Sentences with phrase «on brain network»

As he later said at a conference on brain network dynamics, «It turns out that this is yet one more signal in the biological world whose «noise» is highly important and is very information rich.»

«As far as we know, this is one of the first studies of dyslexia to examine differences in functional connectivity across the whole brain, shedding light on the brain networks that crucially support the complex task of reading,» added Finn.

Alzheimer's wreaks havoc on these brain networks, causing disruptions that occasionally escalate into epileptic seizures.

Not exact matches

According to a Lancet Journal study on doodling in 2011, scribbling engages «default networks» in the brain that would ordinarily go dormant without external stimuli to keep it active.

Computers designed to automatically spot objects in images are based on neural networks, software that loosely imitates how the human brain learns.

«In our current age, with its emphasis on personal branding, social - network marketing, clever retweets, and mobile accessibility, it's important to remember that in many fields there's still no substitute for hard brain work,» Newport says.

Research on neural networks shows that languages could be learned without specialized structures in the brain.

The startup's chip design «slots in perfectly with this Intel acquisition,» says CEO Naveen Rao, who worked on developing neural networks inspired by biological brains at Qualcomm (qcom) before co-founding Nervana in 2014.

As Schuback's car whipsawed into other vehicles, the fibers of her brain twisted and tore, wreaking havoc on the delicate network that keeps humans sentient and mobile.

It helps signals move faster around the neural network, and in two important areas of the brain, the frontal and temporal lobes, myelin levels increase with age, peaking on average around age 50 and in some people continuing to rise into their 60s.

At Thunderhill, teams tested two technological approaches: Systems based on so - called neural networks modeled after the human brain and those based on computer vision.

Furthermore, we found that in people who intentionally mind wander, two main brain networks broadly overlap each other: the default - mode network, which is active when focusing on information from memory, and the fronto - parietal network, which stabilizes our focus and inhibits irrelevant stimuli as part of our cognitive control system.»

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.

I was a journalist, writing story after story, day after day, focusing my brain on the words at hand even as scanners scratched and top - of - the - hour headlines blared on the competing networks.

But I still had the flatbread on my brain, and we had time before the movie (we saw Social Network — good movie!)

Adversity, especially in early childhood, has a powerful effect on the development of the intricate stress - response network within each of us that links together the brain, the immune system, and the endocrine system (the glands that produce and release stress hormones, including cortisol).

It looks like prenatal stress turns up the volume on your baby's HPA axis, programming the brain and hormone network that's responsible for managing stress.

Networking & Dinner 6:30 PM — 7:00 PM Welcome Reception Kevin de Leon, President pro Tem, California State Senate Debra McMannis, Director of Early Education & Support Division, California Department of Education 7:00 PM — 8:00 PM Keynote Address Dr. Patricia K. Kuhl, Co-Director, Institute for Learning & Brain Sciences & Bezos Family Foundation Endowed Chair of Early Childhood Education * Day 2 Tuesday February 23, 2016 8:00 AM — 9:00 AM Registration, Continental Breakfast, & Networking 9:00 AM — 9:15 AM Opening Remarks John Kim, Executive Director, Advancement Project Camille Maben, Executive Director, First 5 California 9:15 AM — 10:00 AM Morning Keynote David B. Grusky, Executive Director, Stanford's Center on Poverty & Inequality 10:00 AM — 11:00 AM

* Day 1 Monday, February 22, 2016 4:00 PM -5:00 PM Registration & Networking 5:00 PM — 6:00 PM Welcome Reception & Opening Remarks Kevin de Leon, President pro Tem, California State Senate Debra McMannis, Director of Early Education & Support Division, California Department of Education (invited) Karen Stapf Walters, Executive Director, California State Board of Education (invited) 6:00 PM — 7:00 PM Keynote Address & Dinner Dr. Patricia K. Kuhl, Co-Director, Institute for Learning & Brain Sciences * Day 2 Tuesday February 23, 2016 8:00 AM — 9:00 AM Registration, Continental Breakfast, & Networking 9:00 AM — 9:15 AM Opening Remarks John Kim, Executive Director, Advancement Project Camille Maben, Executive Director, First 5 California Tom Torlakson, State Superintendent of Public Instruction, California Department of Education 9:15 AM — 10:00 AM Morning Keynote David B. Grusky, Executive Director, Stanford's Center on Poverty & Inequality 10:00 AM — 11:00 AM Educating California's Young Children: The Recent Developments in Transitional Kindergarten & Expanded Transitional Kindergarten (Panel Discussion) Deborah Kong, Executive Director, Early Edge California Heather Quick, Principal Research Scientist, American Institutes for Research Dean Tagawa, Administrator for Early Education, Los Angeles Unified School District Moderator: Erin Gabel, Deputy Director, First 5 California (Invited) 11:00 AM — 12:00 PM «Political Will & Prioritizing ECE» (Panel Discussion) Eric Heins, President, California Teachers Association Senator Hannah - Beth Jackson, Chair of the Women's Legislative Committee, California State Senate David Kirp, James D. Marver Professor of Public Policy, University of California, Berkeley Assemblyman Kevin McCarty, Chairman of Subcommittee No. 2 of Education Finance, California State Assembly Moderator: Kim Pattillo Brownson, Managing Director, Policy & Advocacy, Advancement Project 12:00 PM — 12:45 PM Lunch 12:45 PM — 1:45 PM Lunch Keynote - «How Children Succeed: Grit, Curiosity, and the Hidden Power of Character» Paul Tough, New York Times Magazine Writer, Author 1:45 PM — 1:55 PM Break 2:00 PM — 3:05 PM Elevating ECE Through Meaningful Community Partnerships (Panel Discussion) Sandra Guiterrez, National Director, Abriendo Purtas / Opening Doors Mary Ignatius, Statewide Organize of Parent Voices, California Child Care Resource & Referral Network Jacquelyn McCroskey, John Mile Professor of Child Welfare, University of Southern California School of Social Work Jolene Smith, Chief Executive Officer, First 5 Santa Clara County Moderator: Rafael González, Director of Best Start, First 5 LA 3:05 PM — 3:20 PM Closing Remarks Camille Maben, Executive Director, First 5 California * Agenda Subject to Change

In humans, we can not do experiments but can see effects of extreme neglect in children's brains where the brain slows its growth of networks and communication pathways scheduled to come on line at those particular times.

