AIMC Topic: Nerve Net

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Electroencephalographic derived network differences in Lewy body dementia compared to Alzheimer's disease patients.

Scientific reports Mar 15, 2018
Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) require differential management despite presenting with symptomatic overlap. Currently, there is a need of inexpensive DLB biomarkers which can be fulfilled by electroencephalography (EEG)....
Electroencephalography Alzheimer Disease Lewy Body Disease Aged Male Diagnosis, Differential Humans Neural Networks, Computer Female Nerve Net
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Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning.

NeuroImage. Clinical Mar 15, 2018
Mild traumatic brain injury (mTBI) can result in symptoms that affect a person's cognitive and social abilities. Improvements in diagnostic methodologies are necessary given that current clinical techniques have limited accuracy and are solely based ...
Nerve Net Brain Concussion Magnetic Resonance Imaging Brain Injuries Cerebellum Humans Machine Learning Brain Male Middle Aged Female Adult
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Stabilized supralinear network can give rise to bistable, oscillatory, and persistent activity.

Proceedings of the National Academy of Sciences of the United States of America Mar 12, 2018
A hallmark of cortical circuits is their versatility. They can perform multiple fundamental computations such as normalization, memory storage, and rhythm generation. Yet it is far from clear how such versatility can be achieved in a single circuit, ...
Models, Neurological Action Potentials Cerebral Cortex Nerve Net Humans Neural Networks, Computer
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Multiple Kernel Learning Model for Relating Structural and Functional Connectivity in the Brain.

Scientific reports Feb 19, 2018
A challenging problem in cognitive neuroscience is to relate the structural connectivity (SC) to the functional connectivity (FC) to better understand how large-scale network dynamics underlying human cognition emerges from the relatively fixed SC ar...
Cognition Humans Connectome Neural Networks, Computer Nerve Net Brain
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The modulation of neural gain facilitates a transition between functional segregation and integration in the brain.

eLife Jan 29, 2018
Cognitive function relies on a dynamic, context-sensitive balance between functional integration and segregation in the brain. Previous work has proposed that this balance is mediated by global fluctuations in neural gain by projections from ascendin...
Brain Computer Simulation Cognition Neurons Nerve Net Neural Networks, Computer
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A neural network model for the orbitofrontal cortex and task space acquisition during reinforcement learning.

PLoS computational biology Jan 4, 2018
Reinforcement learning has been widely used in explaining animal behavior. In reinforcement learning, the agent learns the value of the states in the task, collectively constituting the task state space, and uses the knowledge to choose actions and a...
Prefrontal Cortex Cognition Magnetic Resonance Imaging Neural Networks, Computer Learning Animals Probability Markov Chains Electrophysiology Nerve Net Models, Neurological Decision Making Neurons Humans Reinforcement, Psychology Frontal Lobe Spatial Learning
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Metric learning with spectral graph convolutions on brain connectivity networks.

NeuroImage Dec 24, 2017
Graph representations are often used to model structured data at an individual or population level and have numerous applications in pattern recognition problems. In the field of neuroscience, where such representations are commonly used to model str...
Humans Neural Networks, Computer Databases, Factual Autism Spectrum Disorder Datasets as Topic Image Processing, Computer-Assisted Connectome Models, Theoretical Nerve Net Magnetic Resonance Imaging
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Supervised learning in spiking neural networks with FORCE training.

Nature communications Dec 20, 2017
Populations of neurons display an extraordinary diversity in the behaviors they affect and display. Machine learning techniques have recently emerged that allow us to create networks of model neurons that display behaviors of similar complexity. Here...
Vocalization, Animal Models, Neurological Learning Supervised Machine Learning Nerve Net Animals Songbirds
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Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network.

Computational and mathematical methods in medicine Dec 14, 2017
High-order functional connectivity networks are rich in time information that can reflect dynamic changes in functional connectivity between brain regions. Accordingly, such networks are widely used to classify brain diseases. However, traditional me...
False Positive Reactions Neural Pathways Young Adult Support Vector Machine Nerve Net Brain Neurology Middle Aged Magnetic Resonance Imaging Adult Humans Female Depressive Disorder, Major Brain Mapping Male Reproducibility of Results Machine Learning Adolescent Algorithms
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Generative models for network neuroscience: prospects and promise.

Journal of the Royal Society, Interface Nov 29, 2017
Network neuroscience is the emerging discipline concerned with investigating the complex patterns of interconnections found in neural systems, and identifying principles with which to understand them. Within this discipline, one particularly powerful...
Bioengineering Neurosciences Animals Systems Biology Nerve Net Humans Neural Networks, Computer
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