Sentences with phrase «using brain data»

Using brain data crowdsourced from 22 epilepsy patients with implanted electrodes, researchers from the University of Pennsylvania led by Danielle Bassett have developed a series of algorithms that can predict where in the brain a seizure will originate and which groups of neurons it will likely spread to as it grows.

«We were able to physically measure and quantify that process using brain data.»

Not exact matches

Klaff explains that the presenter uses his or her neocortex, part of the brain that can handle complex reasoning and data analysis.

BenevolentAI created a bioscience machine «brain» that uses algorithms and data to locate the cause of diseases and generate insights into them that humans otherwise couldn't.

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.

You don't use correct reasoning because you have caused your brain to malfunction by continually using two sets of rules to evaluate incoming data.

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).

Therapy consists in using associational techniques to lead the conscious ego into those parts of the brain where the data of the renegade traces can be consciously encountered in positive prehensions.

it will make you wonder if there is a spirit beyond our bodies,,, or all of it is in the brain itself... I see how hard it is for stroke victims to return to their old self after the brain has been damaged... and I wondered sometimes if the person I knew was even in the body anymore... It is a question I do not have a firm answer for... but I like to think the spirit exists and just can not use the brain anymore... it is like a computer interface that is damaged and the body has failed to repair itself... Our brains can reroute data, or rebuild some damage..

Interestingly, just days before the NFL's decision to suspend the use of impact sensors was announced, my local paper, The Boston Globe, came out with a powerful editorial in which it urged college, high school, and recreational leagues in contact and collision sports to consider mandating use of impact sensors, or, at the very least, experimenting with the technology, to alert the sideline personnel to hits that might cause concussion, and to track data on repetitive head impacts, which, a growing body of peer - reviewed evidence suggests, may result, over time, in just as much, if not more, damage to an athlete's brain, as a single concussive blow, and may even predispose an athlete to concussion.

While researchers continue to look for the concussion «holy grail» in the form of specific impact thresholds above which concussions are highly likely and / or the number of impacts or the magnitude of impacts per week or per season that substantially increase the risk of long term brain injury, impact sensor technology is available right now to do what we can to reduce total brain trauma by using impact data to identify kids who need more coaching so they can learn how to tackle and block without using their helmets.

In a 2012 study, [8] researchers at the University of Rochester Medical Center (URMC) measured before - and - after data from the brains of a group of nine high school football and hockey players using an advanced form of imaging similar to an MRI called diffusion tensor imaging (DTI).

The entire discussion is brain - food for any political junkie, but one segment particularly jumped out at me: David Plouffe gave an extended description of how the Obama campaign used volunteer - produced data to create computer - generated models of states — down to segments of a media market — to determine how the campaign was doing at any given moment.

Researchers used health data gathered during recent personal interviews with the subjects, and also analyzed data from MRI scans showing the current state of the subjects» brain cortices.

The research team simplified this data using voxel - based morphometry, or VBM — a technique that breaks the brain into 3 - D pixels and permits rigorous statistical comparison of brain tissue density among people.

Both experiments show how easily the brain can be tricked or how it «cheats,» he says, using memory and prior experiences to fill in data gaps.

Using data from National Database for Autism Research (NDAR), lead author Kristina Denisova, PhD, Assistant Professor of Psychiatry at CUMC and Fellow at the Sackler Institute, studied 71 high and low risk infants who underwent two functional Magnetic Resonance imaging brain scans either at 1 - 2 months or at 9 - 10 months: one during a resting period of sleep and a second while native language was presented to the infants.

Brains of individuals who died with Huntington's, Parkinson's or no neurological condition were analyzed using sequencing technology that provides a data readout of the activity of all genes in the genome.

Using data gathered from the sessions, Grassi's team discovered increased synaptic plasticity in the hippocampus, a region of the brain critical to memory processing and storage.

In a new study published in The Quarterly Review of Biology, Dr. Karen Hardy and her team bring together archaeological, anthropological, genetic, physiological and anatomical data to argue that carbohydrate consumption, particularly in the form of starch, was critical for the accelerated expansion of the human brain over the last million years, and coevolved both with copy number variation of the salivary amylase genes and controlled fire use for cooking.

Using data from brain imaging techniques that enable visualising the brain's activity, a neuroscientist at the University of Geneva (UNIGE) and a Parisian ENT surgeon have managed to decipher brain reorganisation processes at work when people start to lose their hearing, and thus predict the success or failure of a cochlear implant among people who have become profoundly deaf in their adult life.

