Results 81 to 90 of about 40,800 (191)
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces [PDF]
arXiv, 2019 Brain-computer interfaces (BCIs) have enabled prosthetic device control by decoding motor movements from neural activities. Neural signals recorded from cortex exhibit nonstationary property due to abrupt noises and neuroplastic changes in brain activities during motor control.
arxiv
Neuroplasticity and Psychedelics: a comprehensive examination of classic and non-classic compounds in pre and clinical models [PDF]
arXivNeuroplasticity, the ability of the nervous system to adapt throughout an organism's lifespan, offers potential as both a biomarker and treatment target for neuropsychiatric conditions. Psychedelics, a burgeoning category of drugs, are increasingly prominent in psychiatric research, prompting inquiries into their mechanisms of action.
arxiv
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification [PDF]
arXivPrevious research has shown that fine-tuning language models on general tasks enhance their underlying mechanisms. However, the impact of fine-tuning on poisoned data and the resulting changes in these mechanisms are poorly understood. This study investigates the changes in a model's mechanisms during toxic fine-tuning and identifies the primary ...
arxiv
Neuroplastic Expansion in Deep Reinforcement Learning [PDF]
arXivThe loss of plasticity in learning agents, analogous to the solidification of neural pathways in biological brains, significantly impedes learning and adaptation in reinforcement learning due to its non-stationary nature. To address this fundamental challenge, we propose a novel approach, {\it Neuroplastic Expansion} (NE), inspired by cortical ...
arxiv
Advancing Out-of-Distribution Detection via Local Neuroplasticity [PDF]
arXivIn the domain of machine learning, the assumption that training and test data share the same distribution is often violated in real-world scenarios, requiring effective out-of-distribution (OOD) detection. This paper presents a novel OOD detection method that leverages the unique local neuroplasticity property of Kolmogorov-Arnold Networks (KANs ...
arxiv
Effects of pain on cortical homeostatic plasticity in humans: a systematic review
PAIN Reports. Homeostatic plasticity (HP) is a negative feedback mechanism that prevents excessive facilitation or depression of cortical excitability (CE). Cortical HP responses in humans have been investigated by using 2 blocks of noninvasive brain stimulation ...
Daniela M. Zolezzi +3 more
doaj +1 more source
NeuroImage, 2021 It has been argued that age-related changes in the neurochemical and neurophysiological properties of the GABAergic system may underlie increases in reaction time (RT) in older adults.
Stefanie Verstraelen +8 more
doaj
Neuroplasticity in addictive disorders
Dialogues in Clinical Neuroscience, 2009 Compulsive drug-taking behavior develops in vulnerable individuals who ingest substances that activate the reward system. This intense activation produces learned associations to cues that predict drug availability. With repetition the reward system becomes reflexively activated by cues alone, leading to a drive toward drug-taking.
openaire +3 more sources
Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule [PDF]
arXivBackpropagation (BP) has been pivotal in advancing machine learning and remains essential in computational applications and comparative studies of biological and artificial neural networks. Despite its widespread use, the implementation of BP in the brain remains elusive, and its biological plausibility is often questioned due to inherent issues such ...
arxiv
Editorial: Neuroplasticity in Rehabilitation
Frontiers in Rehabilitation Sciences, 2022 Max O. Krucoff +3 more
openaire +3 more sources