Sentences with phrase «neural coding»

A central theme in neural coding concerns the role of response variability and noise in determining the information transmission of neurons.

«This interplay of space and time paralleled research done with humans and monkeys and revealed the common neural coding of these two physical dimensions.

Dr. Jazayeri will develop these ideas in the context of a project where we have found a candidate neural code for motor timing based on the neural dynamics in the medial frontal cortex.

Summary: Recent advances in systems neuroscience have motivated a shift of perspective on neural code from static single - neuron codes such as tuning functions to codes that are governed by structure and dynamics of population activity.

These chips, which are actually neurotechological hardware designed to read and write neural code, will be used at first for individuals with diseases or deficiencies to restore normal brain function.

Rigosi, E., Haase, A., Rath, L., Anfora, G., Vallortigara, G. & Szyszka, P. (2015), Asymmetric neural coding revealed by in vivo calcium imaging in the honey bee brain.

Explaination on one of Elisa Rigosi's thesis projects published in Rigosi et al. 2015, Asymmetric neural coding revealed by in vivo calcium imaging in the honeybee brain.

This shift of perspective invites a change of approach: instead of charting average firing rates of single neurons, we must infer behaviorally relevant neural codes from evolving activity patterns across neural populations.

Varying the timing and strength of these inputs can produce either a rate or temporal neural code, effectively switching the «language» used by the brain for describing the temporal patterns within a sound.

Deciphering this so - called neural code — think of it as the brain's software — is the ultimate goal of many scientists tinkering with brain - machine interfaces.

Here, Dr. Jazayeri will present a novel approach consisting of 3 inter-related steps to tackle this problem: 1) use high - density recording to characterize the intrinsic manifold along which neural dynamics evolve, 2) develop recurrent network models to generate hypotheses about the principles that control the dynamics, and 3) apply model - based perturbations to infer the key features of the observed dynamics that provide a predictive neural code for the behavior.

Neural activity, and by extension neural codes, are constrained by connectivity.

Explaination of one of Elisa Rigosi's thesis projects published in Rigosi et al. 2015, Asymmetric neural coding revealed by in vivo calcium imaging in the honeybee brain.

«We are writing the neural code to enhance memory function,» Dong told New Scientist.

As Fred Wolf of the Max Planck Institute for Dynamics and Self - Organization further explains, that «extraordinarily high deletion rate came as a huge surprise,» and it effectively means that information is lost in the brain as quickly as it can be delivered — something the researchers say has «fundamental consequences for our understanding of the neural code of the cerebral cortex.»

Neural coding is helped when children are exposed to good music as well.

How does a functioning «neural code» allow us to see?

We are very close to the neural code.

That is the neural code.

Understanding how the brain generates these neural codes can lead to the development of state - of - the - art neural prosthetic devices, more closely imitating the neural coding patterns normally used by the brain.

The neural code of vision is a secret language between the eyes and the brain.

The neural coding that leads to our recognition of various textures and feelings is complicated, he explained.

The fireworks really went off when I realized that I could combine gene therapy with the neural code to make a retinal prosthetic.

«We are writing the neural code to enhance memory function,» says Dong Song of the University of Southern California, who presented the findings at the Society for Neuroscience meeting in Washington DC this week.

With improved stimoceivers and a better understanding of the neural code, he said, scientists might determine what we are perceiving — a piece of music, say — based on our neural output.

intelligence engineers ever succeed in building a truly intelligent machine based on a neural coding scheme similar to ours, «we won't be able to read its mind either,» Freeman says.

Before we can build cyborg soldiers and robohumans, researchers face a tough challenge: cracking the neural code.

But Christof Koch of Caltech warns that the neural code may never be totally deciphered.

Analogous to the software of a computer, the neural code is the set of rules or syntax that transforms the electrical pulses emitted by brain cells into perceptions, memories, and decisions.

Science's best hope for understanding the mind is to crack the neural code.

A team of neuroscientists may find an elegant solution to the neural code, or physicists may find a way to confirm the existence of extra dimensions.

The neural code could yield insights into such ancient philosophical conundrums as the mind - body problem and the riddle of free will.

The conventional view is that this neural code is based on...

«It is very unlikely that the neural code will be anything as simple and as universal as the genetic code,» Koch says.

In principle, a solution to the neural code could give us enormous power over our psyches, because we could monitor and manipulate brain cells with exquisite precision by speaking to them in their own language.

«It really speaks to how compact and efficient this feature - based neural code is,» she says.

«The hope is that this neural code extends to object recognition as a whole.»

Now, using a combination of brain imaging and single - neuron recording in macaques, biologist Doris Tsao and her colleagues at the California Institute of Technology appear to have finally cracked the neural code for primate face recognition.

Now, using a combination of brain imaging and single - neuron recording in macaques, biologist Doris Tsao and her colleagues at Caltech have finally cracked the neural code for face recognition.

Outside the abstract world of neural coding, grid cells have another major relevance — in understanding memory and its loss.

It seems unlikely that the neural codes that the brain uses to represent other aspects of the world will be so simple; individual neurons may code for several different properties of the world, making the languages difficult to disentangle.

The brain also filters out errors using a neural code based on coincidences in timing.

«They are trying to understand the neural codes for cognition — and so unite biology with computer science and even philosophy.»

If artificial - intelligence engineers ever succeed in building a truly intelligent machine based on a neural coding scheme similar to ours, «we won't be able to read its mind either,» Freeman says.

The neural code is often likened to the machine code that underpins the operating system of a digital computer.

The neural code is arguably the most consequential of the three.

Chapin ranks the neural code right up there with two other great scientific mysteries: the origin of the universe and of life on Earth.

With new and improved stimoceivers and a better understanding of the neural code, he said, scientists might determine what we are perceiving — a piece of music, say — based on our neural output.

The potential of brain - stimulation «has not been fully developed,» he says, because the neural code remains «very difficult to untangle.»

The mutability of the neural code is not necessarily bad news for neural - prosthesis designers.