AIMC Topic: Models, Neurological

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Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks.

Brain and cognition Mar 26, 2018
The accurate diagnosis and assessment of neurodegenerative disease and traumatic brain injuries (TBI) remain open challenges. Both cause cognitive and functional deficits due to focal axonal swellings (FAS), but it is difficult to deliver a prognosis...
Cognition Disorders Cognition Brain Injuries, Traumatic Neurodegenerative Diseases Neurons Models, Neurological Humans Neural Networks, Computer Brain
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Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks.

Proceedings of the National Academy of Sciences of the United States of America Mar 15, 2018
Network oscillations across and within brain areas are critical for learning and performance of memory tasks. While a large amount of work has focused on the generation of neural oscillations, their effect on neuronal populations' spiking activity an...
Computer Simulation Learning Animals Neural Networks, Computer Action Potentials Neurons Nerve Net Mice Models, Neurological Ion Channels Rhodopsin
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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, ...
Cerebral Cortex Nerve Net Models, Neurological Action Potentials Humans Neural Networks, Computer
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Multineuron spike train analysis with R-convolution linear combination kernel.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2018
A spike train kernel provides an effective way of decoding information represented by a spike train. Some spike train kernels have been extended to multineuron spike trains, which are simultaneously recorded spike trains obtained from multiple neuron...
Models, Neurological Neural Networks, Computer Action Potentials Neurons Brain Animals
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Classifying dynamic transitions in high dimensional neural mass models: A random forest approach.

PLoS computational biology Mar 2, 2018
Neural mass models (NMMs) are increasingly used to uncover the large-scale mechanisms of brain rhythms in health and disease. The dynamics of these models is dependent upon the choice of parameters, and therefore it is crucial to be able to understan...
Humans Computational Biology Models, Neurological Neurons Brain Computer Simulation Neural Networks, Computer
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Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization.

Scientific reports Feb 28, 2018
The brain represents visual objects with topographic cortical patterns. To address how distributed visual representations enable object categorization, we established predictive encoding models based on a deep residual network, and trained them to pr...
Models, Neurological Photic Stimulation Visual Cortex Humans Time Factors Neural Networks, Computer Magnetic Resonance Imaging
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Biologically Inspired Intensity and Depth Image Edge Extraction.

IEEE transactions on neural networks and learning systems Feb 20, 2018
In recent years, artificial vision research has moved from focusing on the use of only intensity images to include using depth images, or RGB-D combinations due to the recent development of low-cost depth cameras. However, depth images require a lot ...
Models, Neurological Action Potentials Pattern Recognition, Automated Depth Perception Neurons Neural Networks, Computer Virtual Reality Image Processing, Computer-Assisted Visual Pathways Humans
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Neural electrical activity and neural network growth.

Neural networks : the official journal of the International Neural Network Society Feb 9, 2018
The development of central and peripheral neural system depends in part on the emergence of the correct functional connectivity in its input and output pathways. Now it is generally accepted that molecular factors guide neurons to establish a primary...
Neurons Neurogenesis Neural Networks, Computer Models, Neurological
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Globally fixed-time synchronization of coupled neutral-type neural network with mixed time-varying delays.

PloS one Jan 25, 2018
This paper mainly studies the globally fixed-time synchronization of a class of coupled neutral-type neural networks with mixed time-varying delays via discontinuous feedback controllers. Compared with the traditional neutral-type neural network mode...
Nonlinear Dynamics Feedback Neural Networks, Computer Time Factors Computer Simulation Models, Neurological
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Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening.

PLoS computational biology Jan 8, 2018
This work introduces a number of algebraic topology approaches, including multi-component persistent homology, multi-level persistent homology, and electrostatic persistence for the representation, characterization, and description of small molecules...
Protein Interaction Mapping Humans Models, Neurological Machine Learning Ligands Area Under Curve Proteins Nucleic Acids Algorithms Molecular Dynamics Simulation Databases, Protein Static Electricity Neural Networks, Computer Protein Binding Computational Biology
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