AIMC Topic: Models, Neurological

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Uncovering phase-coupled oscillatory networks in electrophysiological data.

Human brain mapping Apr 12, 2015
Phase consistent neuronal oscillations are ubiquitous in electrophysiological recordings, and they may reflect networks of phase-coupled neuronal populations oscillating at different frequencies. Because neuronal oscillations may reflect rhythmic mod...
Neural Networks, Computer Electroencephalography Phase Synchronization Models, Neurological Brain Waves Nerve Net Humans Electrocorticography
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Learning Receptive Fields and Quality Lookups for Blind Quality Assessment of Stereoscopic Images.

IEEE transactions on cybernetics Apr 9, 2015
Blind quality assessment of 3D images encounters more new challenges than its 2D counterparts. In this paper, we propose a blind quality assessment for stereoscopic images by learning the characteristics of receptive fields (RFs) from perspective of ...
Humans Machine Learning Algorithms Models, Neurological Computer Simulation Depth Perception Imaging, Three-Dimensional
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Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain.

IEEE transactions on neural networks and learning systems Apr 7, 2015
An usual task in large data set analysis is searching for an appropriate data representation in a space of fewer dimensions. One of the most efficient methods to solve this task is factor analysis. In this paper, we compare seven methods for Boolean ...
Neural Networks, Computer Algorithms Sensitivity and Specificity Humans Factor Analysis, Statistical Bayes Theorem Animals Electronic Data Processing Models, Neurological Noise
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Timescale separation in recurrent neural networks.

Neural computation Mar 31, 2015
Supervised learning in recurrent neural networks involves two processes: the neuron activity from which gradients are estimated and the process on connection parameters induced by these measurements. A problem such algorithms must address is how to b...
Animals Models, Neurological Neurons Computer Simulation Learning Humans Neural Networks, Computer Artificial Intelligence Algorithms
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Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior.

Neural networks : the official journal of the International Neural Network Society Mar 30, 2015
It is a fundamental question how our brain performs a given motor task in a real-time fashion with the slow sensorimotor system. Computational theory proposed an influential idea of feed-forward control, but it has mainly treated the case that the mo...
Brain Computer Simulation Nonlinear Dynamics Neural Networks, Computer Humans Behavior Algorithms Young Adult Male Mental Processes Models, Neurological Psychomotor Performance
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Robust stability of stochastic fuzzy delayed neural networks with impulsive time window.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2015
The urgent problem of impulsive moments which cannot be determined in advance brings new challenges beyond the conventional impulsive systems theory. In order to solve this problem, the novel concept of impulsive time window is proposed in this paper...
Fuzzy Logic Systems Theory Models, Neurological Stochastic Processes Neural Networks, Computer Nonlinear Dynamics Uncertainty Algorithms
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A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2015
Biological systems are capable of learning that certain stimuli are valuable while ignoring the many that are not, and thus perform feature selection. In machine learning, one effective feature selection approach is the least absolute shrinkage and s...
Bayes Theorem Reward Normal Distribution Algorithms Humans Online Systems Computer Simulation Machine Learning Models, Neurological
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Optimized Assistive Human-Robot Interaction Using Reinforcement Learning.

IEEE transactions on cybernetics Mar 24, 2015
An intelligent human-robot interaction (HRI) system with adjustable robot behavior is presented. The proposed HRI system assists the human operator to perform a given task with minimum workload demands and optimizes the overall human-robot system per...
Task Performance and Analysis Cybernetics Humans Artificial Intelligence Computer Simulation Models, Neurological Robotics
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Cognitive network neuroscience.

Journal of cognitive neuroscience Mar 24, 2015
Network science provides theoretical, computational, and empirical tools that can be used to understand the structure and function of the human brain in novel ways using simple concepts and mathematical representations. Network neuroscience is a rapi...
Humans Neural Networks, Computer Brain Cognition Models, Neurological Neural Pathways
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A spiking neural network based on the basal ganglia functional anatomy.

Neural networks : the official journal of the International Neural Network Society Mar 24, 2015
We introduce a spiking neural network of the basal ganglia capable of learning stimulus-action associations. We model learning in the three major basal ganglia pathways, direct, indirect and hyperdirect, by spike time dependent learning and consideri...
Humans Thalamus Models, Neurological Machine Learning Neural Networks, Computer Basal Ganglia Dopamine Learning Neural Pathways
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