AIMC Topic: Long-Term Potentiation

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A computational model of systems memory consolidation and reconsolidation.

Hippocampus Dec 24, 2019
In the mammalian brain, newly acquired memories depend on the hippocampus (HPC) for maintenance and recall, but over time, the neocortex takes over these functions, rendering memories HPC-independent. The process responsible for this transformation i...
Animals Hippocampus Humans Neural Networks, Computer Long-Term Potentiation Memory Consolidation Receptors, AMPA Protein Transport Synaptic Transmission
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Effect of inhibitory spike-timing-dependent plasticity on fast sparsely synchronized rhythms in a small-world neuronal network.

Neural networks : the official journal of the International Neural Network Society Jul 2, 2018
We consider the Watts-Strogatz small-world network (SWN) consisting of inhibitory fast spiking Izhikevich interneurons. This inhibitory neuronal population has adaptive dynamic synaptic strengths governed by the inhibitory spike-timing-dependent plas...
Humans Neurons Synapses Neural Inhibition Long-Term Potentiation Neuronal Plasticity Interneurons Action Potentials Neural Networks, Computer Animals
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Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2017
We consider the Watts-Strogatz small-world network (SWN) consisting of subthreshold neurons which exhibit noise-induced spikings. This neuronal network has adaptive dynamic synaptic strengths governed by the spike-timing-dependent plasticity (STDP). ...
Noise Neurons Neuronal Plasticity Models, Neurological Electrophysiological Phenomena Long-Term Potentiation Synapses Stochastic Processes Neural Networks, Computer Feedback
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Flexible three-dimensional artificial synapse networks with correlated learning and trainable memory capability.

Nature communications Sep 29, 2017
If a three-dimensional physical electronic system emulating synapse networks could be built, that would be a significant step toward neuromorphic computing. However, the fabrication complexity of complementary metal-oxide-semiconductor architectures ...
Memory Long-Term Potentiation Electronics Synapses Neuronal Plasticity Models, Neurological Humans Algorithms Learning Neural Networks, Computer
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Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy: A computational study.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jul 8, 2017
OBJECTIVE: In postanoxic coma, EEG patterns indicate the severity of encephalopathy and typically evolve in time. We aim to improve the understanding of pathophysiological mechanisms underlying these EEG abnormalities.
Electroencephalography Netherlands Synapses Heart Arrest Hypoxia, Brain Male Humans Middle Aged Neural Networks, Computer Long-Term Potentiation Female Synaptic Transmission Coma Aged Membrane Potentials
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Investigation and Manipulation of Different Analog Behaviors of Memristor as Electronic Synapse for Neuromorphic Applications.

Scientific reports Mar 14, 2016
Low-power and high-density electronic synapse is an important building block of brain-inspired systems. The recent advancement in memristor has provided an opportunity to advance electronic synapse design. However, a guideline on designing and manipu...
X-Ray Diffraction Animals Algorithms Nerve Net Silicon Dioxide Brain Synapses Long-Term Synaptic Depression Electronics Electric Conductivity Humans Photoelectron Spectroscopy Ferric Compounds Long-Term Potentiation Neural Networks, Computer
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