Results 51 to 60 of about 295,128 (157)

Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem [PDF]

, 2010
Poster Presentation from Nineteenth Annual Computational Neuroscience Meeting: CNS*2010 San Antonio, TX, USA. 24-30 July 2010 Statistical models of neural activity are at the core of the field of modern computational neuroscience.
Gerhard, Felipe, Haslinger, Robert, Pipa, Gordon   +2 more
core   +2 more sources

Decoding the ERD/ERS: influence of afferent input induced by a leg assistive robot

Frontiers in Systems Neuroscience, 2014
This paper investigates the influence of the leg afferent input, induced by a leg assistive robot, on the decoding performance of a BMI system. Specifically, it focuses on a decoder based on the event-related (de)synchronization (ERD/ERS) of the ...
Giuseppe eLisi, Giuseppe eLisi, Tomoyuki eNoda, Jun eMorimoto   +3 more
doaj   +1 more source

Correlation transmission of spiking neurons is boosted by synchronous input : From Twentieth Annual Computational Neuroscience Meeting: CNS*2011 Stockholm, Sweden. 23-28 July 2011 [PDF]

, 2011
Published by BioMed Central Schultze-Kraft, Matthias ; Diesmann, Markus ; Grün, Sonja ; Helias, Moritz : Correlation transmission of spiking neurons is boosted by synchronous input : From Twentieth Annual Computational Neuroscience Meeting: CNS*2011 ...
Diesmann, Markus, Grün, Sonja, Helias, Moritz, Schultze-Kraft, Matthias   +3 more
core   +1 more source

Towards Explainable Deep Learning in Computational Neuroscience: Visual and Clinical Applications

Mathematics
Deep learning has emerged as a powerful tool in computational neuroscience, enabling the modeling of complex neural processes and supporting data-driven insights into brain function. However, the non-transparent nature of many deep learning models limits
Asif Mehmood, Faisal Mehmood, Jungsuk Kim   +2 more
doaj   +1 more source

Equilibrium and response properties of the integrate-and-fire neuron in discrete time

Frontiers in Computational Neuroscience, 2010
The integrate-and-fire neuron with exponential postsynaptic potentials is a frequently employed model to study neural networks. Simulations in discrete time still have highest performance at moderate numerical errors, which makes them first choice for ...
Moritz Helias, Moritz Helias, Moritz Deger, Moritz Deger, Markus Diesmann, Markus Diesmann, Markus Diesmann, Stefan Rotter, Stefan Rotter   +8 more
doaj   +1 more source

On directed information theory and Granger causality graphs

, 2010
Directed information theory deals with communication channels with feedback. When applied to networks, a natural extension based on causal conditioning is needed.
A Kaiser, A Kraskov, AK Seth, AK Seth, CWJ Granger, CWJ Granger, D Brillinger, EL Lehmann, F Bach, H Marko, J Beirlant, J Cover, J Geweke, J Pearl, J Rissanen, J Whittaker, JD Victor, K Hlavackova-Schindlera, L Barnett, L Paninski, LF Kozachenko, M Eichler, M Eichler, M Kaminski, M Lungarella, M Palus, MS Pinsker, NN Leonenko, O Sporns, OJJ Michel, Olivier J. J. Michel, Pierre-Olivier Amblard, Q Wang, R Dahlaus, R Dahlaus, R Dahlaus, R Venkataramanan, RM Gray, RM Gray, S Achard, S Frenzel, S Lauritzen, S Tatikonda, T Schreiber, Y Saito   +44 more
core   +3 more sources

COMPUTATIONAL NEUROSCIENCE FOR ADVANCING ARTIFICIAL INTELLIGENCE

Cuadernos de Neuropsicología, 2011
resumen del libro de Alonso, E. y Mondragón, E. (2011). Hershey, NY: Medical Information Science Reference. La neurociencia como disciplinapersigue el entendimiento del cerebro y su relación con el funcionamiento de la mente a través del análisis de la ...
Fernando P. Ponce
doaj   +2 more sources

Looking for effects of qualia on event-related brain potentials of close others in search for a cause of the similarity of qualia assumed across individuals [version 3; referees: 2 approved]

F1000Research, 2018
Qualia, the individual instances of subjective conscious experience, are private events. However, in everyday life, we assume qualia of others and their perceptual worlds, to be similar to ours.
Sheila Bouten, Hugo Pantecouteau, J. Bruno Debruille   +2 more
doaj   +1 more source

Reproducing asymmetrical spine shape fluctuations in a model of actin dynamics predicts self-organized criticality

Scientific Reports, 2021
Dendritic spines change their size and shape spontaneously, but the function of this remains unclear. Here, we address this in a biophysical model of spine fluctuations, which reproduces experimentally measured spine fluctuations.
Mayte Bonilla-Quintana, Florentin Wörgötter, Elisa D’Este, Christian Tetzlaff, Michael Fauth   +4 more
doaj   +1 more source

The case for emulating insect brains using anatomical "wiring diagrams" equipped with biophysical models of neuronal activity

, 2018
Developing whole-brain emulation (WBE) technology would provide immense benefits across neuroscience, biomedicine, artificial intelligence, and robotics.
Collins, Logan Thrasher
core   +1 more source