Sentences with phrase «in our brain network data»

Interestingly, despite the large number of nodes in our brain network data, the number of major modules did not change dramatically from the previously reported brain network modularity [9]--[13], [29].

Not exact matches

A neural network is made of layers of small computing elements that process data in a way reminiscent of the brain's neurons.
Artificial neural networks, computer programs that mimic the human brain, are great at learning patterns and sequences, but so far they've been limited in their ability to solve complex reasoning problems that require storing and manipulating lots of data.
While the data showed that regions across the brain were involved in creative thought, Beaty said the evidence pointed to three subnetworks — the default mode network, the salience network and the executive control network — that appear to play key roles in creative thought.
Beaty and colleagues reanalyzed brain data from previous studies and found that, by simply measuring the strength of connections in these peoples» brain networks, they could estimate how original their ideas would be.
An international team of roughly 300 scientists known as the Enhancing Neuro Imaging Genetics through Meta Analysis (ENIGMA) Network pooled brain scans and genetic data worldwide to pinpoint genes that enhance or break down key brain regions in people from 33 countries.
Studies suggest that computer models called neural networks may learn to recognize patterns in data using the same algorithms as the human brain
Machine - learning systems — and a subset, deep - learning systems, which simulate complex neural networks in the human brain — derive their own rules after combing through large amounts of data.
Christopher Shallue of Google and Andrew Vanderburg at the University of Texas at Austin used a neural network — a type of machine learning that mimics the connections in a brain — to look for new planets in old Kepler data.
The researchers, who published their work in Cell today (April 12), designed their a neural network, a program modeled after the brain, using an approach called deep learning, which uses data to recognize patterns, form rules, and apply those rules to new information.
She uses a new ultra-fast microscopy technique to record the activity in the whole fly brain and works closely with theoretical neuroscientists to analyze the data and model network activity.
From the descriptive view on the data it seems that compared to sham, verum acupuncture tended to be associated with more activation in the basal ganglia, brain stem, cerebellum, and insula and more deactivation was seen in the so - called «default mode network» and limbic brain areas, such as the amygdala and the hippocampus.
Based on our synthesis of published anatomical and functional data in humans and nonhuman animals (see Materials and Methods), we hypothesized that the amygdala would parse into three subregions that each anchor a large - scale network of brain regions implicated in distinct processes of social cognition.
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