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Models, Neurological

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Synaptic Mechanisms of Memory Consolidation during Sleep Slow Oscillations.

The Journal of neuroscience : the official journal of the Society for Neuroscience Apr 13, 2016
UNLABELLED: Sleep is critical for regulation of synaptic efficacy, memories, and learning. However, the underlying mechanisms of how sleep rhythms contribute to consolidating memories acquired during wakefulness remain unclear. Here we studied the ro...
Thalamus Sodium Channels Calcium Channels Cerebral Cortex Memory Neuronal Plasticity Models, Neurological Electroencephalography Neurons Synapses Sleep Humans Neural Networks, Computer Algorithms Computer Simulation
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Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons.

Neuroinformatics Apr 1, 2016
Digital reconstruction of neuronal cell morphology is an important step toward understanding the functionality of neuronal networks. Neurons are tree-like structures whose description depends critically on the junctions and terminations, collectively...
Humans Fuzzy Logic Models, Neurological Microscopy, Fluorescence Neurons Algorithms Animals Image Processing, Computer-Assisted
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Homeostatic Activity-Dependent Tuning of Recurrent Networks for Robust Propagation of Activity.

The Journal of neuroscience : the official journal of the Society for Neuroscience Mar 30, 2016
UNLABELLED: Developing neuronal networks display spontaneous bursts of action potentials that are necessary for circuit organization and tuning. While spontaneous activity has been shown to instruct map formation in sensory circuits, it is unknown wh...
Humans Neurons Locomotion Homeostasis Nerve Net Neural Networks, Computer Neuronal Plasticity Periodicity Computer Simulation Models, Neurological Animals Action Potentials
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Spiking neurons can discover predictive features by aggregate-label learning.

Science (New York, N.Y.) Mar 4, 2016
The brain routinely discovers sensory clues that predict opportunities or dangers. However, it is unclear how neural learning processes can bridge the typically long delays between sensory clues and behavioral outcomes. Here, I introduce a learning c...
Neurons Concept Formation Humans Reinforcement, Psychology Neural Networks, Computer Formative Feedback Membrane Potentials Brain Models, Neurological Learning Unsupervised Machine Learning Speech Supervised Machine Learning
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Using goal-driven deep learning models to understand sensory cortex.

Nature neuroscience Mar 1, 2016
Fueled by innovation in the computer vision and artificial intelligence communities, recent developments in computational neuroscience have used goal-driven hierarchical convolutional neural networks (HCNNs) to make strides in modeling neural single-...
Models, Neurological Goals Visual Cortex Neural Networks, Computer Learning Animals Somatosensory Cortex Humans
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BIT: Biologically Inspired Tracker.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 1, 2016
Visual tracking is challenging due to image variations caused by various factors, such as object deformation, scale change, illumination change, and occlusion. Given the superior tracking performance of human visual system (HVS), an ideal design of b...
Image Processing, Computer-Assisted Models, Neurological Video Recording Pattern Recognition, Automated Humans Machine Learning Visual Perception Fourier Analysis
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Decentralized Multisensory Information Integration in Neural Systems.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jan 13, 2016
UNLABELLED: How multiple sensory cues are integrated in neural circuitry remains a challenge. The common hypothesis is that information integration might be accomplished in a dedicated multisensory integration area receiving feedforward inputs from t...
Electronic Data Processing Humans Neural Pathways Bayes Theorem Neural Networks, Computer Computer Simulation Neurons Animals Sensation Models, Neurological
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The importance of imagination (or lack thereof) in artificial, human and quantum decision making.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jan 13, 2016
Enlarging upon experiments and analysis that I did jointly some years ago, in which artificial (symbolic, neural-net and pattern) learning and generalization were compared with that of humans, I will emphasize the role of imagination (or lack thereof...
Quantum Theory Imagination Humans Models, Neurological Decision Making Machine Learning Models, Statistical Decision Support Techniques Computer Simulation
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New fundamental evidence of non-classical structure in the combination of natural concepts.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jan 13, 2016
We recently performed cognitive experiments on conjunctions and negations of two concepts with the aim of investigating the combination problem of concepts. Our experiments confirmed the deviations (conceptual vagueness, underextension, overextension...
Models, Neurological Models, Statistical Quantum Theory Thinking Concept Formation Computer Simulation Humans Cognition Fuzzy Logic
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[Hardware Implementation of Numerical Simulation Function of Hodgkin-Huxley Model Neurons Action Potential Based on Field Programmable Gate Array].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 1, 2015
Neuron is the basic unit of the biological neural system. The Hodgkin-Huxley (HH) model is one of the most realistic neuron models on the electrophysiological characteristic description of neuron. Hardware implementation of neuron could provide new r...
Synaptic Transmission Models, Neurological Humans Action Potentials Neural Networks, Computer Neurons Computer Simulation
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