AIMC Topic: Nerve Net

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Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps.

Neural computation May 21, 2019
With the development of neural recording technology, it has become possible to collect activities from hundreds or even thousands of neurons simultaneously. Visualization of neural population dynamics can help neuroscientists analyze large-scale neur...
Computers Pattern Recognition, Automated Nerve Net Humans Artificial Intelligence Algorithms
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A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity.

Neural computation May 21, 2019
Reservoir computing is a biologically inspired class of learning algorithms in which the intrinsic dynamics of a recurrent neural network are mined to produce target time series. Most existing reservoir computing algorithms rely on fully supervised l...
Reward Nerve Net Reinforcement, Psychology Humans Neural Networks, Computer Computer Simulation Neuronal Plasticity Models, Neurological Neurons
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A self-organized recurrent neural network for estimating the effective connectivity and its application to EEG data.

Computers in biology and medicine May 15, 2019
OBJECTIVE: Effective connectivity is an important notion in neuroscience research, useful for detecting the interactions between regions of the brain.
Neural Networks, Computer Neural Pathways Humans Electroencephalography Nerve Net Brain Electronic Data Processing Models, Neurological
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nCREANN: Nonlinear Causal Relationship Estimation by Artificial Neural Network; Applied for Autism Connectivity Study.

IEEE transactions on medical imaging May 13, 2019
Quantifying causal (effective) interactions between different brain regions are very important in neuroscience research. Many conventional methods estimate effective connectivity based on linear models. However, using linear connectivity models may o...
Humans Neural Networks, Computer Autism Spectrum Disorder Electroencephalography Signal Processing, Computer-Assisted Nonlinear Dynamics Nerve Net Brain Computer Simulation Child
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A semi-blind online dictionary learning approach for fMRI data.

Journal of neuroscience methods May 11, 2019
BACKGROUND: Online dictionary learning (ODL) has been applied to extract brain networks from functional magnetic resonance imaging (fMRI) data in recent year. Moreover, the supervised dictionary learning (SDL) that fixed the task stimulus curves as p...
Male Female Image Processing, Computer-Assisted Young Adult Adult Magnetic Resonance Imaging Humans Psychomotor Performance Machine Learning Nerve Net Computer Simulation Brain Mapping Principal Component Analysis
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Electrical stimulation in a spiking neural network model of monkey superior colliculus.

Progress in brain research May 10, 2019
The superior colliculus (SC) generates saccades by recruiting a population of cells in its topographically organized motor map. Supra-threshold electrical stimulation in the SC produces a normometric saccade with little effect of the stimulation para...
Haplorhini Electric Stimulation Electrophysiological Phenomena Neural Networks, Computer Animals Biomechanical Phenomena Saccades Models, Neurological Superior Colliculi Nerve Net
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All-optical spiking neurosynaptic networks with self-learning capabilities.

Nature May 8, 2019
Software implementations of brain-inspired computing underlie many important computational tasks, from image processing to speech recognition, artificial intelligence and deep learning applications. Yet, unlike real neural tissue, traditional computi...
Models, Neurological Action Potentials Unsupervised Machine Learning Neural Networks, Computer Computers Computer Systems Synapses Pattern Recognition, Automated Nerve Net Photons Supervised Machine Learning Neurons Biomimetics
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Implications of asymmetric neural activity patterns in the basal ganglia outflow in the integrative neural network model for cervical dystonia.

Progress in brain research Apr 30, 2019
Cervical dystonia (CD) is characterized by abnormal twisting and turning of the head with associated head oscillations. It is the most common form of dystonia, which is a third most common movement disorder. Despite frequent occurrence there is pauci...
Nerve Net Torticollis Humans Adult Models, Neurological Electrophysiological Phenomena Neural Networks, Computer Deep Brain Stimulation Globus Pallidus Machine Learning
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Diffusion tensor tractography in children with sensory processing disorder: Potentials for devising machine learning classifiers.

NeuroImage. Clinical Apr 24, 2019
The "sensory processing disorder" (SPD) refers to brain's inability to organize sensory input for appropriate use. In this study, we determined the diffusion tensor imaging (DTI) microstructural and connectivity correlates of SPD, and apply machine l...
Diffusion Tensor Imaging Sensation Disorders Corpus Callosum Child Image Processing, Computer-Assisted Nerve Net Machine Learning Prospective Studies Humans Female Male
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Microstimulation in a spiking neural network model of the midbrain superior colliculus.

PLoS computational biology Apr 12, 2019
The midbrain superior colliculus (SC) generates a rapid saccadic eye movement to a sensory stimulus by recruiting a population of cells in its topographically organized motor map. Supra-threshold electrical microstimulation in the SC reveals that the...
Humans Neural Networks, Computer Animals Action Potentials Neurons Saccades Computational Biology Models, Neurological Superior Colliculi Nerve Net Haplorhini Electric Stimulation
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