AIMC Topic: Neuronal Plasticity

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Stretchable Temperature-Responsive Multimodal Neuromorphic Electronic Skin with Spontaneous Synaptic Plasticity Recovery.

ACS nano Apr 22, 2022
Multimodal electronic skin devices capable of detecting multimodal signals provide the possibility for health monitoring. Sensing and memory for temperature and deformation by human skin are of great significance for the perception and monitoring of ...
Robotics Electronics Transistors, Electronic Wearable Electronic Devices Neuronal Plasticity Humans Temperature
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Introducing principles of synaptic integration in the optimization of deep neural networks.

Nature communications Apr 7, 2022
Plasticity circuits in the brain are known to be influenced by the distribution of the synaptic weights through the mechanisms of synaptic integration and local regulation of synaptic strength. However, the complex interplay of stimulation-dependent ...
Brain Learning Neuronal Plasticity Neural Networks, Computer Algorithms
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Intrinsic bursts facilitate learning of Lévy flight movements in recurrent neural network models.

Scientific reports Mar 23, 2022
Isolated spikes and bursts of spikes are thought to provide the two major modes of information coding by neurons. Bursts are known to be crucial for fundamental processes between neuron pairs, such as neuronal communications and synaptic plasticity. ...
Action Potentials Neurons Movement Humans Neuronal Plasticity Neural Networks, Computer Models, Neurological
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Organic electrochemical neurons and synapses with ion mediated spiking.

Nature communications Feb 22, 2022
Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating artificial neuromorphic devices with biological systems. Due to their poor biocompatibility, circuit complexity, low energy efficiency, and operating...
Neuronal Plasticity Synapses Silicon Brain-Computer Interfaces Robotics Neurons
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Plasmonic Optoelectronic Memristor Enabling Fully Light-Modulated Synaptic Plasticity for Neuromorphic Vision.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Dec 29, 2021
Exploration of optoelectronic memristors with the capability to combine sensing and processing functions is required to promote development of efficient neuromorphic vision. In this work, the authors develop a plasmonic optoelectronic memristor that ...
Neural Networks, Computer Metal Nanoparticles Titanium Neuronal Plasticity Surface Plasmon Resonance Optical Devices Silver Equipment Design Optical Phenomena
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Retrospective memory integration accompanies reconfiguration of neural cell assemblies.

Hippocampus Dec 21, 2021
Memory is a dynamic process that is based on and can be altered by experiences. Integrating memories of multiple experiences (memory integration) is the basis of flexible and complex decision-making. However, the mechanism of memory integration in ne...
Neural Networks, Computer Artificial Intelligence Neuronal Plasticity Memory Retrospective Studies
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Tinnitus-like "hallucinations" elicited by sensory deprivation in an entropy maximization recurrent neural network.

PLoS computational biology Dec 8, 2021
Sensory deprivation has long been known to cause hallucinations or "phantom" sensations, the most common of which is tinnitus induced by hearing loss, affecting 10-20% of the population. An observable hearing loss, causing auditory sensory deprivatio...
Sensory Deprivation Hallucinations Auditory Perception Neuronal Plasticity Tinnitus Entropy Information Theory Cochlear Nucleus Algorithms Computer Simulation Humans Neural Networks, Computer
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Accuracy Versus Simplification in an Approximate Logic Neural Model.

IEEE transactions on neural networks and learning systems Oct 27, 2021
An approximate logic neural model (ALNM) is a novel single-neuron model with plastic dendritic morphology. During the training process, the model can eliminate unnecessary synapses and useless branches of dendrites. It will produce a specific dendrit...
Dendrites Synapses Logic Reproducibility of Results Neural Networks, Computer Humans Neuronal Plasticity Algorithms Databases, Factual
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Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 19, 2021
Biological neurons have adaptive nature and perform complex computations involving the filtering of redundant information. However, most common neural cell models, including biologically plausible, such as Hodgkin-Huxley or Izhikevich, do not possess...
Models, Neurological Action Potentials Algorithms Neuronal Plasticity Neurons Neural Networks, Computer
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Online Learning and Memory of Neural Trajectory Replays for Prefrontal Persistent and Dynamic Representations in the Irregular Asynchronous State.

Frontiers in neural circuits Jul 8, 2021
In the prefrontal cortex (PFC), higher-order cognitive functions and adaptive flexible behaviors rely on continuous dynamical sequences of spiking activity that constitute neural trajectories in the state space of activity. Neural trajectories subser...
Models, Neurological Prefrontal Cortex Action Potentials Neuronal Plasticity Education, Distance Memory, Short-Term Humans Neural Networks, Computer
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