AIMC Topic: Neurons

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Spin-transfer torque magnetic memory as a stochastic memristive synapse for neuromorphic systems.

IEEE transactions on biomedical circuits and systems Apr 14, 2015
Spin-transfer torque magnetic memory (STT-MRAM) is currently under intense academic and industrial development, since it features non-volatility, high write and read speed and high endurance. In this work, we show that when used in a non-conventional...
Humans Neural Networks, Computer Synapses Magnetics Neurons Monte Carlo Method Torque Nanotechnology
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Measuring predictability of autonomous network transitions into bursting dynamics.

PloS one Apr 9, 2015
Understanding spontaneous transitions between dynamical modes in a network is of significant importance. These transitions may separate pathological and normal functions of the brain. In this paper, we develop a set of measures that, based on spatio-...
Neurons Brain Nerve Net Computer Simulation Humans Action Potentials Neural Networks, Computer
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Timescale separation in recurrent neural networks.

Neural computation Mar 31, 2015
Supervised learning in recurrent neural networks involves two processes: the neuron activity from which gradients are estimated and the process on connection parameters induced by these measurements. A problem such algorithms must address is how to b...
Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation Learning Humans Neurons Animals Models, Neurological
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DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.

IEEE transactions on neural networks and learning systems Mar 18, 2015
Recent research has shown the potential capability of spiking neural networks (SNNs) to model complex information processing in the brain. There is biological evidence to prove the use of the precise timing of spikes for information coding. However, ...
Synapses Nerve Net Humans Neural Networks, Computer Algorithms Models, Neurological Learning Action Potentials Animals Neurons
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Regulation of Local Ambient GABA Levels via Transporter-Mediated GABA Import and Export for Subliminal Learning.

Neural computation Mar 16, 2015
Perception of supraliminal stimuli might in general be reflected in bursts of action potentials (spikes), and their memory traces could be formed through spike-timing-dependent plasticity (STDP). Memory traces for subliminal stimuli might be formed i...
GABA Plasma Membrane Transport Proteins Synaptic Transmission Neural Inhibition Models, Neurological Action Potentials Neurons gamma-Aminobutyric Acid Nerve Net Humans Neural Networks, Computer Learning
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Surrogate population models for large-scale neural simulations.

Neural computation Mar 16, 2015
Because different parts of the brain have rich interconnections, it is not possible to model small parts realistically in isolation. However, it is also impractical to simulate large neural systems in detail. This article outlines a new approach to m...
Humans Neural Networks, Computer Action Potentials Neurons Nerve Net Brain Computer Simulation Models, Neurological
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Towards the automatic classification of neurons.

Trends in neurosciences Mar 9, 2015
The classification of neurons into types has been much debated since the inception of modern neuroscience. Recent experimental advances are accelerating the pace of data collection. The resulting growth of information about morphological, physiologic...
Animals Humans Computational Biology Machine Learning Neurons
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Hardware-amenable structural learning for spike-based pattern classification using a simple model of active dendrites.

Neural computation Mar 3, 2015
This letter presents a spike-based model that employs neurons with functionally distinct dendritic compartments for classifying high-dimensional binary patterns. The synaptic inputs arriving on each dendritic subunit are nonlinearly processed before ...
Dendrites Nonlinear Dynamics Synapses Algorithms Animals Support Vector Machine Models, Neurological Action Potentials Neurons
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Artificial neuron-glia networks learning approach based on cooperative coevolution.

International journal of neural systems Feb 26, 2015
Artificial Neuron-Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way information is processed by neural and...
Neuroglia Genetics Humans Neural Networks, Computer Learning Algorithms Neurons
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Designing responsive pattern generators: stable heteroclinic channel cycles for modeling and control.

Bioinspiration & biomimetics Feb 25, 2015
A striking feature of biological pattern generators is their ability to respond immediately to multisensory perturbations by modulating the dwell time at a particular phase of oscillation, which can vary force output, range of motion, or other charac...
Feedback, Physiological Central Pattern Generators Neurons Biomimetics Models, Neurological Neural Networks, Computer Humans Action Potentials Computer Simulation Models, Statistical Animals
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