AIMC Topic: Neuronal Plasticity

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Artificial Neuron and Synapse Devices Based on 2D Materials.

Small (Weinheim an der Bergstrasse, Germany) Apr 4, 2021
Neuromorphic systems, which emulate neural functionalities of a human brain, are considered to be an attractive next-generation computing approach, with advantages of high energy efficiency and fast computing speed. After these neuromorphic systems a...
Neural Networks, Computer Neuronal Plasticity Neurons Synapses
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Differential mapping spiking neural network for sensor-based robot control.

Bioinspiration & biomimetics Apr 2, 2021
In this work, a spiking neural network (SNN) is proposed for approximating differential sensorimotor maps of robotic systems. The computed model is used as a local Jacobian-like projection that relates changes in sensor space to changes in motor spac...
Neuronal Plasticity Robotics Neurons Neural Networks, Computer Learning
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Motor Recovery: How Rehabilitation Techniques and Technologies Can Enhance Recovery and Neuroplasticity.

Seminars in neurology Mar 4, 2021
There are now a large number of technological and methodological approaches to the rehabilitation of motor function after stroke. It is important to employ these approaches in a manner that is tailored to specific patient impairments and desired func...
Stroke Stroke Rehabilitation Humans Recovery of Function Neuronal Plasticity Robotics
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Automation of training and testing motor and related tasks in pre-clinical behavioural and rehabilitative neuroscience.

Experimental neurology Feb 15, 2021
Testing and training animals in motor and related tasks is a cornerstone of pre-clinical behavioural and rehabilitative neuroscience. Yet manually testing and training animals in these tasks is time consuming and analyses are often subjective. Conseq...
Automation Behavior, Animal Neurological Rehabilitation Motor Skills Neuronal Plasticity Humans Recovery of Function Psychomotor Performance Machine Learning Animals
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Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.

PLoS computational biology Feb 10, 2021
The dynamics of cerebellar neuronal networks is controlled by the underlying building blocks of neurons and synapses between them. For which, the computation of Purkinje cells (PCs), the only output cells of the cerebellar cortex, is implemented thro...
Animals Signal Transduction Neuronal Plasticity Neural Networks, Computer Computer Simulation Cerebellum Synapses Neural Pathways Action Potentials Neurons Models, Neurological Humans Cerebellar Cortex Interneurons Purkinje Cells Normal Distribution Excitatory Postsynaptic Potentials Synaptic Transmission
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A computational framework for optimal control of a self-adjustive neural system with activity-dependent and homeostatic plasticity.

NeuroImage Jan 30, 2021
The control of the brain system has received increasing attention in the domain of brain science. Most brain control studies have been conducted to explore the brain network's graph-theoretic properties or to produce the desired state based on neural...
Neural Networks, Computer Animals Neuronal Plasticity Models, Neurological Mice Mice, Transgenic Hippocampus Homeostasis
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Constraints on Hebbian and STDP learned weights of a spiking neuron.

Neural networks : the official journal of the International Neural Network Society Jan 2, 2021
We analyse mathematically the constraints on weights resulting from Hebbian and STDP learning rules applied to a spiking neuron with weight normalisation. In the case of pure Hebbian learning, we find that the normalised weights equal the promotion p...
Neuronal Plasticity Models, Neurological Deep Learning Neurons Humans Algorithms Action Potentials
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Noise suppression ability and its mechanism analysis of scale-free spiking neural network under white Gaussian noise.

PloS one Dec 31, 2020
With the continuous improvement of automation and informatization, the electromagnetic environment has become increasingly complex. Traditional protection methods for electronic systems are facing with serious challenges. Biological nervous system ha...
Neurons Neuronal Plasticity Models, Neurological Neural Networks, Computer Synapses Action Potentials Algorithms
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A Novel Neural Model With Lateral Interaction for Learning Tasks.

Neural computation Nov 30, 2020
We propose a novel neural model with lateral interaction for learning tasks. The model consists of two functional fields: an elementary field to extract features and a high-level field to store and recognize patterns. Each field is composed of some n...
Models, Neurological Learning Action Potentials Neural Networks, Computer Humans Neuronal Plasticity Neurons Algorithms
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NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall.

Neural computation Nov 30, 2020
Mild traumatic brain injury (mTBI) presents a significant health concern with potential persisting deficits that can last decades. Although a growing body of literature improves our understanding of the brain network response and corresponding underl...
Nerve Net Brain Concussion Mental Recall Receptors, N-Methyl-D-Aspartate Memory Disorders Brain Neuronal Plasticity Unsupervised Machine Learning Humans Neural Networks, Computer
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