AIMC Topic: Action Potentials

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Correlations and Neuronal Population Information.

Annual review of neuroscience Apr 21, 2016
Brain function involves the activity of neuronal populations. Much recent effort has been devoted to measuring the activity of neuronal populations in different parts of the brain under various experimental conditions. Population activity patterns co...
Statistics as Topic Models, Neurological Action Potentials Neurons Humans Artificial Intelligence Brain Animals
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Effect of network architecture on burst and spike synchronization in a scale-free network of bursting neurons.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2016
We investigate the effect of network architecture on burst and spike synchronization in a directed scale-free network (SFN) of bursting neurons, evolved via two independent α- and β-processes. The α-process corresponds to a directed version of the Ba...
Humans Neural Networks, Computer Neurons Probability Nerve Net Animals Models, Neurological Action Potentials
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Mechanisms of memory storage in a model perirhinal network.

Brain structure & function Mar 12, 2016
The perirhinal cortex supports recognition and associative memory. Prior unit recording studies revealed that recognition memory involves a reduced responsiveness of perirhinal cells to familiar stimuli whereas associative memory formation is linked ...
Humans Neural Networks, Computer Interneurons Perirhinal Cortex Animals Neuronal Plasticity Models, Neurological Action Potentials Neurons Memory
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Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks.

PloS one Feb 22, 2016
The Semantic Pointer Architecture (SPA) is a proposal of specifying the computations and architectural elements needed to account for cognitive functions. By means of the Neural Engineering Framework (NEF) this proposal can be realized in a spiking n...
Algorithms Action Potentials Neurons Probability Neural Networks, Computer Semantics
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Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection Functionality.

Neural computation Feb 18, 2016
A neural network model is presented of novelty detection in the CA1 subdomain of the hippocampal formation from the perspective of information flow. This computational model is restricted on several levels by both anatomical information about hippoca...
Models, Neurological Action Potentials Neurons Computer Simulation Animals Time Factors Biophysics Nerve Net CA1 Region, Hippocampal Electric Stimulation Humans Neural Networks, Computer
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Cortical Transformation of Spatial Processing for Solving the Cocktail Party Problem: A Computational Model(1,2,3).

eNeuro Feb 2, 2016
In multisource, "cocktail party" sound environments, human and animal auditory systems can use spatial cues to effectively separate and follow one source of sound over competing sources. While mechanisms to extract spatial cues such as interaural tim...
Auditory Cortex Sound Localization Discrimination, Psychological Spatial Processing Action Potentials Neurons Acoustic Stimulation Neural Networks, Computer Animals Models, Neurological Humans
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Memory Stacking in Hierarchical Networks.

Neural computation Dec 14, 2015
Robust representations of sounds with a complex spectrotemporal structure are thought to emerge in hierarchically organized auditory cortex, but the computational advantage of this hierarchy remains unknown. Here, we used computational models to stud...
Association Learning Computer Simulation Models, Neurological Neurons Humans Action Potentials Neural Networks, Computer Synapses Brain Memory
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Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons.

PLoS computational biology Dec 3, 2015
The autoencoder algorithm is a simple but powerful unsupervised method for training neural networks. Autoencoder networks can learn sparse distributed codes similar to those seen in cortical sensory areas such as visual area V1, but they can also be ...
Machine Learning Computer Simulation Learning Neuronal Plasticity Models, Neurological Action Potentials Humans Neural Networks, Computer Information Storage and Retrieval Signal Processing, Computer-Assisted Nerve Net Neurons Biomimetics
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On the Universality and Non-Universality of Spiking Neural P Systems With Rules on Synapses.

IEEE transactions on nanobioscience Nov 25, 2015
Spiking neural P systems with rules on synapses are a new variant of spiking neural P systems. In the systems, the neuron contains only spikes, while the spiking/forgetting rules are moved on the synapses. It was obtained that such system with 30 neu...
Humans Action Potentials Neural Networks, Computer Synapses Models, Neurological Computers, Molecular
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Synaptic Metaplasticity Realized in Oxide Memristive Devices.

Advanced materials (Deerfield Beach, Fla.) Nov 17, 2015
Metaplasticity, a higher order of synaptic plasticity, as well as a key issue in neuroscience, is realized with artificial synapses based on a WO3 thin film, and the activity-dependent metaplastic responses of the artificial synapses, such as spike-t...
Electrical Equipment and Supplies Neural Networks, Computer Biomimetic Materials Time Neuronal Plasticity Microscopy, Electron, Transmission Oxides Excitatory Postsynaptic Potentials Action Potentials Optical Imaging Equipment Design Synapses
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