AIMC Topic:
Neurons

Clear Filters Showing 1081 to 1090 of 1328 articles

A realistic bi-hemispheric model of the cerebellum uncovers the purpose of the abundant granule cells during motor control.

Frontiers in neural circuits May 1, 2015
The cerebellar granule cells (GCs) have been proposed to perform lossless, adaptive spatio-temporal coding of incoming sensory/motor information required by downstream cerebellar circuits to support motor learning, motor coordination, and cognition. ...
Neurons Animals Humans Cerebellum Neural Networks, Computer Models, Neurological Motor Activity Robotics
View on PubMed DOI

Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron.

IEEE transactions on biomedical circuits and systems Apr 22, 2015
We have added a simplified neuromorphic model of Spike Time Dependent Plasticity (STDP) to the previously described Synapto-dendritic Kernel Adapting Neuron (SKAN), a hardware efficient neuron model capable of learning spatio-temporal spike patterns....
Synaptic Transmission Synapses Signal-To-Noise Ratio Humans Neural Networks, Computer Models, Neurological Equipment Design Neurons
View on PubMed DOI

Memory dynamics in attractor networks.

Computational intelligence and neuroscience Apr 19, 2015
As can be represented by neurons and their synaptic connections, attractor networks are widely believed to underlie biological memory systems and have been used extensively in recent years to model the storage and retrieval process of memory. In this...
Models, Neurological Humans Neurons Neural Networks, Computer Nonlinear Dynamics Memory Computer Simulation Animals
View on PubMed DOI

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 Monte Carlo Method Torque Neurons Nanotechnology
View on PubMed DOI

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-...
Nerve Net Action Potentials Neural Networks, Computer Neurons Brain Humans Computer Simulation
View on PubMed DOI

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...
Artificial Intelligence Algorithms Learning Animals Computer Simulation Humans Neural Networks, Computer Models, Neurological Neurons
View on PubMed DOI

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, ...
Nerve Net Animals Humans Models, Neurological Learning Neural Networks, Computer Neurons Algorithms Synapses Action Potentials
View on PubMed DOI

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...
Neural Inhibition GABA Plasma Membrane Transport Proteins Action Potentials Neurons Nerve Net Synaptic Transmission gamma-Aminobutyric Acid Neural Networks, Computer Learning Models, Neurological Humans
View on PubMed DOI

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 Brain Action Potentials Neurons Nerve Net Computer Simulation Models, Neurological
View on PubMed DOI

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 Computational Biology Humans Neurons Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals