AIMC Topic: Action Potentials

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Mechanism-Based and Input-Output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus.

Neural computation Oct 24, 2017
This letter examines the results of input-output (nonparametric) modeling based on the analysis of data generated by a mechanism-based (parametric) model of CA3-CA1 neuronal connections in the hippocampus. The motivation is to obtain biological insig...
Action Potentials Neurons Nonlinear Dynamics Neural Networks, Computer Animals Models, Neurological CA3 Region, Hippocampal Receptors, GABA Neural Inhibition Humans Synapses Receptors, N-Methyl-D-Aspartate CA1 Region, Hippocampal
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Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task.

PLoS computational biology Sep 29, 2017
Neural networks with a single plastic layer employing reward modulated spike time dependent plasticity (STDP) are capable of learning simple foraging tasks. Here we demonstrate advanced pattern discrimination and continuous learning in a network of s...
Neural Networks, Computer Appetitive Behavior Humans Machine Learning Neuronal Plasticity Feedback Algorithms Models, Neurological Animals Computational Biology Action Potentials
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Stimulus-induced transitions between spike-wave discharges and spindles with the modulation of thalamic reticular nucleus.

Journal of computational neuroscience Sep 22, 2017
It is believed that thalamic reticular nucleus (TRN) controls spindles and spike-wave discharges (SWD) in seizure or sleeping processes. The dynamical mechanisms of spatiotemporal evolutions between these two types of activity, however, are not well ...
Intralaminar Thalamic Nuclei Action Potentials Neurons Nonlinear Dynamics Nerve Net Electric Stimulation Neural Inhibition Computer Simulation Animals Models, Neurological Humans Neural Networks, Computer
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Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data.

Bio Systems Sep 15, 2017
The aim of the current work is twofold: firstly to adapt an existing method measuring the input synchrony of a neuron driven only by excitatory inputs in such a way so as to account for inhibitory inputs as well and secondly to further appropriately ...
Computer Simulation Animals Models, Neurological Neural Networks, Computer Neural Inhibition Guinea Pigs Action Potentials Neurons Auditory Cortex
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Robust spike-train learning in spike-event based weight update.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2017
Supervised learning algorithms in a spiking neural network either learn a spike-train pattern for a single neuron receiving input spike-train from multiple input synapses or learn to output the first spike time in a feedforward network setting. In th...
Algorithms Supervised Machine Learning Models, Neurological Humans Action Potentials Neural Networks, Computer Neurons Synapses
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Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks.

Journal of computational neuroscience Sep 12, 2017
Correlated neural activities such as synchronizations can significantly alter the characteristics of spike transfer between neural layers. However, it is not clear how this synchronization-dependent spike transfer can be affected by the structure of ...
Humans Neurons Synapses Nerve Net Normal Distribution Synaptic Transmission Animals Models, Neurological Action Potentials Neural Networks, Computer Computer Simulation
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Spiking Neural P Systems with Communication on Request.

International journal of neural systems Aug 16, 2017
Spiking Neural [Formula: see text] Systems are Neural System models characterized by the fact that each neuron mimics a biological cell and the communication between neurons is based on spikes. In the Spiking Neural [Formula: see text] systems invest...
Models, Neurological Action Potentials Neural Networks, Computer Animals
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Information reduction in a reverberatory neuronal network through convergence to complex oscillatory firing patterns.

Bio Systems Jul 27, 2017
Dynamics of a reverberating neural net is studied by means of computer simulation. The net, which is composed of 9 leaky integrate-and-fire (LIF) neurons arranged in a square lattice, is fully connected with interneuronal communication delay proporti...
Neurons Nerve Net Humans Computer Simulation Neural Networks, Computer Models, Neurological Action Potentials
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A multivariate extension of mutual information for growing neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2017
Recordings of neural network activity in vitro are increasingly being used to assess the development of neural network activity and the effects of drugs, chemicals and disease states on neural network function. The high-content nature of the data der...
Patch-Clamp Techniques Neurons Neural Networks, Computer Action Potentials Microarray Analysis Microelectrodes
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Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.

Scientific reports Jul 13, 2017
Brain-inspired computation can revolutionize information technology by introducing machines capable of recognizing patterns (images, speech, video) and interacting with the external world in a cognitive, humanlike way. Achieving this goal requires fi...
Humans Neural Networks, Computer Brain Computer Simulation Action Potentials Learning Synapses Neuronal Plasticity Time Perception
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