AIMC Topic: Neuronal Plasticity

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Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses.

Neural computation Oct 15, 2019
Though succeeding in solving various learning tasks, most existing reinforcement learning (RL) models have failed to take into account the complexity of synaptic plasticity in the neural system. Models implementing reinforcement learning with spiking...
Neural Networks, Computer Synapses Synaptic Transmission Reinforcement, Psychology Models, Neurological Action Potentials Neurons Computer Simulation Neuronal Plasticity
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A review of learning in biologically plausible spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 11, 2019
Artificial neural networks have been used as a powerful processing tool in various areas such as pattern recognition, control, robotics, and bioinformatics. Their wide applicability has encouraged researchers to improve artificial neural networks by ...
Neural Networks, Computer Algorithms Brain Humans Action Potentials Neurons Learning Neuronal Plasticity Models, Neurological
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Adaptive Neural Sliding-Mode Controller for Alternative Control Strategies in Lower Limb Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 9, 2019
Research on control strategies for rehabilitation robots has gradually shifted from providing therapies with fixed, relatively stiff assistance to compelling alternatives with assistance or challenge strategies to maximize subject participation. Thes...
Robotics Humans Upper Extremity Healthy Volunteers Equipment Design Algorithms Accidental Falls Adaptation, Physiological Physical Fitness Torque Young Adult Neuronal Plasticity Locomotion Rehabilitation Lower Extremity
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Stable memory with unstable synapses.

Nature communications Sep 30, 2019
What is the physiological basis of long-term memory? The prevailing view in Neuroscience attributes changes in synaptic efficacy to memory acquisition, implying that stable memories correspond to stable connectivity patterns. However, an increasing b...
Nerve Net Memory Memory, Long-Term Synapses Homeostasis Computer Simulation Neural Networks, Computer Learning Software Models, Neurological Neuronal Plasticity Algorithms Neurons Nonlinear Dynamics
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A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule.

Neural networks : the official journal of the International Neural Network Society Sep 27, 2019
Spiking neural networks (SNNs) possess energy-efficient potential due to event-based computation. However, supervised training of SNNs remains a challenge as spike activities are non-differentiable. Previous SNNs training methods can be generally cat...
Humans Neural Networks, Computer Neuronal Plasticity Action Potentials Supervised Machine Learning Neurons Pattern Recognition, Automated
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Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics.

Advanced materials (Deerfield Beach, Fla.) Sep 26, 2019
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a promising candidate for next-generation wearable computing, soft robotics, and neuroprosthetics. For realization, with the achievement of simple synaptic behavior...
Synapses Neural Networks, Computer Neuronal Plasticity Robotics Electronics Biomimetics Artificial Organs
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A comprehensive knowledge base of synaptic electrophysiology in the rodent hippocampal formation.

Hippocampus Aug 31, 2019
The cellular and synaptic architecture of the rodent hippocampus has been described in thousands of peer-reviewed publications. However, no human- or machine-readable public catalog of synaptic electrophysiology data exists for this or any other neur...
Neuronal Plasticity Knowledge Bases Data Mining Male Age Factors Rodentia Synapses Hippocampus Electrophysiological Phenomena Animals
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Locally connected spiking neural networks for unsupervised feature learning.

Neural networks : the official journal of the International Neural Network Society Aug 26, 2019
In recent years, spiking neural networks (SNNs) have demonstrated great success in completing various machine learning tasks. We introduce a method for learning image features with locally connected layers in SNNs using a spike-timing-dependent plast...
Neural Networks, Computer Machine Learning Neuronal Plasticity Models, Neurological Neurons
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Stochasticity from function - Why the Bayesian brain may need no noise.

Neural networks : the official journal of the International Neural Network Society Aug 19, 2019
An increasing body of evidence suggests that the trial-to-trial variability of spiking activity in the brain is not mere noise, but rather the reflection of a sampling-based encoding scheme for probabilistic computing. Since the precise statistical p...
Membrane Potentials Models, Neurological Bayes Theorem Neurons Neural Networks, Computer Computer Simulation Brain Neuronal Plasticity
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MorphIC: A 65-nm 738k-Synapse/mm Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning.

IEEE transactions on biomedical circuits and systems Jul 15, 2019
Recent trends in the field of neural network accelerators investigate weight quantization as a means to increase the resource- and power-efficiency of hardware devices. As full on-chip weight storage is necessary to avoid the high energy cost of off-...
Computers Humans Neuronal Plasticity Neural Networks, Computer Neurons
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