Results 41 to 50 of about 297,450 (276)

Analyzing Stability of Equilibrium Points in Neural Networks: A General Approach

, 2003
Networks of coupled neural systems represent an important class of models in computational neuroscience. In some applications it is required that equilibrium points in these networks remain stable under parameter variations.
Chen, Yonghong, Ding, Mingzhou, Rangarajan, Govindan, Truccolo, Wilson A.   +3 more
core   +3 more sources

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

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Toward stressor-free stress estimation: The integrated information theory explains the information dynamics of stress

iScience
Summary: Recent neurological studies have revealed several detailed stress mechanisms. However, the latent variables behind stress study still interpret stress responses as difficult.
Takayuki Niizato, Yuta Nishiyama, Yuta Oka, Poe Thinzar Aung, Shusaku Nomura   +4 more
doaj   +1 more source

Visualizing and quantifying movement from pre-recorded videos: The spectral time-lapse (STL) algorithm [v1; ref status: indexed, http://f1000r.es/2qo]

F1000Research, 2014
When studying animal behaviour within an open environment, movement-related data are often important for behavioural analyses. Therefore, simple and efficient techniques are needed to present and analyze the data of such movements.
Christopher R Madan, Marcia L Spetch
doaj   +1 more source

Unexpected complexity of everyday manual behaviors

Nature Communications, 2020
How does the brain control the complex movements of hands? Here, by tracking human hand kinematics and applying multidimensional reduction techniques, the authors provide evidence that grasping involves a complex control system that regulates even the ...
Yuke Yan, James M. Goodman, Dalton D. Moore, Sara A. Solla, Sliman J. Bensmaia   +4 more
doaj   +1 more source

Investigation of sequence processing: A cognitive and computational neuroscience perspective [PDF]

, 2005
Serial order processing or sequence processing underlies many human activities such as speech, language, skill learning, planning, problem-solving, etc.
Ahmed, Ahmed, Bapi, Dr Raju S., Miyapuram, K.P., Pammi, V.S. Chandrasekhar   +3 more
core  

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

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz, Carl D. Langefeld, Mary E. Comeau, Miranda C. Marion, Tyler P. Behymer, Lee A. Gilkerson, Padmini Sekar, Weihong Yuan, Vivek Khandwala, Brady J. Williamson, Thomas Maloney, Achala Vagal, Pierce Boyne, Kari Dunning, Matthew L. Flaherty, Steven J. Kittner, Prachi Mehndiratta, Gunjan Y. Parikh, Michael L. James, David Roh, Fernando D. Testai, Farhaan S. Vahidy, James Thornton, Ranjit Bagga, Daniel Woo, Stacie L. Demel   +25 more
wiley   +1 more source

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