AIMC Topic: Neuronal Plasticity

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Impaired dendritic inhibition leads to epileptic activity in a computer model of CA3.

Hippocampus Apr 22, 2015
Temporal lobe epilepsy (TLE) is a common type of epilepsy with hippocampus as the usual site of origin. The CA3 subfield of hippocampus is reported to have a low epileptic threshold and hence initiates the disorder in patients with TLE. This study co...
Neural Inhibition Pyramidal Cells Dendrites Humans Neuronal Plasticity Neural Networks, Computer Epilepsy, Temporal Lobe CA3 Region, Hippocampal
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Experimental demonstration of a second-order memristor and its ability to biorealistically implement synaptic plasticity.

Nano letters Mar 2, 2015
Memristors have been extensively studied for data storage and low-power computation applications. In this study, we show that memristors offer more than simple resistance change. Specifically, the dynamic evolutions of internal state variables allow ...
Equipment Design Electric Impedance Biomimetic Materials Equipment Failure Analysis Computer Storage Devices Nerve Net Memory Computer-Aided Design Neuronal Plasticity Action Potentials Humans Neural Networks, Computer Animals Synaptic Transmission
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Short-term plasticity based network model of place cells dynamics.

Hippocampus Sep 25, 2014
Rodent hippocampus exhibits strikingly different regimes of population activity in different behavioral states. During locomotion, hippocampal activity oscillates at theta frequency (5-12 Hz) and cells fire at specific locations in the environment, t...
Hippocampus Animals Nerve Net Neuronal Plasticity Neural Networks, Computer Spatial Memory
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Self-organization of a recurrent network under ongoing synaptic plasticity.

Neural networks : the official journal of the International Neural Network Society Jun 5, 2014
We investigated the organization of a recurrent network under ongoing synaptic plasticity using a model of neural oscillators coupled by dynamic synapses. In this model, the coupling weights changed dynamically, depending on the timing between the os...
Humans Neural Networks, Computer Algorithms Neurons Neuronal Plasticity Fourier Analysis Synapses Models, Neurological Neural Conduction Action Potentials
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Unravelling the brain resilience following stroke: From injury to rewiring of the brain through pathway activation, drug targets, and therapeutic interventions.

Ageing research reviews Jul 1, 2025
Synaptic plasticity is a neuron's intrinsic ability to make new connections throughout life. The morphology and function of synapses are highly susceptible to any pathological condition. Ischemic stroke is a cerebrovascular event that affects various...
Humans Brain Stroke Synapses Neuroglia Glutamic Acid Animals Signal Transduction Neuronal Plasticity
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STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks.

IEEE transactions on neural networks and learning systems Jun 1, 2025
Spiking neural networks (SNNs) are biologically plausible models known for their computational efficiency. A significant advantage of SNNs lies in the binary information transmission through spike trains, eliminating the need for multiplication opera...
Action Potentials Neurons Time Factors Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer Machine Learning Feedback Algorithms Animals Computer Simulation
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Enhanced neuroplasticity and gait recovery in stroke patients: a comparative analysis of active and passive robotic training modes.

BMC neurology May 31, 2025
BACKGROUND: Stroke is a leading cause of long-term disability, with lower limb dysfunction being a common sequela that significantly impacts patients' mobility and quality of life. Robotic-assisted training has emerged as a promising intervention for...
Female Aged Adult Humans Treatment Outcome Neuronal Plasticity Recovery of Function Robotics Male Middle Aged Spectroscopy, Near-Infrared Stroke Rehabilitation Evoked Potentials, Motor Gait Disorders, Neurologic Stroke Gait Exercise Therapy
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Artificial Axon with Dendritic-like Plasticity by Biomimetic Interface Engineering of Anisotropic Two-Dimensional Tellurium.

Nano letters May 28, 2025
Spiking neural network (SNN) hardware relies on implicit assumptions that prioritize dendritic/synaptic learning above axon/synaptic concerns, compromising performances in signal capacity, accuracy, and compactness of SNN systems. Herein, we develop ...
Dendrites Anisotropy Neural Networks, Computer Neuronal Plasticity Axons Biomimetic Materials Tellurium Biomimetics
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Metaplasticity and continual learning: mechanisms subserving brain computer interface proficiency.

Journal of neural engineering May 23, 2025
Brain computer interfaces (BCIs) require substantial cognitive flexibility to optimize control performance. Remarkably, learning this control is rapid, suggesting it might be mediated by neuroplasticity mechanisms operating on very short time scales....
Mice, Inbred C57BL Mice Optogenetics Learning Neuronal Plasticity Brain-Computer Interfaces Animals Models, Neurological Mice, Transgenic Male
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Unsupervised post-training learning in spiking neural networks.

Scientific reports May 21, 2025
The human brain is a dynamic system that is constantly learning. It employs a combination of various learning strategies to facilitate complex learning processes. However, implementing biological learning mechanisms into Spiking Neural Networks (SNNs...
Nerve Net Unsupervised Machine Learning Neurons Synapses Neuronal Plasticity Brain Models, Neurological Learning Action Potentials Humans Neural Networks, Computer
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