Sentences with phrase «study of neural networks»

Yoshua Bengio is one of the Canadian wizzes who revived the longtime study of neural networks by creating sophisticated versions of this brain - inspired technology now used for image recognition, language understanding and playing championship go.

Not exact matches

Having studied experimental psychology as an undergraduate at Cambridge, Hinton was enthusiastic about neural nets, which were software constructs that took their inspiration from the way networks of neurons in the brain were thought to work.

By studying these examples, the neural network learned on its own what the light signal of an exoplanet looked like, and could then pick out the signatures of exoplanets in previously unseen signals.

Of all the human senses, the visual system — the network that turns light into neural signals that create the perception of sight — is the most studied and best understooOf all the human senses, the visual system — the network that turns light into neural signals that create the perception of sight — is the most studied and best understooof sight — is the most studied and best understood.

«This connection between an innate call and the activity of a brain area important to learned vocalisations suggests that during the evolution of songbirds, the role of the song area in the brain changed from being a simple vocalisation system for innate calls to a specialised neural network for learned songs,» concludes Manfred Gahr, coordinator of the study.

Mike Preuss, an information systems specialist and co-author of the study, summarizes it as follows, in a somewhat simplified way: «The deep neural networks are used for predicting which reactions are possible with a certain molecule.

Lead author of the study Kirsten Weber proposes, «The enhanced activity might reflect a brain mechanism to build and strengthen a neural network to process novel word order regularities.»

The artificial neural networks serve as «mini-brains that can be studied, changed, evaluated, compared against responses given by human neural networks, so the cognitive neuroscientists have some sort of sketch of how a real brain may function.»

The mammalian cerebral cortex, long thought to be a dense single interrelated tangle of neural networks, actually has a «logical» underlying organizational principle, reveals a study appearing Feb. 27 in the journal Cell.

«The neural networks we tested — three publicly available neural nets and one that we developed ourselves — were able to determine the properties of each lens, including how its mass was distributed and how much it magnified the image of the background galaxy,» said the study's lead author Yashar Hezaveh, a NASA Hubble postdoctoral fellow at KIPAC.

As Manel del Valle, the main author of the study, explains: «The concept of the electronic tongue consists in using a generic array of sensors, in other words with generic response to the various chemical compounds involved, which generate a varied spectrum of information with advanced tools for processing, pattern recognition and even artificial neural networks.»

For the purpose of the study, Slomowitz grew a neural network on an array of electrodes and recorded the activity of single individual neurons in the network.

Exactly how the neural networks need to be stimulated depends upon the patient's individual injury profile and is the subject of further studies.

Just like a set of building blocks, the neural network in the spinal cord is able to combine these basic patterns flexibly to suit the motor requirement,» explains study author Simon Danner, from the Center for Medical Physics and Biomedical Engineering of MedUni Vienna.

Looking deeper, Fraden studied how a type of neural network present in the eel, named the Central Pattern Generator, produces waves of chemical pulses that propagate down the eel's spine to rhythmically drive swimming muscles.

«The complementary evidence of electrocorticography, fMRI, and brain stimulation will make it possible to study not only the effects of brain stimulation on the local neural networks that process face information, but also how they broadcast their information towards other regions in the brain.»

The study, just published in the Proceedings of the National Academy of Sciences, found heightened neural activity in the brain's connector hubs during complex tasks, such as puzzles and video games, while networks dedicated to specific functions did not need to put in extra work.

«We realized that studying the lithium response could be used as a «molecular can - opener» to unravel the molecular pathway of this complex disorder, that turns out not to be caused by a defect in a gene, but rather by the posttranslational regulation (phosphorylation) of the product of a gene — in this case, CRMP2, an intracellular protein that regulates neural networks,» added Snyder.

As Manel del Valle, the main author of the study, explains to SINC: «The concept of the electronic tongue consists in using a generic array of sensors, in other words with generic response to the various chemical compounds involved, which generate a varied spectrum of information with advanced tools for processing, pattern recognition and even artificial neural networks.»

Studies of early development in fishes show that neural networks in the brain controlling the more complex vocal and pectoral mechanisms of social signalling among birds and mammals have their ancestral origins in a single compartment of the hindbrain in fishes.

By inserting these proteins into the living brain, we can study and perturb different elements of neural circuits, giving us a picture of how individual components function within the complex network.

The study also revealed that an area of the brain called the default mode network, which is involved in activities like daydreaming and thinking about the past and the future, shows greater neural connectivity in meditators than nonmeditators.

However, as we have seen, brain - imaging studies of reading indicate otherwise: Instruction appears to establish the neural networks that support reading.

A study conducted by the developing team of Cardiogram app for the Apple Watch and researchers at the University of California revealed that smartwatches like Apple's own device, Garmin, or LG models, can collect data, which when analyzed by advanced tech like neural networks, can diagnose heart diseases with an accuracy of 97 percent.

A new study from Cardiogram shows that by using heart rate monitors on wearables like the Apple Watch, neural networks can now detect whether the wearer shows early signs of diabetes with astonishing accuracy.

Neural networks of information processing in posttraumatic stress disorder: A functional magnetic resonance imaging study