Results 61 to 70 of about 2,193,097 (217)

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

Brain 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

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

Communications 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

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

European 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, Szymon Bierzanowski, Krzysztof Pietruczuk   +2 more
doaj   +1 more source

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

NeuroImage, 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, Uk-Su Choi, Hiroshi Ban, Ikuhiro Kida   +3 more
doaj   +1 more source

A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines

, 2017
Information in neural networks is represented as weighted connections, or synapses, between neurons. This poses a problem as the primary computational bottleneck for neural networks is the vector-matrix multiply when inputs are multiplied by the neural ...
Aimone, James B., Carlson, Kristofor D., Donaldson, Jonathon, Follett, David R., Follett, Pamela L., Hill, Aaron J., James, Conrad D., Naegle, John H., Smith, Michael R., Vineyard, Craig M.   +9 more
core   +1 more source

Reinforcement Learning using Augmented Neural Networks

, 2018
Neural networks allow Q-learning reinforcement learning agents such as deep Q-networks (DQN) to approximate complex mappings from state spaces to value functions.
Grzes, Marek, Shannon, Jack
core   +1 more source

Mathematical Neural Networks [PDF]

Axioms, 2022
ANNs succeed in several tasks for real scenarios due to their high learning abilities. This paper focuses on theoretical aspects of ANNs to enhance the capacity of implementing those modifications that make ANNs absorb the defining features of each scenario.
openaire   +3 more sources

MRI radiomic features of peritumoral edema may predict the recurrence sites of glioblastoma multiforme

Frontiers in Oncology, 2023
Background and purposeAs one of the most aggressive malignant tumor in the central nervous system, the main cause of poor outcome of glioblastoma (GBM) is recurrence, a non-invasive method which can predict the area of recurrence pre-operation is ...
Hao Long, Hao Long, Ping Zhang, Yuewei Bi, Yuewei Bi, Chen Yang, Chen Yang, Manfeng Wu, Manfeng Wu, Dian He, Dian He, Shaozhuo Huang, Shaozhuo Huang, Kaijun Yang, Kaijun Yang, Songtao Qi, Songtao Qi, Jun Wang, Jun Wang, Jun Wang   +19 more
doaj   +1 more source

Stability of a neural network model with small-world connections

, 2004
Small-world networks are highly clustered networks with small distances among the nodes. There are many biological neural networks that present this kind of connections.
C. Aguirre, C. F. Moukarzel, C. W. Wu, Chunguang Li, D. J. Watts, Guanrong Chen, H. Hong, J. G. White, L. F. Lago-Fernández, M. Barahona, M. E. J. Newman, M. E. J. Newman, M. Joy, P. M. Gade, X. F. Wang, X. Liao   +15 more
core   +1 more source

Priming Neural Networks

, 2017
Visual priming is known to affect the human visual system to allow detection of scene elements, even those that may have been near unnoticeable before, such as the presence of camouflaged animals.
Biparva, Mahdi, Rosenfeld, Amir, Tsotsos, John K.   +2 more
core   +1 more source