Quotes About Neural

In pursuing my fervent goal of relating external stimuli to reports about internal-neural change, we were, paradoxically enough, following the most orthodox tradition in psychology.

All you need is lots and lots of data and lots of information about what the right answer is, and you'll be able to train a big neural net to do what you want.

The key to transforming mental models is to interrupt the automatic responses that are driven by the old model and respond differently based on the new model. Each time you are able to do this, you are actually loosening the old circuit and creating new neural connections in your brain, often referred to as self-directed neuroplasticity.

Harris believes that people suffering from a whole range of disorders characterized by excessively rigid patterns of thought—including addiction, obsessions, and eating disorders as well as depression—stand to benefit from "the ability of psychedelics to disrupt stereotyped patterns of thought and behavior by disintegrating the patterns of [neural] activity upon which they rest.

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One reason I'm such a wayward prognosticator of rightwing trends is that I'm incapable of blacking out enough neural sectors to see the world through reptilian-brained eyes, a prerequisite for any true channeling of the mean resentments and implanted fears that drive hardcore conservatives.

Consciousness is simply the brain's neural response to its surrounding environmental stimuli. Hence when the neural circuits malfunction, Consciousness tends to malfunction as well.

The brain that we think of as a necessity for intelligence is only one possible form a neural network can take and that is determined by ecological function and species shape; it is not essential to intelligence. As neurologist Antonio Damasio puts it, "the mind is embodied, not just embrained.

The parts are relied upon to use their own analyses and choices as to how to respond, in essence, giving Gaia a network of trillions upon trillions of neural networks all working in their own sphere to help maintain Gaian homeodynamis. and all utilizing their own inherent genius to do so

neural mechanisms for filtering sensory data inflows exist in the neural networks for every type of sensory input that we experience, including our nonkinesthetic feeling sense (what I have called heart perception in The Secret Teachings of Plants

Over time, unique invisibles, perceivable only because of the sensitivity and openness of the sensory gating in that neural network, are able to be heard and, as well, expressed through the activity of that part of the self. This is what Goethe was talking about when he said that Every new object, clearly seen, opens up a new organ of perception in us.

Children who begin working at an early age with music have, as habit, much less pre-attentional or unconscious gating in the neural network that attends to sound. Gating, in general, develops over time and with exposure, the pre-attentional self learning to gate whatever is not important to the conscious mind. Children, by nature, have much less gating than adults—gating

The neural networks responsible for sensory gating begin to process data as soon as the child is born .

No one much seemed to comprehend the shapes he wore, but Ghost wore them anyway, because doing so amused him. Being a construct, "amusement" wasn't precisely the right term, but it was a close approximation for the exhilarating openness of the neural web, the crackle of new pathways and unexpected interconnections.

When we make a neural net to distinguish cats from dogs we don't effectively have to write a program that (say) explicitly finds whiskers; instead we just show lots of examples of what's a cat and what's a dog, and then have the network "machine learn" from these how to distinguish them. And the point is that the trained network "generalizes" from the particular examples it's shown.

So how does neural net training actually work? Essentially what we're always trying to do is to find weights that make the neural net successfully reproduce the examples we've given. And then we're relying on the neural net to "interpolate" (or "generalize") "between" these examples in a "reasonable" way.

Neural nets—perhaps a bit like brains—are set up to have an essentially fixed network of neurons, with what's modified being the strength ("weight") of connections between them.

And—as we'll discuss later—these weights are normally determined by "training" the neural net using machine learning from examples of the outputs we want.)

My fundamental premise about the brain is that its workings—what we sometimes call "mind"—are a consequence of its anatomy and physiology, and nothing more. —CARL SAGAN

Brain Research Through Advancing Innovative Neurotechnologies (or BRAIN) project announced by President Obama, and the Human Brain Project of the European Union, which will potentially allocate billions of dollars to decode the pathways of the brain, all the way down to the neural level.

This looks very much as if the integration of the day's experience into our memory, the forging of new neural links, is either an easier or a more urgent task. As the night wears on and this function is completed, the more affecting dreams, the more bizarre material, the fears and lusts and other powerful emotions of the dream material emerge.

Identity lies not in our genes, but in the connections between our brain cells.

When you realize that quantum mechanics underlies all physical processes, from the fusing of atoms in the sun to the neural firings that constitutes the stuff of thought, the far-reaching implications of the proposal become apparent. It says that there's no such thing as a road untraveled. Yet each such road—each reality—is hidden from all others.

But people are stimuli, and a cocktail party or brainstorming session full of them can blow their neural circuits. So they limit their exposure. Meanwhile, extroverts are a little bit like addicts who are always