AIMC Topic: Synaptic Transmission

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Neuronal mechanisms for sequential activation of memory items: Dynamics and reliability.

PloS one Apr 16, 2020
In this article we present a biologically inspired model of activation of memory items in a sequence. Our model produces two types of sequences, corresponding to two different types of cerebral functions: activation of regular or irregular sequences....
Neurons Reproducibility of Results Cerebral Cortex Animals Humans Memory Models, Neurological Neural Networks, Computer Synaptic Transmission
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Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier.

Sensors (Basel, Switzerland) Jan 16, 2020
One of the modern trends in the design of human-machine interfaces (HMI) is to involve the so called spiking neuron networks (SNNs) in signal processing. The SNNs can be trained by simple and efficient biologically inspired algorithms. In particular,...
Adult Male Adolescent Algorithms Female Young Adult Humans Signal Processing, Computer-Assisted Neuronal Plasticity Neural Networks, Computer Electromyography Models, Neurological Synaptic Transmission Unsupervised Machine Learning
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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...
Humans Neural Networks, Computer Synaptic Transmission Long-Term Potentiation Memory Consolidation Animals Hippocampus Protein Transport Receptors, AMPA
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Reducing variability in motor cortex activity at a resting state by extracellular GABA for reliable perceptual decision-making.

Journal of computational neuroscience Nov 13, 2019
Interaction between sensory and motor cortices is crucial for perceptual decision-making, in which intracortical inhibition might have an important role. We simulated a neural network model consisting of a sensory network (N) and a motor network (N) ...
Pyramidal Cells Synaptic Transmission Motor Cortex Neural Inhibition Humans Neural Networks, Computer Models, Neurological Decision Making Neurons gamma-Aminobutyric Acid
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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...
Synapses Synaptic Transmission Reinforcement, Psychology Action Potentials Neurons Neural Networks, Computer Computer Simulation Neuronal Plasticity Models, Neurological
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Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms.

Neural networks : the official journal of the International Neural Network Society Oct 5, 2019
The immense complexity of the brain requires that it be built and controlled by intrinsic, self-regulating mechanisms. One such mechanism, the formation of new connections via synaptogenesis, plays a central role in neuronal connectivity and, ultimat...
Homeostasis Neural Networks, Computer Humans Synaptic Transmission Brain Models, Neurological
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Using intersection information to map stimulus information transfer within neural networks.

Bio Systems Sep 21, 2019
Analytical tools that estimate the directed information flow between simultaneously recorded neural populations, such as directed information or Granger causality, typically focus on measuring how much information is exchanged between such population...
Neural Networks, Computer Information Theory Algorithms Animals Nerve Net Electric Stimulation Synaptic Transmission Models, Neurological Action Potentials Neurons
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Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction.

Neural computation Sep 16, 2019
In computational neural network models, neurons are usually allowed to excite some and inhibit other neurons, depending on the weight of their synaptic connections. The traditional way to transform such networks into networks that obey Dale's law (i....
Humans Neural Networks, Computer Animals Models, Neurological Neurons Synapses Synaptic Transmission
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DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images.

PLoS computational biology May 13, 2019
Neuronal synapses transmit electrochemical signals between cells through the coordinated action of presynaptic vesicles, ion channels, scaffolding and adapter proteins, and membrane receptors. In situ structural characterization of numerous synaptic ...
Nerve Tissue Proteins Neural Networks, Computer Neurons Software Computer Simulation Mice Cerebral Cortex Databases, Factual Synapses Animals Computational Biology Synaptic Transmission Image Processing, Computer-Assisted Models, Neurological Microscopy, Fluorescence, Multiphoton
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Memristive Imitation of Synaptic Transmission and Plasticity.

IEEE transactions on neural networks and learning systems Feb 11, 2019
In this paper, a memristive artificial neural circuit imitating the excitatory chemical synaptic transmission of biological synapse is designed. The proposed memristor-based neural circuit exhibits synaptic plasticity, one of the important neurochemi...
Neuronal Plasticity Humans Synaptic Transmission Neural Networks, Computer Imitative Behavior
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