
|
March 29, 2011
Efficiency of neural transmission as a function of synaptic noise, threshold, and source characteristics
Bartosz Paprocki, Janusz Szczepanski
Brain Research
|
July 30, 2013
Transmission efficiency in ring, brain inspired neuronal networks. Information and energetic aspects
Bartosz Paprocki, Janusz Szczepanski
Physical Review Letters
|
December 17, 2004
Finite-space Lyapunov exponents and pseudochaos
Ljupco Kocarev, Janusz Szczepanski
International Journal of Neural Systems
|
March 8, 2019
How Far can Neural Correlations Reduce Uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli Processes
Agnieszka Pregowska, Ehud Kaplan, Janusz Szczepanski
BMC Neuroscience
|
May 20, 2015
Mutual information against correlations in binary communication channels
Agnieszka Pregowska, Janusz Szczepanski, Eligiusz Wajnryb
Neuroinformatics
|
January 7, 2026
Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology
|
January 31, 2026
Complexity-based EEG biomarkers for early diagnosis of ADHD
Stanisław Kamiński, Michal Byra, Janusz Szczepanski, et al.
Computer Methods and Programs in Biomedicine
|
September 3, 2019
Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders
Agnieszka Pregowska, Klaudia Proniewska, Peter van Dam, et al.
Biological Cybernetics
|
June 28, 2019
Information processing in the LGN: a comparison of neural codes and cell types
Agnieszka Pregowska, Alex Casti, Ehud Kaplan, et al.
Journal of Sleep Research
|
June 29, 2012
Information content in cortical spike trains during brain state transitions
Maria M Arnold, Janusz Szczepanski, Noelia Montejo, et al.
Page
of 1