AIMC Topic: Synaptic Transmission

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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 Algorithms Computer Simulation Learning Deep Learning Models, Theoretical Neuronal Plasticity Neural Networks, Computer
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A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation.

Neural computation Jul 20, 2020
Bursting plays an important role in neural communication. At the population level, macroscopic bursting has been identified in populations of neurons that do not express intrinsic bursting mechanisms. For the analysis of phase transitions between bur...
Humans Neurons Nerve Net Synaptic Transmission Neural Networks, Computer Computer Simulation Action Potentials
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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....
Animals Models, Neurological Neurons Humans Neural Networks, Computer Reproducibility of Results Cerebral Cortex Memory 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,...
Female Electromyography Young Adult Synaptic Transmission Adult Humans Male Models, Neurological Neural Networks, Computer Adolescent Unsupervised Machine Learning Algorithms Signal Processing, Computer-Assisted Neuronal Plasticity
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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...
Memory Consolidation Receptors, AMPA Synaptic Transmission Long-Term Potentiation Humans Neural Networks, Computer Animals Hippocampus Protein Transport
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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) ...
Humans Neural Networks, Computer Models, Neurological Pyramidal Cells Synaptic Transmission Decision Making Motor Cortex Neurons Neural Inhibition 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 Models, Neurological Action Potentials Neural Networks, Computer Neurons Computer Simulation Neuronal Plasticity
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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...
Models, Neurological Humans Homeostasis Neural Networks, Computer Synaptic Transmission Brain
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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...
Neurons Neural Networks, Computer Animals Nerve Net Synaptic Transmission Models, Neurological Electric Stimulation Algorithms Information Theory Action Potentials
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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....
Neurons Synapses Humans Synaptic Transmission Neural Networks, Computer Animals Models, Neurological
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