AIMC Topic: Models, Neurological

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Distributed representations of action sequences in anterior cingulate cortex: A recurrent neural network approach.

Psychonomic bulletin & review Feb 1, 2018
Anterior cingulate cortex (ACC) has been the subject of intense debate over the past 2 decades, but its specific computational function remains controversial. Here we present a simple computational model of ACC that incorporates distributed represent...
Neurons Motivation Goals Humans Gyrus Cinguli Neural Networks, Computer Animals Models, Neurological
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Speech emotion recognition based on brain and mind emotional learning model.

Journal of integrative neuroscience Jan 1, 2018
Speech emotion recognition is a challenging obstacle to enabling communication between humans and machines. The present study introduces a new model of speech emotion recognition based on the relationship between the human brain and mind. According t...
Computer Simulation Learning Emotions Models, Neurological Humans Neural Networks, Computer Machine Learning Brain Speech Perception Pattern Recognition, Physiological Memory, Long-Term Memory, Short-Term Pattern Recognition, Automated Models, Psychological
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Relative wave energy-based adaptive neuro-fuzzy inference system for estimation of the depth of anaesthesia.

Journal of integrative neuroscience Jan 1, 2018
The advancement in medical research and intelligent modeling techniques has lead to the developments in anaesthesia management. The present study is targeted to estimate the depth of anaesthesia using cognitive signal processing and intelligent model...
Signal Processing, Computer-Assisted Analgesics Brain Waves Statistics, Nonparametric Models, Neurological Dose-Response Relationship, Drug Electroencephalography Brain Female Aged Humans Adult Male Middle Aged Time Factors Fuzzy Logic
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Competitive Spiking Neural P Systems With Rules on Synapses.

IEEE transactions on nanobioscience Dec 1, 2017
This paper proposes an extension of spiking neural P systems with rules on synapses (SNP-RS systems) working in competitive strategy, called competitive SNP-RS (CSNP-RS systems). In CSNP-RS systems, the spikes are viewed as a kind of competitive reso...
Models, Neurological Action Potentials Synapses Computers, Molecular Neural Networks, Computer Computer Simulation
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A biologically inspired neurocomputational model for audiovisual integration and causal inference.

The European journal of neuroscience Nov 1, 2017
Recently, experimental and theoretical research has focused on the brain's abilities to extract information from a noisy sensory environment and how cross-modal inputs are processed to solve the causal inference problem to provide the best estimate o...
Visual Perception Auditory Perception Illusions Brain Models, Neurological Synapses Humans Neural Networks, Computer
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A Rotational Motion Perception Neural Network Based on Asymmetric Spatiotemporal Visual Information Processing.

IEEE transactions on neural networks and learning systems Nov 1, 2017
All complex motion patterns can be decomposed into several elements, including translation, expansion/contraction, and rotational motion. In biological vision systems, scientists have found that specific types of visual neurons have specific preferen...
Motion Perception Neural Networks, Computer Computer Simulation Animals Models, Neurological Electronic Data Processing Photic Stimulation Visual Perception Humans
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What is consciousness, and could machines have it?

Science (New York, N.Y.) Oct 27, 2017
The controversial question of whether machines may ever be conscious must be based on a careful consideration of how consciousness arises in the only physical system that undoubtedly possesses it: the human brain. We suggest that the word "consciousn...
Brain Computer Simulation Models, Neurological Robotics Consciousness Humans Machine Learning
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Distributed Intrinsic Functional Connectivity Patterns Predict Diagnostic Status in Large Autism Cohort.

Brain connectivity Oct 1, 2017
Diagnosis of autism spectrum disorder (ASD) currently relies on behavioral observations because brain markers are unknown. Machine learning approaches can identify patterns in imaging data that predict diagnostic status, but most studies using functi...
Humans Machine Learning Algorithms Cohort Studies Child Young Adult Magnetic Resonance Imaging Brain Mapping Autism Spectrum Disorder Adult Models, Neurological Connectome Brain Male Female Adolescent
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Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.

Neurorehabilitation and neural repair Aug 1, 2017
BACKGROUND: Robots that physically assist movement are increasingly used in rehabilitation therapy after stroke, yet some studies suggest robotic assistance discourages effort and reduces motor learning.
Paresis Motor Activity Video Games Stroke Rehabilitation Motivation Fingers Movement Neuronal Plasticity Male Humans Models, Neurological Middle Aged Music Learning Robotics Recovery of Function Treatment Outcome Double-Blind Method Female Follow-Up Studies Stroke Exercise Therapy
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[Computational neuroanatomy and microstructure imaging using magnetic resonance imaging].

Der Nervenarzt Aug 1, 2017
BACKGROUND: Current computational neuroanatomy focuses on morphological measurements of the brain using standard magnetic resonance imaging (MRI) techniques. In comparison quantitative MRI (qMRI) typically provides a better tissue contrast and also g...
Biophysical Phenomena Neuroanatomy Image Interpretation, Computer-Assisted Quantitative Structure-Activity Relationship White Matter Humans Imaging, Three-Dimensional Artificial Intelligence Magnetic Resonance Imaging Brain Models, Neurological Brain Mapping
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