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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...
Stochastic Processes Animals Mice Models, Neurological Monte Carlo Method Nerve Net Action Potentials Cerebral Cortex Humans Neural Networks, Computer Computer Simulation
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The transfer and transformation of collective network information in gene-matched networks.

Scientific reports Oct 9, 2015
Networks, such as the human society network, social and professional networks, and biological system networks, contain vast amounts of information. Information signals in networks are distributed over nodes and transmitted through intricately wired l...
Humans Neural Networks, Computer Algorithms Gene Regulatory Networks Neurons Nerve Net Models, Genetic Signal Transduction Models, Neurological
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Real-Time Simulation of Passage-of-Time Encoding in Cerebellum Using a Scalable FPGA-Based System.

IEEE transactions on biomedical circuits and systems Oct 6, 2015
The cerebellum plays a critical role for sensorimotor control and learning. However, dysmetria or delays in movements' onsets consequent to damages in cerebellum cannot be cured completely at the moment. Neuroprosthesis is an emerging technology that...
Animals Time Factors Models, Neurological Humans Neural Networks, Computer Cerebellum Electronics, Medical Neural Prostheses
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A minimum attention control law for ball catching.

Bioinspiration & biomimetics Oct 6, 2015
Digital implementations of control laws typically involve discretization with respect to both time and space, and a control law that can achieve a task at coarser levels of discretization can be said to require less control attention, and also reduce...
Computer Simulation Computer-Aided Design Models, Neurological Robotics Humans Algorithms Athletic Performance Baseball Attention Feedback, Physiological Biomimetics Motion Perception Arm
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Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms.

IEEE transactions on bio-medical engineering Oct 1, 2015
GOAL: In this study, we defined a realistic cerebellar model through the use of artificial spiking neural networks, testing it in computational simulations that reproduce associative motor tasks in multiple sessions of acquisition and extinction.
Blinking Neural Networks, Computer Algorithms Computer Simulation Action Potentials Neuronal Plasticity Humans Models, Neurological Cerebellum
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Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model.

PLoS computational biology Sep 25, 2015
Transitive inference (the ability to infer that B > D given that B > C and C > D) is a widespread characteristic of serial learning, observed in dozens of species. Despite these robust behavioral effects, reinforcement learning models reliant on rewa...
Computational Biology Models, Neurological Models, Statistical Reward Macaca mulatta Learning Humans Animals Machine Learning Male Algorithms
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Impact of sub and supra-threshold adaptation currents in networks of spiking neurons.

Journal of computational neuroscience Sep 24, 2015
Neuronal adaptation is the intrinsic capacity of the brain to change, by various mechanisms, its dynamical responses as a function of the context. Such a phenomena, widely observed in vivo and in vitro, is known to be crucial in homeostatic regulatio...
Nerve Net Humans Adaptation, Physiological Potassium Channels, Voltage-Gated Neural Networks, Computer Synapses Calcium Channels Cerebral Cortex Action Potentials Nerve Tissue Proteins Neurons Nonlinear Dynamics Computer Simulation Animals Models, Neurological
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Rich spectrum of neural field dynamics in the presence of short-term synaptic depression.

Physical review. E, Statistical, nonlinear, and soft matter physics Sep 14, 2015
In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred...
Nonlinear Dynamics Models, Neurological Action Potentials Neurons Neural Networks, Computer Neuronal Plasticity
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Networks that learn the precise timing of event sequences.

Journal of computational neuroscience Sep 3, 2015
Neuronal circuits can learn and replay firing patterns evoked by sequences of sensory stimuli. After training, a brief cue can trigger a spatiotemporal pattern of neural activity similar to that evoked by a learned stimulus sequence. Network models s...
Time Pyramidal Cells Time Perception Machine Learning Computer Simulation Learning Synapses Nerve Net Humans Neuronal Plasticity Models, Neurological Neural Networks, Computer
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Corticostriatal response selection in sentence production: Insights from neural network simulation with reservoir computing.

Brain and language Sep 1, 2015
Language production requires selection of the appropriate sentence structure to accommodate the communication goal of the speaker - the transmission of a particular meaning. Here we consider event meanings, in terms of predicates and thematic roles, ...
Humans Neural Networks, Computer Language Models, Neurological Cerebral Cortex Learning Animals Primates Corpus Striatum Models, Psychological Linguistics
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