AIMC Topic: Neuronal Plasticity

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Meta-learning biologically plausible plasticity rules with random feedback pathways.

Nature communications Mar 31, 2023
Backpropagation is widely used to train artificial neural networks, but its relationship to synaptic plasticity in the brain is unknown. Some biological models of backpropagation rely on feedback projections that are symmetric with feedforward connec...
Neural Networks, Computer Brain Neuronal Plasticity Models, Neurological Feedback Learning
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Forgetting memristor based STDP learning circuit for neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 19, 2022
The circuit implementation of STDP based on memristor is of great significance for the application of neural network. However, recent research shows that the research on the pure circuit implementation of forgetting memristor and STDP is still rare. ...
Synapses Learning Memory, Short-Term Neural Networks, Computer Neuronal Plasticity
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Complementary Memtransistor-Based Multilayer Neural Networks for Online Supervised Learning Through (Anti-)Spike-Timing-Dependent Plasticity.

IEEE transactions on neural networks and learning systems Oct 27, 2022
We propose a complete hardware-based architecture of multilayer neural networks (MNNs), including electronic synapses, neurons, and periphery circuitry to implement supervised learning (SL) algorithm of extended remote supervised method (ReSuMe). In ...
Neuronal Plasticity Models, Neurological Neural Networks, Computer Synapses Supervised Machine Learning
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TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity.

IEEE transactions on biomedical circuits and systems Oct 12, 2022
Human brain cortex acts as a rich inspiration source for constructing efficient artificial cognitive systems. In this paper, we investigate to incorporate multiple brain-inspired computing paradigms for compact, fast and high-accuracy neuromorphic ha...
Neurons Computers Neuronal Plasticity Algorithms Humans Neural Networks, Computer
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Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development.

IEEE transactions on neural networks and learning systems Oct 5, 2022
Spike-timing-dependent plasticity (STDP) is one of the most popular and deeply biologically motivated forms of unsupervised Hebbian-type learning. In this article, we propose a variant of STDP extended by an additional activation-dependent scale fact...
Neural Networks, Computer Learning Neurons Models, Neurological Neuronal Plasticity
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Computational Modeling of Structural Synaptic Plasticity in Echo State Networks.

IEEE transactions on cybernetics Sep 19, 2022
Most existing studies on computational modeling of neural plasticity have focused on synaptic plasticity. However, regulation of the internal weights in the reservoir based on synaptic plasticity often results in unstable learning dynamics. In this a...
Neuronal Plasticity Computer Simulation Nonlinear Dynamics Neurons Neural Networks, Computer
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Continuous learning of spiking networks trained with local rules.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2022
Artificial neural networks (ANNs) experience catastrophic forgetting (CF) during sequential learning. In contrast, the brain can learn continuously without any signs of catastrophic forgetting. Spiking neural networks (SNNs) are the next generation o...
Education, Continuing Synapses Neural Networks, Computer Neuronal Plasticity Brain
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Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation.

IEEE transactions on neural networks and learning systems Aug 31, 2022
Enabling a neural network to sequentially learn multiple tasks is of great significance for expanding the applicability of neural networks in real-world applications. However, artificial neural networks face the well-known problem of catastrophic for...
Neural Networks, Computer Brain Machine Learning Mammals Animals Neuronal Plasticity Learning
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Multi-Stimuli-Responsive Synapse Based on Vertical van der Waals Heterostructures.

ACS applied materials & interfaces Jul 26, 2022
Brain-inspired intelligent systems demand diverse neuromorphic devices beyond simple functionalities. Merging biomimetic sensing with weight-updating capabilities in artificial synaptic devices represents one of the key research focuses. Here, we rep...
Biomimetics Synapses Neural Networks, Computer Neuronal Plasticity Learning
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Contributions by metaplasticity to solving the Catastrophic Forgetting Problem.

Trends in neurosciences Jul 4, 2022
Catastrophic forgetting (CF) refers to the sudden and severe loss of prior information in learning systems when acquiring new information. CF has been an Achilles heel of standard artificial neural networks (ANNs) when learning multiple tasks sequent...
Brain Humans Learning Neurobiology Neural Networks, Computer Neuronal Plasticity
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