Top 133 Neural Quotes & Sayings

Neural scientists at M.I.T. say they can plant false memories in your brain. No, that is not new. Politicians have been doing that for years. They’re called campaign promises.

Neurogenesis continues throughout life and we have the capacity to establish new neural pathways and strengthen existing ones.

What does it mean, exactly, for a given system to be a 'neural correlate of consciousness'?

We learn best with focused attention. As we focus on what we're learning, the brain maps that information on what we already know making new neural connections

Novelty is vital to the stimulation of life... New neural paths are sparked by caving in to notions.

One can, in principle, outline sort of a set of neural circuits that are critically involved and even identify disorders that affect different components of that neural circuit and see what happens if you knock out, for example, inability to recognize faces, how it affects your response to portraiture.

All novels attempt to cut neural routes through the brain, to convince us that down this road the true future of the novel lies.

My CPU is a neural net processor; a learning computer.

The continuous networks of neural circuitry accomplish their functions using multiple, independently discovered strategies. The brain lends itself well to the complexity of the world, but poorly to clear-cut cartography.

I think the neural pathways in our brains affect what happens in our bodies, and so can alter our health.

I don't want five hundred billion neural chips. I want guts.

The genetic you and the neural you aren't alternatives to the conscious you. They are its foundations.

When you repeat a new pattern often, you literally change the neural pathways in your brain. This shift helps true change settle in.

Our brains have the ability to reorganize themselves by forming new neural connections throughout our lives. This ability is called neuroplasticity.

The identification of a population of olfactory sensory neurons innervating a single glomerulus that mediates robust avoidance to a naturally occurring odorant provides insight in the neural circuitry that underlies this innate behavior.

Deep neural networks are responsible for some of the greatest advances in modern computer science.

Health care - the ability of neural networks to ingest lots of data and make predictions is very well suited to this area, and potentially will have a huge societal impact.

Having been trained as a computer scientist in the '90s, everybody knew that AI didn't work. People tried it. They tried neural nets, and none of it worked.

Actually, I think my view is compatible with much of the work going on now in neuroscience and psychology, where people are studying the relationship of consciousness to neural and cognitive processes without really trying to reduce it to those processes.

I design genetic algorithms, neural network and artificial intelligence systems.

Shaped a little like a loaf of French country bread, our brain is a crowded chemistry lab, bustling with nonstop neural conversations.

The neural code usually refers to how your current thoughts and feelings and perceptions are encoded in the signals that neurons are passing around - and it's not the same. The code is not the same for every person.

Emotions are enmeshed in the neural networks of reason.

We have no proper understanding of the relationship between conscious thought and conscious sensation. The various forms of thought and sensation are underpinned by very different neural mechanisms; so how can the neural correlate of their conscious natures be the same? I don't think we are yet in a position to make such speculations. To make progress, we have to have a good conception of the phenomenology of consciousness, among other things.

the mind is a neural computer

Most people (by the time they have become adults ) can't change their minds because their neural pathways have become set... the longer neural pathways have been running one way the harder it is to rewire them.

We should be exploring consciousness at the neural level and higher, where the arrow of causal analysis points up toward such principles as emergence and self-organization.

Skill is a cellular insulation that wraps neural circuits and that grows in response to certain signals.

You can lead your brain and inspire it. You can actively shape new neural pathways.

When I'm writing, my neural pathways get blocked. I can't read. I can barely hold a conversation without forgetting words and names. I wish I could wear the same clothes and eat the same food each day.

The question is, can we make neural networks that are 1,000 times bigger? And how can we do that with existing computation?

There are neural networks that can build whole apps from scratch - so why are we teaching high school kids to code?

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.

My particular focus at the moment is on the development of genetic algorithms and neural networks that work together to create computer architectural systems.

The pooling operation used in convolutional neural networks is a big mistake, and the fact that it works so well is a disaster.

Everybody right now, they look at the current technology, and they think, 'OK, that's what artificial neural nets are.' And they don't realize how arbitrary it is. We just made it up! And there's no reason why we shouldn't make up something else.

Neural repatterning comes as we enter into and sustain new types of relationships that allow us to reregulate our sense impressions slowly and over time.

If we keep practicing mental skills it is likely we can strengthen neural connections and make new connections.

If you ask me, the hypothetical zenith of gaming technology is direct neural interface - no body to hamper you and your brain is in whatever you want it to be in. Plus it leads to existential uncertainty, which could be entertaining.

Our brains have been designed to blur the line between self and other. It is an ancient neural circuitry that marks every mammal, from mouse to elephant.

Your brain does not manufacture thoughts. Your thoughts shape neural networks.

Just like the brain consists of billions of highly connected neurons, a basic operating unit in a neural network is a neuron-like node. It takes input from other nodes and sends output to others.

Eighteen years later, pregnant with my first child, I started eating fish. Oily fish in particular contains plenty of long-chain omega-3 fatty acids, essential for neural development.

The important thing to know about playing to win and playing not to lose is that there are actually different neural networks that are being used. It's not very easy to do both at the same time and, if you are trying to have a playing to win mentality, you're going for it, there's some things that trip you up or trigger the wrong neural network. If you start worrying about your mistakes all of a sudden, if you get too focused on the facts and the details, these are going to shift your neural networks and sort of screw up your strategy.

New methods always look better than old ones. Neural nets are better than logistic regression, support vector machines are better than neural nets, etc.

The first attempts to consider the behavior of so-called "random neural nets" in a systematic way have led to a series of problems concerned with relations between the "structure" and the "function" of such nets. The "structure" of a random net is not a clearly defined topological manifold such as could be used to describe a circuit with explicitly given connections. In a random neural net, one does not speak of "this" neuron synapsing on "that" one, but rather in terms of tendencies and probabilities associated with points or regions in the net.

Each time you indulge in the emotion of anger or the behavior of yelling at a loved one, you reinforce the neural connection and increase the likelihood that you'll do it again.

The drives you take for granted ("I'm a hetero/homosexual," "I'm attracted to children/adults," "I'm aggressive/not aggressive," and so on) depend on the intricate details of your neural machinery.

What the artist tries to do (either consciously or unconsciously) is to not only capture the essence of something but also to amplify it in order to more powerfully activate the same neural mechanisms that would be activated by the original object.

My main interest is in trying to find radically different kinds of neural nets.

The paradigm for intelligence was logical reasoning, and the idea of what an internal representation would look like was it would be some kind of symbolic structure. That has completely changed with these big neural nets.

It is literally the case that learning languages makes you smarter. The neural networks in the brain strengthen as a result of language learning.

Once your computer is pretending to be a neural net, you get it to be able to do a particular task by just showing it a whole lot of examples.

I get very excited when we discover a way of making neural networks better - and when that's closely related to how the brain works.

Each of you possesses the most powerful, dangerous and subversive trait that natural selection has ever devised. It's a piece of neural audio technology for rewiring other people's minds. I'm talking about your language.

Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.

What does it mean, exactly, for a given system to be a "neural correlate of consciousness"?

The neural network is this kind of technology that is not an algorithm, it is a network that has weights on it, and you can adjust the weights so that it learns. You teach it through trials.

The dynamic interplay of neural activity within and in between systems is the very essence of brain function.

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.