Sentences with phrase «neural patterns in»

The team thinks that reproducibility — the replication of similar neural patterns in the brain each time it becomes conscious of the same sensory input — gives us clues as to what consciousness is.

Not exact matches

If researchers feed enough images of cats into these neural networks, they learn to recognize patterns in those images so they can eventually spot felines in photos without human help.

«We use high - performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques,» founder and CEO Jeff Bezos famously noted in a 2010 letter to shareholders.

To train these neural networks to recognize images of cats in photos, for example, Shallue said Google fed neural networks enough cat photos so that the software eventually could discover cats in new photos on its own based on patterns it discovered.

we're not arguing about neural patterns or synapses firing — that's compassion in YOUR worldview («methodological naturalism?»).

The straightforward experimental implication is that the correlation between brain wave patterns and neural impulse patterns should be lower when a person is engaged in creative thought than when engaged in routine activity like adding numbers.14

This again is achieved by a series of steps, each of which triggers off pre-set neural mechanisms, activates linguistic holons of a more and more automatised type; the canons of grammar and syntax exert their rule unconsciously, automatically; and the last step in articulating the sounds of speech is performed by entirely mechanised patterns of muscle contractions.

Overall, fMRI studies show that neural activity in women with PPD compared to people with major depression who had not given birth involves distinct patterns for new mothers with PPD.

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.

Yet the young men in the study didn't exhibit any of these neural patterns, suggesting that this may be a developmental pathway that makes females more prone to becoming anxious.

In a study published in June in Psychological Science, Just and his colleague Robert Mason found that thinking about physics prompts common brain - activation patterns and that these patterns are everyday neural capabilities — used for processing rhythm and sentence structure, for example — that were repurposed for learning abstract sciencIn a study published in June in Psychological Science, Just and his colleague Robert Mason found that thinking about physics prompts common brain - activation patterns and that these patterns are everyday neural capabilities — used for processing rhythm and sentence structure, for example — that were repurposed for learning abstract sciencin June in Psychological Science, Just and his colleague Robert Mason found that thinking about physics prompts common brain - activation patterns and that these patterns are everyday neural capabilities — used for processing rhythm and sentence structure, for example — that were repurposed for learning abstract sciencin Psychological Science, Just and his colleague Robert Mason found that thinking about physics prompts common brain - activation patterns and that these patterns are everyday neural capabilities — used for processing rhythm and sentence structure, for example — that were repurposed for learning abstract science.

Because the neural patterns involved in considering a particular topic — gravity, for instance — were the same in all participants.

It is enough, for instance, that the stimulus that provides the sensation of touch is moved some ten micrometres across the skin in order for the neural patterns to be completely different,» says Henrik Jörntell.

The findings raise questions about how today's neural networks, which learn to perform computational tasks by looking for patterns in huge data sets, are trained and evaluated.

With this technology, researchers can be selective about which neurons they engineer to be responsive, and an optical implant can emit light in a variety of patterns, allowing more precise control over neural circuits.

This pattern is processed and remembered by neural circuits in the olfactory bulb and olfactory cortex.

«When faced with a new task, we're finding that the brain is constrained to take the neural activity patterns that it's capable of generating right now and use them as effectively as possible in this new task.»

In males and females, these sex - specific neural patterns were quite different, Dulac says.

But in an animal study published in Nature in 2012, Shenoy and his colleagues reported finding that much more is going on: Motor cortical neurons work as part of an interconnected circuit — a so - called dynamical system — to create rhythmic patterns of neural activity.

In his latest book, Adam Piore explores how bioengineers are harnessing the latest technologies to unlock untapped abilities in the human body and mind, like translating neural brain patterns of thoughts into written worIn his latest book, Adam Piore explores how bioengineers are harnessing the latest technologies to unlock untapped abilities in the human body and mind, like translating neural brain patterns of thoughts into written worin the human body and mind, like translating neural brain patterns of thoughts into written words

A new study published in PLOS Computational Biology investigates how temporal acoustic patterns can be represented by neural activity within auditory cortex, a major hub within the brain for the perception of sound.

A team of researchers from the Department of Evolutionary Neuroethology, led by Sonja Bisch - Knaden, has investigated whether neural activity patterns linked to either feeding or egg - laying behavior can already be observed in the antennal lobe, which is the first processing level of scents in the insect brain.

