AIMC Topic: Nerve Net

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Atoms of recognition in human and computer vision.

Proceedings of the National Academy of Sciences of the United States of America Feb 16, 2016
Discovering the visual features and representations used by the brain to recognize objects is a central problem in the study of vision. Recently, neural network models of visual object recognition, including biological and deep network models, have s...
Psychophysics Visual Pathways Brain Humans Models, Neurological Neural Networks, Computer Vision, Ocular Nerve Net Photic Stimulation Visual Perception Pattern Recognition, Visual Visual Cortex
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Multivariate pattern classification of pediatric Tourette syndrome using functional connectivity MRI.

Developmental science Feb 1, 2016
Tourette syndrome (TS) is a developmental neuropsychiatric disorder characterized by motor and vocal tics. Individuals with TS would benefit greatly from advances in prediction of symptom timecourse and treatment effectiveness. As a first step, we ap...
Prognosis Female Models, Neurological Male Adolescent Multivariate Analysis Case-Control Studies Child Nerve Net Support Vector Machine Tourette Syndrome Humans Magnetic Resonance Imaging
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Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity.

PloS one Jan 25, 2016
At around 7 months of age, human infants begin to reliably produce well-formed syllables containing both consonants and vowels, a behavior called canonical babbling. Over subsequent months, the frequency of canonical babbling continues to increase. H...
Lip Jaw Laryngeal Muscles Reward Feedback Humans Dopamine Nerve Net Motor Cortex Infant Phonetics Language Development Neuronal Plasticity Neural Networks, Computer Auditory Perception Models, Neurological Machine Learning Motor Neurons Computer Simulation
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Disrupted white matter connectivity underlying developmental dyslexia: A machine learning approach.

Human brain mapping Jan 20, 2016
Developmental dyslexia has been hypothesized to result from multiple causes and exhibit multiple manifestations, implying a distributed multidimensional effect on human brain. The disruption of specific white-matter (WM) tracts/regions has been obser...
Dyslexia Adolescent Cohort Studies Child Psychomotor Performance White Matter Nerve Net Diffusion Tensor Imaging Humans Machine Learning Female Male
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State-space model with deep learning for functional dynamics estimation in resting-state fMRI.

NeuroImage Jan 14, 2016
Studies on resting-state functional Magnetic Resonance Imaging (rs-fMRI) have shown that different brain regions still actively interact with each other while a subject is at rest, and such functional interaction is not stationary but changes over ti...
Brain Female Aged Male Humans Machine Learning Rest Nerve Net Cognitive Dysfunction Magnetic Resonance Imaging Models, Neurological Image Interpretation, Computer-Assisted
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Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network.

IEEE transactions on neural networks and learning systems Jan 13, 2016
A generalized predictive closed-loop control strategy to improve the basal ganglia activity patterns in Parkinson's disease (PD) is explored in this paper. Based on system identification, an input-output model is established to reveal the relationshi...
Humans Neural Networks, Computer Nerve Net Models, Neurological Basal Ganglia Parkinson Disease Deep Brain Stimulation
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Node Detection Using High-Dimensional Fuzzy Parcellation Applied to the Insular Cortex.

Neural plasticity Dec 31, 2015
Several functional connectivity approaches require the definition of a set of regions of interest (ROIs) that act as network nodes. Different methods have been developed to define these nodes and to derive their functional and effective connections, ...
Cluster Analysis Brain Mapping Adult Humans Cerebral Cortex Algorithms Male Nerve Net Female Fuzzy Logic Young Adult
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Effect of edge pruning on structural controllability and observability of complex networks.

Scientific reports Dec 17, 2015
Controllability and observability of complex systems are vital concepts in many fields of science. The network structure of the system plays a crucial role in determining its controllability and observability. Because most naturally occurring complex...
Animals Models, Neurological Humans Neurons Neural Networks, Computer Nerve Net Algorithms Computer Simulation
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Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons.

PLoS computational biology Dec 3, 2015
The autoencoder algorithm is a simple but powerful unsupervised method for training neural networks. Autoencoder networks can learn sparse distributed codes similar to those seen in cortical sensory areas such as visual area V1, but they can also be ...
Action Potentials Signal Processing, Computer-Assisted Neurons Biomimetics Information Storage and Retrieval Nerve Net Computer Simulation Learning Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer Machine Learning
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Reduction of Trial-to-Trial Perceptual Variability by Intracortical Tonic Inhibition.

Neural computation Nov 24, 2015
Variability is a prominent characteristic of cognitive brain function. For instance, different trials of presentation of the same stimulus yield higher variability in its perception: subjects sometimes fail in perceiving the same stimulus. Perceptual...
Nerve Net Neural Inhibition Membrane Potentials Dose-Response Relationship, Drug Humans Neurons Neural Networks, Computer Cerebral Cortex Models, Neurological gamma-Aminobutyric Acid
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