Results 71 to 80 of about 2,193,097 (217)

Neural networks in psychiatry

European Neuropsychopharmacology, 2013
Over the past three decades numerous imaging studies have revealed structural and functional brain abnormalities in patients with neuropsychiatric diseases. These structural and functional brain changes are frequently found in multiple, discrete brain areas and may include frontal, temporal, parietal and occipital cortices as well as subcortical brain ...
Edward T. Bullmore, Hilleke E. Hulshoff Pol   +1 more
openaire   +3 more sources

Hypergraph Neural Networks

, 2019
In this paper, we present a hypergraph neural networks (HGNN) framework for data representation learning, which can encode high-order data correlation in a hypergraph structure.
Feng, Yifan, Gao, Yue, Ji, Rongrong, You, Haoxuan, Zhang, Zizhao   +4 more
core   +1 more source

A supplemental receiver coil recovers frontal and subcortical functional magnetic resonance imaging signals under half-volume head coil configuration

Neuroscience Research
The need for multisensory devices such as virtual reality and touch during functional magnetic resonance imaging (fMRI) is increasing. However, implementation of those devices requires a large presentation system, and the face-covering receiver coil ...
Yucong Yuan, Toshiko Tanaka, Daisuke Nishiyama, Yasuhiro Shimada, Ichiro Fujimoto, Tomoki Haji, Atsushi Wada, Masahiko Haruno   +7 more
doaj   +1 more source

Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures

Communications Biology
The variability in brain function forms the basis for our uniqueness. Prior studies indicate smaller individual differences and larger inter-subject correlation (ISC) in sensorimotor areas than in the association cortex.
Tomoya Nakai, Rieko Kubo, Shinji Nishimoto   +2 more
doaj   +1 more source

Efficient musculoskeletal annotation using free-form deformation

Scientific Reports
Traditionally, constructing training datasets for automatic muscle segmentation from medical images involved skilled operators, leading to high labor costs and limited scalability.
Norio Fukuda, Shoji Konda, Jun Umehara, Masaya Hirashima   +3 more
doaj   +1 more source

Non-attracting Regions of Local Minima in Deep and Wide Neural Networks

, 2020
Understanding the loss surface of neural networks is essential for the design of models with predictable performance and their success in applications.
Petzka, Henning, Sminchisescu, Cristian
core  

Variability in neural networks

eLife, 2018
Experiments on neurons in the heart system of the leech reveal why rhythmic behaviors differ between individuals.
Daniel R Kick, David J Schulz
openaire   +4 more sources

Structural and functional features characterizing the brains of individuals with higher controllability of motor imagery

Scientific Reports
Motor imagery is a higher-order cognitive brain function that mentally simulates movements without performing the actual physical one. Although motor imagery has attracted the interest of many researchers, and mental practice utilizing motor imagery has ...
Tomoya Furuta, Tomoyo Morita, Gen Miura, Eiichi Naito   +3 more
doaj   +1 more source

Generating Neural Networks with Neural Networks

, 2018
Hypernetworks are neural networks that generate weights for another neural network. We formulate the hypernetwork training objective as a compromise between accuracy and diversity, where the diversity takes into account trivial symmetry transformations of the target network. We explain how this simple formulation generalizes variational inference.
openaire   +2 more sources

Associative Neural Network

Neural Processing Letters, 2002
An associative neural network (ASNN) is an ensemble-based method inspired by the function and structure of neural network correlations in brain. The method operates by simulating the short- and long-term memory of neural networks. The long-term memory is represented by ensemble of neural network weights, while the short-term memory is stored as a pool ...
openaire   +5 more sources