The technology, part of an 18 - month, $ 2.4 million Defense Advanced Research Projects Agency (DARPA) undertaking, relies on electroencephalography (EEG) to detect the cascade of neural firing patterns in your brain when you spot something novel or interesting, even if you're unaware of it.

They compared the resulting gene expression patterns in all the parrot brains with neural tracing experiments in budgerigars.

Based on the general spending patterns found in known fraudulent accounts, the neural network was able to recognize the behavior and flag new fraud cases.

Deep neural networks and deeply learning are already finding use in fields such as pattern recognition, automated translation, medical diagnostics, and smartphone assistance.

Those neural signaling patterns, in Pitkow and Angelaki's description, are then recoded into another set of patterns; that process sorts out the important variables in the environment from those that don't matter.

The resulting pattern mimics the abnormal neural activity seen in anxiety disorders.

Subjects in computational intelligence as defined by IEEE Computational Intelligence Society mainly include: Neural networks: trainable systems with very strong pattern recognition capabilities.

The analysis allowed the researchers to identify and isolate the specific patterns of neural activity that play out in this part of the brain when someone speaks, effectively enabling them to decode the brain's signals.

In an earlier study, Dyer discovered that hand motion directions corresponded with reliable neural signaling patterns in the brain's motor neocorteIn an earlier study, Dyer discovered that hand motion directions corresponded with reliable neural signaling patterns in the brain's motor neocortein the brain's motor neocortex.

What makes today's deep neural nets at once powerful and capricious is their ability to find patterns in huge amounts of data.

This recalibration is typically performed using a special task in which the participant tries to move the cursor to prescribed targets so that movement intentions can be mapped to the new neural activity patterns.

In contrast, the Stanford team's neural structures not only self - assembled as cortexlike tissue, the neurons also sent signals to one another in coordinated patterns — just as they would in a braiIn contrast, the Stanford team's neural structures not only self - assembled as cortexlike tissue, the neurons also sent signals to one another in coordinated patterns — just as they would in a braiin coordinated patterns — just as they would in a braiin a brain.

«If the brain's neural - activity patterns are in overdrive, as is often the case for people with addiction or OCD, could we create a computer program that can help to retrain their brains and downshift this activity?»

Because of the changes in neural signals over time, the resting firing patterns of neurons in the motor cortex might have changed since the last pause.

«The oscillating checkerboard pattern is a more «naturalistic» stimulus, in that its timing is similar to the very subtle neural oscillations made during normal thought processes,» explains Polimeni.

«We are exploring this through modelling information processing in parts of the insect brain, and we find that often, exceedingly difficult tasks, for example in visual pattern recognition or floral scent learning, can be solved with extremely simple neural circuits.

In this study they measured phase response curves from a computer simulation of brain activity, predicted what stimulus patterns would suppress the neural oscillations, and then demonstrated that the stimulation patterns predicted to suppress the oscillations were in fact effectivIn this study they measured phase response curves from a computer simulation of brain activity, predicted what stimulus patterns would suppress the neural oscillations, and then demonstrated that the stimulation patterns predicted to suppress the oscillations were in fact effectivin fact effective.

«There are patterns at every stage of life that are different from the patterns at other stages, and with the system we created we can see that really clearly in ways that are surprisingly complex and robust,» says Bargmann, who is the Torsten I. Wiesel Professor and head of the Lulu and Anthony Wang Laboratory of Neural Circuits and Behavior.

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.»

The synapses in the network start out with a random distribution of weights, and the weights are gradually tweaked according to a remarkably simple procedure: The neural firing pattern generated while the machine is being fed data (such as images or sounds) is compared with random firing activity that occurs while the input is turned off.

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

An international research team led by Carnegie Mellon University has found that when the brain «reads» or decodes a sentence in English or Portuguese, its neural activation patterns are the same.

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.

Although the brain or brain stem acts as the command center, it is the neural networks in the spinal cord that actually generate the complex motor patterns.

This process is highly dynamic during neural development with dramatic switches of splicing patterns in thousands of genes, which produce a repertoire of protein products required at specific developmental stages.

They speculate that the correlation could have something to do with the patterns of neural activity surrounding the amygdala, the seat of fear in the brain.

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 patterns of neural activity underpinning our selves keep changing throughout our lives as we learn to play checkers, read Thus Spake Zarathustra, fall in love, lose a job, win the lottery, get divorced, take Prozac.