AIMC Topic: Neural Networks, Computer

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Mapping Cellular Polarity Networks Using Mass Spectrometry-based Strategies.

Journal of molecular biology
Cell polarity is a vital biological process involved in the building, maintenance and normal functioning of tissues in invertebrates and vertebrates. Unsurprisingly, molecular defects affecting polarity organization and functions have a strong impact...

Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis.

NeuroImage
Dynamic Causal Modeling (DCM) is an advanced biophysical model which explicitly describes the entire process from experimental stimuli to functional magnetic resonance imaging (fMRI) signals via neural activity and cerebral hemodynamics. To conduct a...

Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net.

Medical image analysis
Automated quantitative estimation of spinal curvature is an important task for the ongoing evaluation and treatment planning of Adolescent Idiopathic Scoliosis (AIS). It solves the widely accepted disadvantage of manual Cobb angle measurement (time-c...

Improving resolution of MR images with an adversarial network incorporating images with different contrast.

Medical physics
PURPOSE: The routine MRI scan protocol consists of multiple pulse sequences that acquire images of varying contrast. Since high frequency contents such as edges are not significantly affected by image contrast, down-sampled images in one contrast may...

Deep convolutional neural network for segmentation of knee joint anatomy.

Magnetic resonance in medicine
PURPOSE: To describe and evaluate a new segmentation method using deep convolutional neural network (CNN), 3D fully connected conditional random field (CRF), and 3D simplex deformable modeling to improve the efficiency and accuracy of knee joint tiss...

Event-triggered H state estimation for semi-Markov jumping discrete-time neural networks with quantization.

Neural networks : the official journal of the International Neural Network Society
This paper investigates H state estimation problem for a class of semi-Markovian jumping discrete-time neural networks model with event-triggered scheme and quantization. First, a new event-triggered communication scheme is introduced to determine wh...

The temporal evolution of conceptual object representations revealed through models of behavior, semantics and deep neural networks.

NeuroImage
Visual object representations are commonly thought to emerge rapidly, yet it has remained unclear to what extent early brain responses reflect purely low-level visual features of these objects and how strongly those features contribute to later categ...

Encoding of Articulatory Kinematic Trajectories in Human Speech Sensorimotor Cortex.

Neuron
When speaking, we dynamically coordinate movements of our jaw, tongue, lips, and larynx. To investigate the neural mechanisms underlying articulation, we used direct cortical recordings from human sensorimotor cortex while participants spoke natural ...

Efficient coding matters in the organization of the early visual system.

Neural networks : the official journal of the International Neural Network Society
Individual areas in the brain are organized into a hierarchical network as a result of evolution. Previous work indicated that the receptive fields (RFs) of individual areas have been evolved to favor metabolically efficient neural codes. In this pap...

Coupled convolution layer for convolutional neural network.

Neural networks : the official journal of the International Neural Network Society
We propose a coupled convolution layer comprising multiple parallel convolutions with mutually constrained filters. Inspired by biological human vision mechanism, we constrain the convolution filters such that one set of filter weights should be geom...