AIMC Topic: Models, Neurological

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Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection Functionality.

Neural computation Feb 18, 2016
A neural network model is presented of novelty detection in the CA1 subdomain of the hippocampal formation from the perspective of information flow. This computational model is restricted on several levels by both anatomical information about hippoca...
Neural Networks, Computer Computer Simulation Animals Time Factors Humans CA1 Region, Hippocampal Electric Stimulation Biophysics Models, Neurological Action Potentials Neurons Nerve Net
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Classifying continuous, real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory system.

Bioinspiration & biomimetics Feb 18, 2016
In many application domains, conventional e-noses are frequently outperformed in both speed and accuracy by their biological counterparts. Exploring potential bio-inspired improvements, we note a number of neuronal network models have demonstrated so...
Electronic Nose Receptors, Odorant Equipment Design Signal Processing, Computer-Assisted Biomimetics Insecta Smell Nerve Net Equipment Failure Analysis Computer Simulation Animals Computer Systems Models, Neurological Neural Networks, Computer
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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...
Pattern Recognition, Visual Visual Cortex Psychophysics Humans Visual Pathways Vision, Ocular Nerve Net Photic Stimulation Visual Perception Neural Networks, Computer Brain Models, Neurological
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Cortical Transformation of Spatial Processing for Solving the Cocktail Party Problem: A Computational Model(1,2,3).

eNeuro Feb 2, 2016
In multisource, "cocktail party" sound environments, human and animal auditory systems can use spatial cues to effectively separate and follow one source of sound over competing sources. While mechanisms to extract spatial cues such as interaural tim...
Auditory Cortex Sound Localization Models, Neurological Discrimination, Psychological Humans Spatial Processing Action Potentials Neural Networks, Computer Neurons Animals Acoustic Stimulation
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A Simple fMRI Compatible Robotic Stimulator to Study the Neural Mechanisms of Touch and Pain.

Annals of biomedical engineering Feb 1, 2016
This paper presents a simple device for the investigation of the human somatosensory system with functional magnetic imaging (fMRI). PC-controlled pneumatic actuation is employed to produce innocuous or noxious mechanical stimulation of the skin. Sti...
Models, Neurological Robotics Pain Touch Humans Magnetic Resonance Imaging
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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...
Support Vector Machine Humans Magnetic Resonance Imaging Prognosis Models, Neurological Female Multivariate Analysis Nerve Net Male Case-Control Studies Tourette Syndrome Adolescent Child
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Machine Learning Capabilities of a Simulated Cerebellum.

IEEE transactions on neural networks and learning systems Jan 26, 2016
This paper describes the learning and control capabilities of a biologically constrained bottom-up model of the mammalian cerebellum. Results are presented from six tasks: 1) eyelid conditioning; 2) pendulum balancing; 3) proportional-integral-deriva...
Postural Balance Neurons Cerebellum Reinforcement, Psychology Computer Simulation Pattern Recognition, Physiological Animals Humans Conditioning, Eyelid Models, Neurological Neural Networks, Computer Machine Learning
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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...
Language Development Auditory Perception Motor Neurons Lip Jaw Laryngeal Muscles Dopamine Machine Learning Nerve Net Humans Computer Simulation Phonetics Neuronal Plasticity Neural Networks, Computer Feedback Motor Cortex Models, Neurological Infant Reward
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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...
Humans Machine Learning Image Interpretation, Computer-Assisted Rest Nerve Net Male Brain Cognitive Dysfunction Female Magnetic Resonance Imaging Aged Models, Neurological
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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...
Nerve Net Humans Basal Ganglia Neural Networks, Computer Models, Neurological Parkinson Disease Deep Brain Stimulation
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