AIMC Topic: Neuronal Plasticity

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Neural mechanisms of relational learning and fast knowledge reassembly in plastic neural networks.

Nature neuroscience Jan 15, 2025
Humans and animals have a striking ability to learn relationships between items in experience (such as stimuli, objects and events), enabling structured generalization and rapid assimilation of new information. A fundamental type of such relational l...
Humans Neural Networks, Computer Models, Neurological Neurons Nerve Net Knowledge Learning Animals Neuronal Plasticity
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Intrinsic plasticity coding improved spiking actor network for reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Dec 19, 2024
Deep reinforcement learning (DRL) exploits the powerful representational capabilities of deep neural networks (DNNs) and has achieved significant success. However, compared to DNNs, spiking neural networks (SNNs), which operate on binary signals, mor...
Humans Reinforcement, Psychology Neural Networks, Computer Computer Simulation Models, Neurological Deep Learning Action Potentials Neuronal Plasticity Neurons
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Metaplasticity-Enabled Graphene Quantum Dot Devices for Mitigating Catastrophic Forgetting in Artificial Neural Networks.

Advanced materials (Deerfield Beach, Fla.) Dec 8, 2024
The limitations of deep neural networks in continuous learning stem from oversimplifying the complexities of biological neural circuits, often neglecting the dynamic balance between memory stability and learning plasticity. In this study, artificial ...
Quantum Dots Graphite Neural Networks, Computer Deep Learning Neuronal Plasticity
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Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP.

Neural networks : the official journal of the International Neural Network Society Dec 7, 2024
Cortical networks are capable of unsupervised learning and spontaneous replay of complex temporal sequences. Endowing artificial spiking neural networks with similar learning abilities remains a challenge. In particular, it is unresolved how differen...
Learning Neuronal Plasticity Models, Neurological gamma-Aminobutyric Acid Stochastic Processes Action Potentials Humans Neurons Neural Networks, Computer
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Effectiveness of unilateral lower-limb exoskeleton robot on balance and gait recovery and neuroplasticity in patients with subacute stroke: a randomized controlled trial.

Journal of neuroengineering and rehabilitation Dec 5, 2024
BACKGROUND: Impaired balance and gait in stroke survivors are associated with decreased functional independence. This study aimed to evaluate the effectiveness of unilateral lower-limb exoskeleton robot-assisted overground gait training compared with...
Robotics Postural Balance Single-Blind Method Neuronal Plasticity Lower Extremity Recovery of Function Stroke Rehabilitation Gait Disorders, Neurologic Stroke Gait Exoskeleton Device Female Aged Adult Male Middle Aged Treatment Outcome Humans
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Comparing effects of wearable robot-assisted gait training on functional changes and neuroplasticity: A preliminary study.

PloS one Dec 5, 2024
Robot-assisted gait training (RAGT) is a promising technique for improving the gait ability of elderly adults and patients with gait disorders by enabling high-intensive and task-specific training. Gait functions involve multiple brain regions and ne...
Magnetic Resonance Imaging Walking Male Neuronal Plasticity Humans Robotics Wearable Electronic Devices Gait Female Cognition Exoskeleton Device Adult
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Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Dec 4, 2024
Developmental plasticity plays a prominent role in shaping the brain's structure during ongoing learning in response to dynamically changing environments. However, the existing network compression methods for deep artificial neural networks (ANNs) an...
Humans Neural Networks, Computer Action Potentials Neurons Deep Learning Algorithms Neuronal Plasticity Brain Models, Neurological Animals
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Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity.

IEEE transactions on neural networks and learning systems Dec 2, 2024
Spiking neural networks (SNNs) have captivated the attention worldwide owing to their compelling advantages in low power consumption, high biological plausibility, and strong robustness. However, the intrinsic latency associated with SNNs during infe...
Neurons Neuronal Plasticity Models, Neurological Action Potentials Humans Neural Networks, Computer Algorithms Animals
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Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Current vision-inspired spiking neural networks (SNNs) face key challenges due to their model structures typically focusing on single mechanisms and neglecting the integration of multiple biological features. These limitations, coupled with limited s...
Neuronal Plasticity Models, Neurological Action Potentials Humans Neural Networks, Computer Visual Perception Learning Pattern Recognition, Visual Retina Neurons Synapses
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Self-Lateral Propagation Elevates Synaptic Modifications in Spiking Neural Networks for the Efficient Spatial and Temporal Classification.

IEEE transactions on neural networks and learning systems Oct 29, 2024
The brain's mystery for efficient and intelligent computation hides in the neuronal encoding, functional circuits, and plasticity principles in natural neural networks. However, many plasticity principles have not been fully incorporated into artific...
Nerve Net Action Potentials Neurons Synapses Algorithms Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer
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