Results 61 to 70 of about 4,010,683 (211)

Model-free decision-making underlies motor errors in rapid sequential movements under threat

open access: yesCommunications Psychology
Our movements, especially sequential ones, are usually goal-directed, i.e., coupled with task-level goals. Consequently, cognitive strategies for decision-making and motor performance are likely to influence each other. However, evidence linking decision-
Pranav Sankhe, Masahiko Haruno
doaj   +1 more source

Matrix neural networks

open access: yes, 2017
Traditional neural networks assume vectorial inputs as the network is arranged as layers of single line of computing units called neurons. This special structure requires the non-vectorial inputs such as matrices to be converted into vectors.
Junbin Gao   +5 more
core   +1 more source

Computational inference of neural information flow networks [PDF]

open access: yes, 2006
This research was supported by a Packard Foundation grant and a US National Science Foundation (NSF) Waterman Award to EDJ, an NSF CAREER grant and an Alfred P.
Tom V. Smulders   +20 more
core   +2 more sources

Neural Network Branching for Neural Network Verification

open access: yesCoRR, 2019
Formal verification of neural networks is essential for their deployment in safety-critical areas. Many available formal verification methods have been shown to be instances of a unified Branch and Bound (BaB) formulation. We propose a novel framework for designing an effective branching strategy for BaB.
Jingyue Lu, M. Pawan Kumar
openaire   +3 more sources

On stability and model order reduction of perturbed nonlinear neural networks [PDF]

open access: yes, 2008
In this paper, the qualitative theory of large-scale dynamical systems is surveyed. In particular, the focus is the Hopfield Neural networks both with and without perturbations.
G. G. Grahovski   +3 more
core   +3 more sources

Revolution in flow cytometry: using artificial intelligence for data processing and interpretation [PDF]

open access: yesEuropean Journal of Translational and Clinical Medicine
Flow cytometry (FC) represents a pivotal technique in the domain of biomedical research, facilitating the analysis of the physical and biochemical properties of cells. The advent of artificial intelligence (AI) algorithms has marked a significant turning
Szymon Bierzanowski   +2 more
doaj   +1 more source

Facilitation of Hand Proprioceptive Processing in Paraplegic Individuals with Long-Term Wheelchair Sports Training

open access: yesBrain Sciences, 2022
Previous studies have revealed drastic changes in motor processing in individuals with congenital or acquired limb deficiencies and dysfunction. However, little is known about whether their brains also exhibit characteristic proprioceptive processing ...
Tomoyo Morita, Eiichi Naito
doaj   +1 more source

Medical analysis and diagnosis by neural networks [PDF]

open access: yes, 2010
In its first part, this contribution reviews shortly the application of neural network methods to medical problems and characterizes its advantages and problems in the context of the medical background.
Brause, Rüdiger W.
core  

The use of neural networks for fitting complex kinetic data [PDF]

open access: yes, 1996
Congrès ESCAPE-3: European Symposium on Computer Aided Process Engineering n.3, Graz , Autriche, 1993In this paper the use of neural networks for fitting complex kinetic data is discussed.
Zaldívar, J.M.   +3 more
core   +1 more source

Assessment of olfactory information in the human brain using 7-Tesla functional magnetic resonance imaging

open access: yesNeuroImage, 2021
Olfaction could prove to be an early marker of neurodegenerative diseases, including Alzheimer's and Parkinson's diseases. To use olfaction for disease diagnosis, elucidating the standard olfactory functions in healthy humans is necessary.
Yuka Donoshita   +3 more
doaj   +1 more source

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