Right, it's that brain - flexing term that refers to the idea that phone and cable companies should treat all of the traffic on their networks equally.

The reason is that there is a part of your brain called the Default Network, which turns on when you are not actively focusing on a problem.

Real diagnoses with artificial networks The software was based on an artificial neural network, a program that mimics the structure of biological brains and learns via adjustments in the strength of connections in its network.

Using a computer model based on direct brain recordings from epilepsy patients, they are the first to show the existence of a network of neural regions that can push or pull on the synchronization of the regions directly involved in a seizure.

In their new study, the researchers have shown that this second network acts on the one directly involved in the seizure, influencing whether the pathological synchronization remains confined to a local area or spreads across the brain.

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.

And with more information on how the brain forms its network, scientists might begin to see what happens when that network is injured or malformed.

«Our own previous study on Facebook could only show correlation between social network size and the brain, but we could not determine the direction of causation between social brain regions and social network size,» notes Ryota Kanai of University College London, one of the researchers on the study.

Neuroscientists don't agree on exactly which parts of the brain compose this network, but they now believe it is one of the busiest neurological systems.

However, all the lesions were part of the same functional network, located on different parts of a single circuit that normally allows neurons throughout the brain to cooperate with each other on specific cognitive tasks.

Further research would be helpful in determining the likelihood that patients who suffer brain lesions in the «criminality - associated network» actually go on to commit crimes, with the expectation that this kind of impairment will emerge as one of many factors increasing the risk of criminal behavior.

The group's work is particularly significant because they showed for the first time how the importance of individual nodes within functional brain networks fluctuates on timescales spanning tens of seconds up to days.

To take on that role in a machine, the core would have to connect to the other parts of the brain, diagrammed as a network at right.

This brain could sit on a shelf until technology has advanced enough for us to scan and re-create the neural network in a new robot body or virtual environment.

A centrifugelike device was first flown on Skylab in the 1970s to study the neurovestibular system — the network consisting of the eyes, the inner ear, and the brain centers that govern balance, perceive body position, and activate motion sickness.

To do those things, the program relies on «deep neural networks» — computer programs that mimic the connections of neurons in the brain and have the capacity to learn, as the team reports online today in Nature.

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 researchers found that the powerful messenger, NPD1, is produced on - demand in the brain and retina and that it elicits a network of positive signals essential for the well - being of vision and cognition.

Voss now plans to test whether this method works on individuals who have disorders in which the memory association network is weak, such as Alzheimer's disease, traumatic brain injury and schizophrenia.

Neurons are thus organized on many different scales, from small microcircuits and assemblies all the way to regional brain networks.

Experiments were then performed on real brain tissue in the Blue Brain's wet lab in Lausanne confirming that the earlier discoveries in the virtual tissue are biologically relevant and also suggesting that the brain constantly rewires during development to build a network with as many high - dimensional structures as possbrain tissue in the Blue Brain's wet lab in Lausanne confirming that the earlier discoveries in the virtual tissue are biologically relevant and also suggesting that the brain constantly rewires during development to build a network with as many high - dimensional structures as possBrain's wet lab in Lausanne confirming that the earlier discoveries in the virtual tissue are biologically relevant and also suggesting that the brain constantly rewires during development to build a network with as many high - dimensional structures as possbrain constantly rewires during development to build a network with as many high - dimensional structures as possible.

This loss, however, is not necessarily a bad thing (according to Hoekzema, «the localization was quite remarkable»); it occurred in brain regions involved in social cognition, particularly in the network dedicated to theory of mind, which helps us think about what is going on in someone else's mind — regions that had the strongest response when mothers looked at photos of their infants.

Based on anatomical sites with muted slow - wave activity, the researchers suspect the first - night effect involves the default - mode network, a system of interacting brain regions involved in daydreaming and spontaneous thoughts.

Once this link was established, the authors were then able to home in on where in the brain and when in development these networks were localizing.

Previous studies have shown that a specific network in the brain is active when a person must decide between various choices that vary depending on context.

Her research, which draws on network science, has revealed that people with more «flexible» brains — those that can easily make new connections — are better at learning new information.

AI is all around us — think: Siri, the iPhone - based personal assistant, or Watson, IBM's supercomputer that famously beat human contestants on Jeopardy! Both are examples of «deep learning» in which a computer absorbs and processes information via artificial neural networks that operate like the human brain.

Researchers at Brown University and the Georgia Institute of Technology used neuroimaging and a brain wave — tracking approach called polysomnography to record activity in four brain networks in 11 individuals as they slept on two nights about a week apart.

The researchers focused on a network of brain areas they have studied before.

The new research shows that, in autism, connectivity in these networks that can be seen on fMRI scans is fairly similar regardless of whether the brain is at rest or performing a task.