Results 61 to 70 of about 297,450 (276)

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

Hardware-accelerated interactive data visualization for neuroscience in Python. [PDF]

, 2013
Large datasets are becoming more and more common in science, particularly in neuroscience where experimental techniques are rapidly evolving. Obtaining interpretable results from raw data can sometimes be done automatically; however, there are numerous ...
Harris, KD, Rossant, C
core   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

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

Automated image computing reshapes computational neuroscience [PDF]

BMC Bioinformatics, 2013
We briefly identify several critical issues in current computational neuroscience, and present our opinions on potential solutions based on bioimage informatics, especially automated image computing.
Peng, Hanchuan, Roysam, Badrinath, Ascoli, Giorgio A   +2 more
openaire   +2 more sources

Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann, Theresa Lüth, Susen Schaake, Carolin Gabbert, Marius Möller, Hauke Busch, Katja Lohmann, Jonas A. Gustafson, Danny E. Miller, Kensuke Daida, Manabu Funayama, Nobutaka Hattori, Samia Ben Sassi, Faycel Hentati, Matthew J. Farrer, Kristian K. Ullrich, Christine Klein, Joanne Trinh   +17 more
wiley   +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

A Prospective Study of Individuals at Risk of Multiple Sclerosis Informs the Design of Primary Prevention Studies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge.
Amy W. Laitinen, Ceren Tozlu, Tina Roostaei, Fatoumata Diallo, Kaho Onomichi, Jiyeon Son, Zongqi Xia, Philip L. De Jager   +7 more
wiley   +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

Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz, Christopher H. Thompson, Linda C. Laux, Alfred L. George Jr.   +3 more
wiley   +1 more source