AIMC Topic: Neuronal Plasticity

Clear Filters Showing 91 to 100 of 246 articles

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...
Brain Learning Animals Neural Networks, Computer Artificial Intelligence Humans Algorithms Neurons Memory Biological Evolution Genomics Cognition Neuronal Plasticity
View on PubMed DOI

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...
Neural Networks, Computer Neurons Algorithms Pattern Recognition, Automated Neuronal Plasticity Models, Neurological
View on PubMed DOI

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...
Neural Networks, Computer Machine Learning Algorithms Humans Neurons Synapses Computers Neuronal Plasticity
View on PubMed DOI

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...
Neurons Synapses Synaptic Transmission Models, Neurological Action Potentials Models, Statistical Models, Theoretical Neuronal Plasticity Computer Simulation Neural Networks, Computer Learning Algorithms Deep Learning
View on PubMed DOI

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...
Neuronal Plasticity Models, Neurological Action Potentials Algorithms Brain Neurons Nerve Net Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

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 Artificial Organs Synapses Transistors, Electronic Neuronal Plasticity Neural Networks, Computer Oxidation-Reduction Ion Transport Biomimetics
View on PubMed DOI

Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity.

Neural plasticity Aug 24, 2020
The effects of acupuncture facilitating neural plasticity for treating diseases have been identified by clinical and experimental studies. In the last two decades, the application of neuroimaging techniques in acupuncture research provided visualized...
Humans Machine Learning Brain Acupuncture Therapy Image Processing, Computer-Assisted Neuronal Plasticity Neuroimaging Brain Mapping
View on PubMed DOI

General Distributed Neural Control and Sensory Adaptation for Self-Organized Locomotion and Fast Adaptation to Damage of Walking Robots.

Frontiers in neural circuits Aug 17, 2020
Walking animals such as invertebrates can effectively perform self-organized and robust locomotion. They can also quickly adapt their gait to deal with injury or damage. Such a complex achievement is mainly performed via coordination between the legs...
Walking Locomotion Adaptation, Physiological Neural Networks, Computer Neuronal Plasticity Central Pattern Generators Computer Simulation Robotics
View on PubMed DOI

Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics.

Nature communications Aug 12, 2020
Sensory information processing in robot skins currently rely on a centralized approach where signal transduction (on the body) is separated from centralized computation and decision-making, requiring the transfer of large amounts of data from periphe...
Logic Nociception Presynaptic Terminals Robotics Signal Processing, Computer-Assisted Transistors, Electronic Neuronal Plasticity Action Potentials
View on PubMed DOI

Sparse coding with a somato-dendritic rule.

Neural networks : the official journal of the International Neural Network Society Jun 26, 2020
Cortical neurons are silent most of the time: sparse activity enables low-energy computation in the brain, and promises to do the same in neuromorphic hardware. Beyond power efficiency, sparse codes have favourable properties for associative learning...
Neural Networks, Computer Machine Learning Feedback Neuronal Plasticity Dendrites Association Learning Humans
View on PubMed DOI
Popular Topics
Recent Journals