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Neural in sentence

209 examples of Neural in a sentence

We've painted only the first brushstrokes in our neural portrait of the human mind.
Our system also should be extraordinary at finding out where blood isn't, like a clogged artery, or the color change in blood as it carries oxygen versus not carrying oxygen, which is a way to measure neural activity.
So, using deep neural networks, AIVA looks for patterns in the scores.
As it turned out, the wealth of information provided by ImageNet was a perfect match to a particular class of machine learning algorithms called convolutional neural network, pioneered by Kunihiko Fukushima, Geoff Hinton, and Yann LeCun back in the 1970s and '80s.
Just like the brain consists of billions of highly connected neurons, a basic operating unit in a neural network is a neuron-like node.
In a typical neural network we use to train our object recognition model, it has 24 million nodes, 140 million parameters, and 15 billion connections.
Powered by the massive data from ImageNet and the modern CPUs and GPUs to train such a humongous model, the convolutional neural network blossomed in a way that no one expected.
We find there are more neural stem cells that make new neurons in these old brains.
So, maybe love's just all in your head, a personal mystery winding through your neural pathways and lighting up pleasing, natural rewards in your nervous system.
Then you have the spinal cord, and in the spinal cord you find reflexes, multiple reflexes that create a sensorimotor coordination loop between neural activity in the spinal cord and mechanical activity.
And what's interesting is that the salamander has kept a very primitive circuit, which is very similar to the one we find in the lamprey, this primitive eel-like fish, and it looks like during evolution, new neural oscillators have been added to control the limbs, to do the leg locomotion.
And we know where these neural oscillators are but what we did was to make a mathematical model to see how they should be coupled to allow this transition between the two very different gaits.
And when we studied the brains of experienced meditators, we found that parts of a neural network of self-referential processing called the default mode network were at play.
For example, chronic stress increases the activity level and number of neural connections in the amygdala, your brain's fear center.
There are about 10,000 trillion neural connections within the architecture of your brain.
A 1983 neurobiological theory of dreaming, called reverse learning, holds that while sleeping, and mainly during REM sleep cycles, your neocortex reviews these neural connections and dumps the unnecessary ones.
Practicing in this way creates new neural pathways in the interpreter's brain, and the constant effort of reformulation gradually becomes second nature.
That's supported by evidence which suggests that the neural patterning involved in generating a hiccup is almost identical to that responsible for respiration in amphibians.
As it turns out, computers are rapidly getting better at image recognition thanks to machine learning algorithms, such as neural networks.
You might think that training neural networks to recognize these would be a long and complicated task until you realize just how much data is out there, and how quickly modern computers can process it.
Prefrontal cortex neurons are connected to the posterior cortex by long, spindly cell extensions called neural fibers.
The mental synthesis theory proposes that like a puppeteer pulling the strings, the prefrontal cortex neurons send electrical signals down these neural fibers to multiple ensembles in the posterior cortex.
Neural fibers are wrapped in a fatty substance called myelin.
Some neural fibers have as many as 100 layers of myelin.
There, they create patterns of neural activity that correspond to the millions of colors most humans can distinguish.
Our brains have two kinds of neural tissue: grey matter and white matter.
It prevents energy loss from electrical signals that the brain uses, moving them more efficiently along neural pathways.
Rather, it may be the myelination of neural pathways that gives these athletes and performers their edge with faster and more efficient neural pathways.
And the principle we all revolve around is what's called the "Neural Path of Least Resistance."
We're going against the Neural Path of Least Resistance.
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