AIMC Topic: Action Potentials

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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...
Models, Neurological Action Potentials Neurons Synapses Memory Association Learning Neural Networks, Computer Brain Computer Simulation Humans
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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 ...
Computer Simulation Learning Neuronal Plasticity Humans Neural Networks, Computer Machine Learning Neurons Biomimetics Information Storage and Retrieval Nerve Net Models, Neurological Action Potentials Signal Processing, Computer-Assisted
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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...
Action Potentials Humans Synapses Neural Networks, Computer Computers, Molecular Models, Neurological
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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...
Time Excitatory Postsynaptic Potentials Microscopy, Electron, Transmission Neural Networks, Computer Optical Imaging Neuronal Plasticity Electrical Equipment and Supplies Action Potentials Oxides Synapses Equipment Design Biomimetic Materials
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Coherent and intermittent ensemble oscillations emerge from networks of irregular spiking neurons.

Journal of neurophysiology Nov 11, 2015
Local field potential (LFP) recordings from spatially distant cortical circuits reveal episodes of coherent gamma oscillations that are intermittent, and of variable peak frequency and duration. Concurrently, single neuron spiking remains largely irr...
Gamma Rhythm Neural Pathways Interneurons Pyramidal Cells Neural Networks, Computer Animals Models, Neurological Action Potentials Neurons Cerebral Cortex Humans
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A Spiking Neural Network in sEMG Feature Extraction.

Sensors (Basel, Switzerland) Nov 3, 2015
We have developed a novel algorithm for sEMG feature extraction and classification. It is based on a hybrid network composed of spiking and artificial neurons. The spiking neuron layer with mutual inhibition was assigned as feature extractor. We demo...
Humans Neural Networks, Computer Adult Male Middle Aged Action Potentials Algorithms Female Young Adult Signal Processing, Computer-Assisted Electromyography
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Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks.

Neural computation Oct 23, 2015
Information encoding in the nervous system is supported through the precise spike timings of neurons; however, an understanding of the underlying processes by which such representations are formed in the first place remains an open question. Here we ...
Neuronal Plasticity Neurons Action Potentials Neural Networks, Computer Supervised Machine Learning Learning
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Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.

Neural networks : the official journal of the International Neural Network Society Oct 17, 2015
The paper describes a new type of evolving connectionist systems (ECOS) called evolving spatio-temporal data machines based on neuromorphic, brain-like information processing principles (eSTDM). These are multi-modular computer systems designed to de...
Action Potentials Electroencephalography Equipment Design Humans Brain Neural Networks, Computer Neurosciences Time Factors Machine Learning Models, Neurological
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Enhancement of Spike-Timing-Dependent Plasticity in Spiking Neural Systems with Noise.

International journal of neural systems Oct 9, 2015
Synaptic plasticity is widely recognized to support adaptable information processing in the brain. Spike-timing-dependent plasticity, one subtype of plasticity, can lead to synchronous spike propagation with temporal spiking coding information. Recen...
Neurons Neuronal Plasticity Humans Cerebral Cortex Models, Neurological Neural Networks, Computer Stochastic Processes Action Potentials Animals
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Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity.

Journal of computational neuroscience Oct 9, 2015
Heterogeneity of neural attributes has recently gained a lot of attention and is increasing recognized as a crucial feature in neural processing. Despite its importance, this physiological feature has traditionally been neglected in theoretical studi...
Models, Neurological Action Potentials Cerebral Cortex Monte Carlo Method Nerve Net Stochastic Processes Computer Simulation Animals Humans Mice Neural Networks, Computer
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