Results 71 to 80 of about 40,800 (191)

Neuroplasticity [PDF]

open access: yesJournal of Communication Disorders, 2000
Grafman, in this issue, discusses four forms of neuroplasticity that may account for development and recovery of functional neural networks in the human brain. These include homologous area adaptation, cross-modal reassignment, map extension, and compensatory masquerade. The following discussion focuses on these forms of neuroplasticity as they pertain
openaire   +3 more sources

MRS-assessed brain GABA modulation in response to task performance and learning

open access: yesBehavioral and Brain Functions
Gamma-aminobutyric acid (GABA), the most important inhibitory neurotransmitter in the human brain, has long been considered essential in human behavior in general and learning in particular.
Hong Li   +6 more
doaj   +1 more source

Brain and Cognitive Reserve: Translation via Network Control Theory [PDF]

open access: yesarXiv, 2016
Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive 'reserve,' associated with better outcomes. However, mechanisms of function and resilience in large-scale brain networks remain poorly understood. Dynamic network theory may provide a basis
arxiv  

Neurodegeneration and contralateral α-synuclein induction after intracerebral α-synuclein injections in the anterior olfactory nucleus of a Parkinson’s disease A53T mouse model

open access: yesActa Neuropathologica Communications, 2019
Parkinson’s disease is characterized by a proteinopathy that includes aggregates of α-synuclein. A recent hypothesis proposes a prion-like spreading mechanism for this α-synucleinopathy.
Alicia Flores-Cuadrado   +4 more
doaj   +1 more source

Neuroplasticity in adult human visual cortex [PDF]

open access: yesarXiv, 2019
Between 1 to 5 out of 100 people worldwide has never experienced normotypic vision due to a condition called amblyopia, and about 1 out of 4000 suffer from inherited retinal dystrophies that progressively lead them to blindness. While a wide range of technologies and therapies are being developed to restore vision, a fundamental question still remains ...
arxiv  

NEUROPLASTICITY AND DYSLEXIA

open access: yes, 2022
How does Brain Plasticity relate to dyslexia? How is it that the brain changes with learning? Plasticity also called Neuroplasticity means describing how experiences reorganize the neural pathways of the brain. Neuroplasticity comprises of numerous different progressions taking place through the journey of life.
openaire   +2 more sources

Increased Excitability and Reduced Excitatory Synaptic Input Into Fast-Spiking CA2 Interneurons After Enzymatic Attenuation of Extracellular Matrix

open access: yesFrontiers in Cellular Neuroscience, 2018
The neural extracellular matrix (ECM) is enriched with hyaluronic acid, chondroitin sulfate proteoglycans (CSPGs) and the glycoprotein tenascin-R, which play important roles in synaptic plasticity, as shown by studies of the CA1 region of the hippocampus.
Hussam Hayani   +4 more
doaj   +1 more source

Lifelong Learning Starting From Zero [PDF]

open access: yesarXiv, 2019
We present a deep neural-network model for lifelong learning inspired by several forms of neuroplasticity. The neural network develops continuously in response to signals from the environment. In the beginning, the network is a blank slate with no nodes at all.
arxiv  

Age-Dependent Modulations of Resting State Connectivity Following Motor Practice

open access: yesFrontiers in Aging Neuroscience, 2018
Recent work in young adults has demonstrated that motor learning can modulate resting state functional connectivity. However, evidence for older adults is scarce.
Elena Solesio-Jofre   +10 more
doaj   +1 more source

Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning [PDF]

open access: yesarXiv
Artificial Intelligence (AI) has achieved new levels of performance and spread in public usage with the rise of deep neural networks (DNNs). Initially inspired by human neurons and their connections, NNs have become the foundation of AI models for many advanced architectures. However, some of the most integral processes in the human brain, particularly
arxiv  

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