Results 61 to 70 of about 295,128 (157)

Computational neurorehabilitation: modeling plasticity and learning to predict recovery [PDF]

, 2016
Despite progress in using computational approaches to inform medicine and neuroscience in the last 30 years, there have been few attempts to model the mechanisms underlying sensorimotor rehabilitation.
Burdet, E, Casadio, M, Krakauer, JW, Kwakkel, G, Lang, CE, Reinkensmeyer, DJ, Schweighofer, N, Swinnen, SP, Ward, NS   +8 more
core   +5 more sources

Computational and Mathematical Methods for Neuroscience

Applied Sciences
As our understanding of the brain continues to advance, so too does the demand for sophisticated tools that can model, simulate, and interpret the intricate data generated by contemporary neuroimaging and electrophysiological techniques [...]
Alexander N. Pisarchik
doaj   +1 more source

Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures

Frontiers in Neuroinformatics, 2018
The possibility to replicate and reproduce published research results is one of the biggest challenges in all areas of science. In computational neuroscience, there are thousands of models available.
Tiina Manninen, Tiina Manninen, Jugoslava Aćimović, Jugoslava Aćimović, Riikka Havela, Riikka Havela, Heidi Teppola, Heidi Teppola, Marja-Leena Linne, Marja-Leena Linne   +9 more
doaj   +1 more source

Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives [PDF]

, 2013
In this paper we review the works related to muscle synergies that have been carried-out in neuroscience and control engineering. In particular, we refer to the hypothesis that the central nervous system (CNS) generates desired muscle contractions by ...
Bastien eBerret, Cristiano eAlessandro, Francesco eNori, Ioannis eDelis, Ioannis eDelis, Ioannis eDelis, Stefano ePanzeri, Stefano ePanzeri   +7 more
core   +4 more sources

Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics [PDF]

, 2012
We introduce a dynamic neural algorithm called Dynamic Neural (DN) SARSA(\lambda) for learning a behavioral sequence from delayed reward. DN-SARSA(\lambda) combines Dynamic Field Theory models of behavioral sequence representation, classical ...
Kazerounian, Sohrob, Luciw, Matthew, Richter, Mathis, Sandamirskaya, Yulia   +3 more
core   +1 more source

Why are computational neuroscience and systems biology so separate? [PDF]

PLoS Computational Biology, 2008
Despite similar computational approaches, there is surprisingly little interaction between the computational neuroscience and the systems biology research communities. In this review I reconstruct the history of the two disciplines and show that this may
Erik De Schutter
doaj   +1 more source

Sensory dynamics transformation into effective motor behavior [PDF]

, 2013
s from Twenty Second Annual Computational Neuroscience Meeting: CNS*2013 Paris, France.
Latorre, Roberto, Levi, Rafael, Varona, Pablo   +2 more
core   +2 more sources

Salience Models: A Computational Cognitive Neuroscience Review

Vision, 2019
The seminal model by Laurent Itti and Cristoph Koch demonstrated that we can compute the entire flow of visual processing from input to resulting fixations. Despite many replications and follow-ups, few have matched the impact of the original model—
Sofia Krasovskaya, W. Joseph MacInnes
doaj   +1 more source

Towards dynamical network biomarkers in neuromodulation of episodic migraine [PDF]

, 2013
Computational methods have complemented experimental and clinical neursciences and led to improvements in our understanding of the nervous systems in health and disease. In parallel, neuromodulation in form of electric and magnetic stimulation is gaining
Aihara, Kazuyuki, Dahlem, Markus A., Fujiwara, Naoya, Hirata, Yoshito, Kurths, Jürgen, May, Arne, Rode, Sebastian   +6 more
core   +2 more sources

On computational and behavioral evidence regarding Hebbian transcortical cell assemblies. [PDF]

, 2002
Pulvermuller restricts himself to an unnecessarily narrow range of evidence to support his claims. Evidence from neural modeling and behavioral experiments provides further support for an account of words encoded as transcortical cell assemblies.
Andrews, MW, Richardson, DC, Spivey, MJ
core   +1 more source