Quotes About Neural

In my books the technology that I choose to talk about has to serve the themes. What that means is that I end up having to cut out a lot of cool technology that would be really fun to describe and play with, but which would just confuse everybody. So in 'Amped,' I focus on neural implants.

My central thesis is that combining increased temporal and spatial resolution in MRI techniques with increasingly powerful data correlation techniques will allow the derivation of interpreted meanings from neural signals. I observed, further, that the techniques that exist already allow some correlations.

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.

The brain has about ten thousand parameters for every second of experience. We do not really have much experience about how systems like that work or how to make them be so good at finding structure in data.

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.

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

like abstract mathematics. Scientists have studied "brain plasticity," the ability of the brain to reorganize neural pathways based on new experiences. It appears that different types of plasticity are dominant at different ages.

Her neural pattern must remain intact for the time being, as it was still necessary that she stay herself. Changes to her identity would eventually become inevitable, but those would have to wait until she no longer needed the cloak of who she was.

Having reclaimed the world's neural networks and integrated the memories of the splintered angels she'd consumed, she had access-finally-to an enormous database of useful information.

One of the fundamental findings of cognitive science is that people think in terms of frames and metaphors […] The frames are in the synapses of our brains, physically present in the form of neural circuitry. When the facts don't fit the frames, the frames are kept and the facts ignored.

Our categories arise from the fact that we are neural beings, from the nature of our bodily capacities, from our experience interacting in the world, and from our evolved capacity for basic-level categorization - a level at which we optimally interact with the world. Evolution has not required us to be as accurate above and below the basic level as at the basic level, and so we are not.

There is no Chomskyan person, for whom language is pure syntax, pure form insulated from and independent of all meaning, context, perception, emotion, memory, attention, action, and the dynamic nature of communication. Moreover, human language is not a totally genetic innovation. Rather, central aspects of language arise evolutionarily from sensory, motor, and other neural systems that are present in lower animals.

One of the fundamental findings of cognitive science is that people think in terms of frames and metaphors—conceptual structures like those we have been describing. The frames are in the synapses of our brains, physically present in the form of neural circuitry. When the facts don't fit the frames, the frames are kept and the facts ignored.

Progressive and conservative worldviews contradict each other. Both are characterized in the brain via neural circuitry.

Neuroscientists have discovered a brain overlap, too, between imagining and doing. Many of the same neural regions are activated when we form mental images as when we actually see.

As the neural grooves of self-blame and regret get established, rumination becomes your default mode.

You can change your brain for the better or worse through behaviors and even ways of thinking. Bad habits have neural maps that reinforce those bad habits.

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.

feel an emotion it is necessary but not sufficient that neural signals from viscera, from muscles and joints, and from neurotransmitter nuclei—all of which are activated during the process of emotion—reach certain subcortical nuclei and the cerebral cortex. Endocrine and other chemical signals also reach the central nervous system via the bloodstream among other routes.

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.

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

Neural nets are nothing new. Researchers have been interested in them on and off at least since the late 1950s. However, until about a decade ago, neural nets were widely viewed as useless: in 1995 one of the founders of ML, Vladimir Vapnik, bet an extravagant dinner that by 2005 "no one in his right mind will use neural nets.

In our culture of multitasking, according to Professor Clifford Nass of Stanford University, "The neural circuits devoted to scanning, skimming, and multitasking are expanding and strengthening, while those used for reading and thinking deeply, with sustained concentration, are weakening or eroding."5

In our culture of multitasking, according to Professor Clifford Nass of Stanford University, "The neural circuits devoted to scanning, skimming, and multitasking are expanding and strengthening, while those used for reading and thinking deeply, with sustained concentration, are weakening or eroding.