«We used the Allen Human Brain Atlas data to quantify how consistent the patterns of expression for various genes are across human brains, and to determine the importance of the most consistent and reproducible genes for brain function.&rBrain Atlas data to quantify how consistent the patterns of expression for various genes are across human brains, and to determine the importance of the most consistent and reproducible genes for brain function.&rbrain function.»

Mammalian brain growth is studied in this paper which shows that a widely accepted hypothesis of how the mammalian brain proportions grow and evolve does not work, using a novel method of micro-CT scan that allows the first fast data acquisition of soft tissue growth in tiny mammals.

The plan is to use the data from these studies to create a comprehensive, three - dimensional simulation of a mammalian brain.

In work showing the potential to use a brain - computer interface and virtual avatar to treat people with gait disabilities, researchers collected data from eight healthy subjects, all of whom participated in three trials involving walking on a treadmill while watching an avatar.

The researchers also were able to use models trained with data from one human subject to predict and decode the brain activity of a different human subject, a process called cross-subject encoding and decoding.

Laksari and Kurt's idea was to use that data, along with similar data from NFL players, as inputs to a computer model of the brain.

«All too often, in fact, data from the brain are analysed using linear methods, but the brain is a complex system that produce signals that are non-linear and dynamic in nature and analysing with these linear methods results in loss of information.»

Using taxidermy data, biologists determined that gun - killed birds have smaller brains than birds that died in other ways.

Using two data sets of functional MRI brain scans from more than 350 adult and child siblings during resting state, Fair and colleagues applied an innovative technique to characterize functional connectivity and machine learning to successfully identify siblings based on their connectotype.

A computer model uses this data to estimate neurotransmitter reuptake across the brain.

Using CT scans, the scientists painstakingly mapped the affected brain regions of each participant, then pooled the data to build a collective map of the brain.

«Incidence of brain injury in babies estimated for first time using routine NHS data.»

The Georgia Tech team used the data to identify which parts of the brain worked in unison.

Muotri noted that the research represents one of the first efforts to use iPSCs and brain in - a-dish technology to generate novel insights about a disease process and not simply replicate data from other models.

The Kalman filter algorithm, named after its coinventor, mathematician Rudolph Kalman, is used to find optimal and integrated solutions from noisy or unreliable data whether in GPS or our brains.

Using data from a large public brain tumor database called REMBRANDT, the researchers confirmed that patients with lower levels of SND1 survived longer than those with elevated SND1 expression.

The chip does not penetrate the brain tissue and uses wireless powering and data telemetry.

It is the first time we have used these methods to look at brain imaging data and it has given some fascinating insight into how psychedelic drugs expand the mind.

In late 2012 he finally founded Neural Bytes, which models human brain processing using data from neurophysiological and neuroimaging studies.

The investigators used the brain - imaging software to rapidly evaluate blood - flow data generated from incoming patients.

The researchers identified dysfunctional brain mechanisms of sustained attention using functional Magnetic Resonance Imaging data and complex modeling of fMRI signals.

Drawing on ADNI data, which helped link Alzheimer's disease to a common gene called CLU, researchers used this imaging technique in other people to discover that the brain wiring of gene carriers is impaired decades before the disease typically strikes.

Dr. Miller enumerated two factors that set this model apart from others: its use of a large data set based on the National Trauma Data Bank, and its use of isolated brain injury only, again which the NTDB enables because it is such a large data data set based on the National Trauma Data Bank, and its use of isolated brain injury only, again which the NTDB enables because it is such a large data Data Bank, and its use of isolated brain injury only, again which the NTDB enables because it is such a large data data set.

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

Using data from 58 of the 59 infants, the algorithm picked out the brain connections that differ between children with and without autism, and that track with scores on any of the behavioral tests.

The scanner data suggests that the vmPFC integrates information from other brain areas and uses this information to calculate an overall value.

The algorithm then used the brain activity data from the 59th infant to predict whether she would later be diagnosed with autism.

Researchers examined data from a total of 1,577 participants (aged 12 — 21 years, 57 % male / 43 % female), that included information on cannabis use, brain imaging results, and polygenic risk score for schizophrenia.

Using this mouse - tracking software Freeman developed, the millimeters of movement of a test subject's mouse cursor can be linked with brain - imaging data to discover otherwise hidden impacts on specific brain processes.