AIMC Topic: Neurons

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Dynamic role of adult-born dentate granule cells in memory processing.

Current opinion in neurobiology Jun 19, 2015
Throughout the adult life of all mammals including humans, new neurons are incorporated to the dentate gyrus of the hippocampus. During a critical window that lasts about two weeks, adult-born immature neurons are more excitable and plastic than matu...
Dentate Gyrus Adult Animals Neurons Nerve Net Memory Humans Neurogenesis Neural Networks, Computer
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A neural network that finds a naturalistic solution for the production of muscle activity.

Nature neuroscience Jun 15, 2015
It remains an open question how neural responses in motor cortex relate to movement. We explored the hypothesis that motor cortex reflects dynamics appropriate for generating temporally patterned outgoing commands. To formalize this hypothesis, we tr...
Animals Muscle, Skeletal Electromyography Neural Networks, Computer Motor Activity Neurons Motor Cortex Nerve Net Electrophysiological Phenomena Haplorhini
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Speed-accuracy tradeoff by a control signal with balanced excitation and inhibition.

Journal of neurophysiology May 20, 2015
A hallmark of flexible behavior is the brain's ability to dynamically adjust speed and accuracy in decision-making. Recent studies suggested that such adjustments modulate not only the decision threshold, but also the rate of evidence accumulation. H...
Neural Networks, Computer Synapses Decision Making Animals Haplorhini Neural Inhibition Time Factors Parietal Lobe Neurons Action Potentials Psychomotor Performance
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Learning Slowness in a Sparse Model of Invariant Feature Detection.

Neural computation May 14, 2015
Primary visual cortical complex cells are thought to serve as invariant feature detectors and to provide input to higher cortical areas. We propose a single model for learning the connectivity required by complex cells that integrates two factors tha...
Models, Neurological Neurons Markov Chains Eye Movements Time Factors Visual Perception Visual Cortex Humans Machine Learning Learning
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A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.

Neural computation May 14, 2015
Neural network models of early sensory processing typically reduce the dimensionality of streaming input data. Such networks learn the principal subspace, in the sense of principal component analysis, by adjusting synaptic weights according to activi...
Algorithms Learning Models, Neurological Neural Networks, Computer Linear Models Principal Component Analysis Neurons
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An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities.

IEEE transactions on neural networks and learning systems May 13, 2015
Modeling and implementation approaches for the reproduction of input-output relationships in biological nervous tissues contribute to the development of engineering and clinical applications. However, because of high nonlinearity, the traditional mod...
Synapses Hippocampus Nerve Net Models, Neurological Action Potentials Neurons Computer Simulation Animals Humans Neural Networks, Computer
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Periodic synchronization control of discontinuous delayed networks by using extended Filippov-framework.

Neural networks : the official journal of the International Neural Network Society May 6, 2015
This paper is concerned with the periodic synchronization problem for a general class of delayed neural networks (DNNs) with discontinuous neuron activation. One of the purposes is to analyze the problem of periodic orbits. To do so, we introduce new...
Feedback Time Factors Neurons Humans Nerve Net Neural Networks, Computer Algorithms
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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 Models, Neurological Neural Networks, Computer Motor Activity Robotics
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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....
Signal-To-Noise Ratio Synaptic Transmission Equipment Design Neurons Synapses Humans Neural Networks, Computer Models, Neurological
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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...
Neurons Nonlinear Dynamics Memory Animals Models, Neurological Humans Neural Networks, Computer Computer Simulation
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