Sentences with phrase «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

Twitter today is taking another step to build up its machine learning muscle, and also potentially to improve how it delivers photos and videos across its apps: the company is acquiring Magic Pony Technology, a company based out of London that has developed techniques of using neural networks (systems that essentially are designed to think like human brains) and machine learning to provide expanded data for images — used, for example, to enhance a picture or video taken on a mobile phone; or to help develop graphics for virtual reality or augmented reality applications.

Neural networks simulate brain activity by trying to make connections between different data points and using those connections to create original «ideas» (but think of those ideas as crowd - sourced from a bunch of external sources).

A neural network is made of layers of small computing elements that process data in a way reminiscent of the brain's neurons.

To do so, a deep neural network automatically separates each of the speakers from the mixture, and compares each speaker with the neural data from the user's brain.

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.

We don't want brain and data drain from Africa to the U.S.» The biggest game - changer on the continent will be the Square Kilometer Array (SKA), the world's largest network of radio telescopes designed to survey the sky faster than any instrument before it.

«Measuring damage to brain networks may aid stroke treatment, predict recovery: Functional MRI scans provide crucial data for stroke patients.»

The processors — modeled after the brain's networks of neurons — are first trained by humans on actual translations and then let loose on new sets of data.

The network - based approach, which can combine individual patient brain data and computer simulation, heralds the possibility of a personalized approach to chronic pain treatment.»

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.

Scientists said the platform is part of LLNL's broader vision for countering emerging and existing threats, allows them to study the networks formed among various regions of the brain, and obtain timely, human - relevant data without animal or human testing.

$ 20 million for the National Science Foundation (NSF), to support research into the development of nanoscale probes that can record the activity of neural networks; information processing technology that can handle the flood of data generated by BRAIN research; and better understanding of the neural representation of thoughts, emotions, actions, and memories

Studies suggest that computer models called neural networks may learn to recognize patterns in data using the same algorithms as the human brain

The researchers examined data from the Organ Procurement and Transplantation Network (OPTN) / United Network for Organ Sharing (UNOS), the nation's organ transplant network, on all reported «eligible deaths,» — defined as potential brain - dead organ donors age 70 years or less without any medical conditions precluding donation — from 2008 tNetwork (OPTN) / United Network for Organ Sharing (UNOS), the nation's organ transplant network, on all reported «eligible deaths,» — defined as potential brain - dead organ donors age 70 years or less without any medical conditions precluding donation — from 2008 tNetwork for Organ Sharing (UNOS), the nation's organ transplant network, on all reported «eligible deaths,» — defined as potential brain - dead organ donors age 70 years or less without any medical conditions precluding donation — from 2008 tnetwork, on all reported «eligible deaths,» — defined as potential brain - dead organ donors age 70 years or less without any medical conditions precluding donation — from 2008 to 2013.

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.

They coordinate and integrate the flow of data so that brain networks dedicated to specific roles, such as vision and movement, can focus on their jobs.

The research team is integrating the behavioral data with functional magnetic resonance imaging, or fMRI, to identify which brain networks may be responsible for the rhythm perception deficit.

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.

Researchers at Rice University, Baylor College of Medicine and their colleagues used data from such maps to develop a statistical approach that reveals details about brains» internal networks.

The researchers are working to untangle these networks to determine how the brain infers solutions to problems without being overwhelmed by data.

Our data reflects the level of efficient organization of the functional brain network during a resting state and not the efficiency of functional connectivity between brain regions during the performance of specific cognitive tasks that enter into the IQ score.

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.

«The new data presented here suggest that changes which lead to criminal behaviour occur with dysfunction of specific networks — wiring pathways that connect specific parts of the brain.

Such techniques have been applied to fMRI data to examine dynamic reconfiguration of brain network organization [17].

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.

why not ask them to develop an AI with a neutral network so you can just have data packets of e-books sent directly to your brain with a cyber jack so you don't even have to read anymore.

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.

Finally, 10 - minute EEG data from the auditory oddball task for each subject were extracted for spectral power and brain functional network analyses below.