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Archive for the ‘neuroscience’ category: Page 877

Apr 11, 2017

Reprogramming brain cells offers hope for Parkinson’s

Posted by in categories: biotech/medical, neuroscience

This week saw researchers announce a promising new approach to Parkinson’s by the use of cellular reprogramming. The team lead by Ernest Arenas used a cocktail of four transcription factors to reprogram support cells inside the brain.

The research team placed the reprogramming factors into a harmless type of lentivirus and injected them en masse into a Parkinson’s disease model mice. The viruses infected support cells in the brain known as astrocytes (a support cell that regulates the transmission of electrical impulses within the brain) which are present in large numbers. The lentiviruses delivered their four factor payload to the target cells changing them from astrocytes into dopamine producing neurons.

Within three weeks the first cells had been reprogrammed and could be detected, and after fifteen weeks there were abundant numbers of dopamine producing neurons present. This is good news indeed as it also confirms that once reprogrammed the cells remain changed and stable and do not revert back into astrocytes.

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Apr 10, 2017

Predicting the optimal brain computer interface of the future

Posted by in categories: computing, information science, neuroscience

Interesting link within concerning an injectable interface.


To be able to design a device that measures brain activity an understanding of the brains function is required. This section gives a high-level overview of some of the key elements of brain function. Human brains contain approximately 80 billion neurons, these neurons are interconnected with 7,000 synaptic connections each (on average). The combination of neurons firing and their communication is, in very simple terms the basis of all thoughts conscious and subconscious. Logically if the activity of these neurons and their connections were read in real-time, a sufficiently intelligent algorithm could understand all thoughts present. Similarly, if an input could be given at this level of granularity new thoughts could be implanted.

All human brains abide by the general structure shown in the picture below, certain areas, by and large do certain things. If higher levels of thoughts like creativity, idea generation and concentration want to be read, the frontal lobe is the place to look. If emotions and short-term memory are the target, the temporal lobe is the place to read from.

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Apr 9, 2017

These Species Can Recode Their Own Genetics

Posted by in categories: bioengineering, biotech/medical, genetics, neuroscience

Technically, an animal could use RNA editing to change the nature of its proteins without completely altering the underlying DNA instructions. This makes the cephalopods’ ability to do it a very interesting phenomenon, but it’s unclear as to why the species requires this much RNA editing. Many of the edited proteins were found in the animals’ brains, which is why scientists think the editing and their brainpower could be linked.


More than any other species on earth, octopuses are particularly smart—they can solve puzzles, use tools, and communicate using color. Now scientists are saying they’re also capable of editing their RNA.

A team of scientists led by Joshua Rosenthal at the Marine Biological Laboratory and Noa Liscovitch-Braur and Eli Eisenberg at Tel Aviv University have discovered that octopuses and squid are capable of a type of genetic alteration called RNA editing. The process is rare among other species, leading scientists to believe that the cephalopods have evolved to follow a special kind of gene recoding.

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Apr 7, 2017

Unsupervised sentiment neuron

Posted by in category: neuroscience

We’ve developed an unsupervised system which learns an excellent representation of sentiment, despite being trained only to predict the next character in the text of Amazon reviews.

A linear model using this representation achieves state-of-the-art sentiment analysis accuracy on a small but extensively-studied dataset, the Stanford Sentiment Treebank (we get 91.8% accuracy versus the previous best of 90.2%), and can match the performance of previous supervised systems using 30-100x fewer labeled examples. Our representation also contains a distinct “sentiment neuron” which contains almost all of the sentiment signal.

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Apr 6, 2017

The future of the Earth through the eyes of futurists. Photo

Posted by in categories: bioengineering, biotech/medical, computing, genetics, neuroscience, transhumanism

Transhumanism stuff out in these stories: http://z-news.link/the-future-of-the-earth-through-the-eyes-of-futurists-photo/ & http://yemcentral.com/2017/03/29/would-robots-make-better-po…an-humans/ & https://player.fm/series/lions-of-liberty-podcast/287-zoltan…nd-liberty


Futurism, or more precisely, futurology, is the study of possible hypotheses, probable and preferred options for the future. To understand what futurists predict in the improvement of the human condition, consider the progress happening in the field of science, medicine and computing.

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Apr 6, 2017

Brain-zapping helmet holds promise for weight loss, anxiety

Posted by in categories: biotech/medical, neuroscience

Could brain-zapping soon cure obesity?

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Apr 6, 2017

Towards an Artificial Brain

Posted by in categories: biological, ethics, information science, neuroscience, robotics/AI

The fast-advancing fields of neuroscience and computer science are on a collision course. David Cox, Assistant Professor of Molecular and Cellular Biology and Computer Science at Harvard, explains how his lab is working with others to reverse engineer how brains learn, starting with rats. By shedding light on what our machine learning algorithms are currently missing, this work promises to improve the capabilities of robots – with implications for jobs, laws and ethics.

http://www.weforum.org/

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Apr 6, 2017

This new application of layered neural nets is about to make Photoshop amazing

Posted by in category: neuroscience

This new tool uses “semantic segmentation” to bring a whole new level of power to image editing.

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Apr 4, 2017

Hypersonic Attack Drones by 2040? Is China In Front of the US in Developing Hypersonic Weapons?

Posted by in categories: drones, energy, neuroscience, surveillance

The US wants to stay in front of China with hypersonic weapons able to travel at five-times the speed of sound and destroy targets with a “kinetic energy” warhead.

Air Force weapons developers expect to operate hypersonic intelligence, reconnaissance and surveillance drones by the 2040s, once scientific progress with autonomy and propulsion technology matures to a new level.

The advent of using a recoverable drone platform able to travel at high altitudes, faster than Mach 5, will follow the emergence of hypersonic weapons likely to be operational in the mid-2020s, according to the Air Force Chief Scientist Geoffrey Zacharias.

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Apr 4, 2017

Tiny fibers open new windows into the brain

Posted by in categories: computing, engineering, neuroscience

For the first time ever, a single flexible fiber no bigger than a human hair has successfully delivered a combination of optical, electrical, and chemical signals back and forth into the brain, putting into practice an idea first proposed two years ago. With some tweaking to further improve its biocompatibility, the new approach could provide a dramatically improved way to learn about the functions and interconnections of different brain regions.

The new fibers were developed through a collaboration among material scientists, chemists, biologists, and other specialists. The results are reported in the journal Nature Neuroscience, in a paper by Seongjun Park, an MIT graduate student; Polina Anikeeva, the Class of 1942 Career Development Professor in the Department of Materials Science and Engineering; Yoel Fink, a professor in the departments of Materials Science and Engineering, and Electrical Engineering and Computer Science; Gloria Choi, the Samuel A. Goldblith Career Development Professor in the Department of Brain and Cognitive Sciences, and 10 others at MIT and elsewhere.

The fibers are designed to mimic the softness and flexibility of brain tissue. This could make it possible to leave implants in place and have them retain their functions over much longer periods than is currently possible with typical stiff, metallic fibers, thus enabling much more extensive data collection. For example, in tests with lab mice, the researchers were able to inject viral vectors that carried genes called opsins, which sensitize neurons to light, through one of two fluid channels in the fiber. They waited for the opsins to take effect, then sent a pulse of light through the optical waveguide in the center, and recorded the resulting neuronal activity, using six electrodes to pinpoint specific reactions. All of this was done through a single flexible fiber just 200 micrometers across — comparable to the width of a human hair.

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