AIMC Topic: Neuronal Plasticity

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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...
Humans Models, Neurological Action Potentials Neurons Algorithms Deep Learning Neuronal Plasticity
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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...
Action Potentials Neuronal Plasticity Neural Networks, Computer Neurons Models, Neurological Algorithms Synapses
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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...
Action Potentials Neurons Learning Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer 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...
Humans Unsupervised Machine Learning Receptors, N-Methyl-D-Aspartate Memory Disorders Neural Networks, Computer Brain Neuronal Plasticity Mental Recall Nerve Net Brain Concussion
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A Brain-Inspired Framework for Evolutionary Artificial General Intelligence.

IEEE transactions on neural networks and learning systems Nov 30, 2020
From the medical field to agriculture, from energy to transportation, every industry is going through a revolution by embracing artificial intelligence (AI); nevertheless, AI is still in its infancy. Inspired by the evolution of the human brain, this...
Memory Biological Evolution Cognition Neuronal Plasticity Neurons Artificial Intelligence Algorithms Brain Learning Animals Genomics Humans Neural Networks, Computer
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Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network.

Neural networks : the official journal of the International Neural Network Society Nov 27, 2020
This work is aimed to study experimental and theoretical approaches for searching effective local training rules for unsupervised pattern recognition by high-performance memristor-based Spiking Neural Networks (SNNs). First, the possibility of weight...
Models, Neurological Neurons Pattern Recognition, Automated Neural Networks, Computer Algorithms Neuronal Plasticity
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Structural plasticity on an accelerated analog neuromorphic hardware system.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2020
In computational neuroscience, as well as in machine learning, neuromorphic devices promise an accelerated and scalable alternative to neural network simulations. Their neural connectivity and synaptic capacity depend on their specific design choices...
Neurons Synapses Humans Neural Networks, Computer Machine Learning Algorithms Computers Neuronal Plasticity
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Biological batch normalisation: How intrinsic plasticity improves learning in deep neural networks.

PloS one Sep 23, 2020
In this work, we present a local intrinsic rule that we developed, dubbed IP, inspired by the Infomax rule. Like Infomax, this rule works by controlling the gain and bias of a neuron to regulate its rate of fire. We discuss the biological plausibilit...
Learning Synapses Deep Learning Synaptic Transmission Models, Theoretical Neural Networks, Computer Algorithms Action Potentials Computer Simulation Models, Statistical Neuronal Plasticity Neurons Models, Neurological
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Learning probabilistic neural representations with randomly connected circuits.

Proceedings of the National Academy of Sciences of the United States of America Sep 18, 2020
The brain represents and reasons probabilistically about complex stimuli and motor actions using a noisy, spike-based neural code. A key building block for such neural computations, as well as the basis for supervised and unsupervised learning, is th...
Humans Neural Networks, Computer Machine Learning Algorithms Action Potentials Neurons Nerve Net Brain Neuronal Plasticity Models, Neurological
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Synaptic Iontronic Devices for Brain-Mimicking Functions: Fundamentals and Applications.

ACS applied bio materials Sep 2, 2020
Inspired by the information transmission mechanism in the central nervous systems of life, synapse-mimicking devices have been designed and fabricated for the purpose of breaking the bottleneck of von Neumann architecture and realizing the constructi...
Ions Transistors, Electronic Artificial Organs Synapses Neural Networks, Computer Ion Transport Neuronal Plasticity Oxidation-Reduction Biomimetics
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