Works matching IS 16625188 AND DT 2012 AND VI 6
Results: 50
Between-subject variability of muscle synergies during a complex motor skill.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00099
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Computational quest for understanding the role of astrocyte signaling in synaptic transmission and plasticity.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00098
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Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00096
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The computational power of astrocyte mediated synaptic plasticity.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00093
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- Article
Bi-directional astrocytic regulation of neuronal activity within a network.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00092
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Support vector machines for spike pattern classification with a leaky integrate-and-fire neuron.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00078
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Brain state-dependent neuronal computation.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00077
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Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00072
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A computational model to investigate astrocytic glutamate uptake influence on synaptic transmission and neuronal spiking.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00070
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Self-repair in a bidirectionally coupled astrocyte-neuron (AN) system based on retrograde signaling.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00076
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Burst firing versus synchrony in a gap junction connected olfactory bulb mitral cell network model.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00075
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Synchronization dynamics and evidence for a repertoire of network states in resting EEG.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00074
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Dynamically partitionable autoassociative networks as a solution to the neural binding problem.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00073
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Summation in the hippocampal CA3-CA1 network remains robustly linear following inhibitory modulation and plasticity, but undergoes scaling and offset transformations.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00071
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Using "smart stimulators" to treat Parkinson's disease: re-engineering neurostimulation devices.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00069
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How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00068
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A computational role for bistability and traveling waves in motor cortex.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00067
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An approximation to the adaptive exponential integrate-and-fire neuron model allows fast and predictive fitting to physiological data.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00062
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Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00066
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Astrocyte regulation of sleep circuits: experimental and modeling perspectives.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00065
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Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortex.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00064
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Post-publication peer review: opening up scientific conversation.
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- 2012
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- Publication type:
- Opinion
Astroglial networks and implications for therapeutic neuromodulation of epilepsy.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00061
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Invariant recognition of visual objects: some emerging computational principles.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00060
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GABA release by hippocampal astrocytes.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00059
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Computational models of neuron-astrocyte interaction in epilepsy.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00058
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Input-to-output transformation in a model of the rat hippocampal CA1 network.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00057
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Invarian tobject recognition based on extended fragments.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00056
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Does spike-timing-dependent synaptic plasticity couple or decouple neurons firing in synchrony?
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00055
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The evaluation of research papers in the XXI century The Open Peer Discussion system of the World Economics Association.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00054
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Building blocks of self-sustained activity in a simple deterministic model of excitable neural networks.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00050
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Parametric computation predicts a multiplicative interaction between synaptic strength parameters that control gamma oscillations.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00053
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Progressive effect of beta amyloid peptides accumulation on CA1 pyramidal neurons: a model study suggesting possible treatments.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00052
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Parametric models to relate spike train and LFP dynamics with neural information processing.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00051
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When long-range zero-lag synchronization is feasible in cortical networks.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00049
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Learning view invariant recognition with partially occluded objects.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00048
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Spatially invariant computations in stereoscopic vision.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00047
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Renewing the respect for similarity.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00045
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Perception and self-organized instability.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00044
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Population spikes in cortical networks during different functional states.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00043
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Complex dynamics in recurrent cortical networks based on spatially realistic connectivities.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00041
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Multi-stage open peer review: scientific evaluation integrating the strengths of traditional peer review with the virtues of transparency and self-regulation.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00033
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Persistence and storage of activity patterns in spiking recurrent cortical networks: modulation of sigmoid signals by after-hyperpolarization currents and acetylcholine.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00042
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Recurrent network of perceptrons with three state synapses achieves competitive classification on real inputs.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00039
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Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00038
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Learning and disrupting invariance in visual recognition a temporal association rule.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00037
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Analysis of synaptic scaling in combination with Hebbian plasticity in several simple networks.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00036
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Invariant visual object and face recognition: neural and computational bases, and a model, VisNet.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00035
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Low-level contrast statistics are diagnostic of invariance of natural textures.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00034
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FOSE: a framework for open science evaluation.
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- Frontiers in Computational Neuroscience, 2012, v. 6, p. 1, doi. 10.3389/fncom.2012.00032
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- Article