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Archive for the ‘neuroscience’ category: Page 970

Jan 28, 2016

Phospholipid signaling in cancer, neurodegeneration and cardiovascular disease

Posted by in categories: biotech/medical, employment, neuroscience

Now, this is intriguing — pathways are a critical part of our system that monitors and manages how our bodies respond and interact to changes in our bodies. This recent SRC report focuses on the researchers efforts in monitoring pathways and how defects in pathways contribute to the biology and pathophysiology of cancer.


Bethesda, MD — This SRC focuses on new developments in the biology of lipid signaling with an emphasis on cancer, neuronal and cardiovascular diseases. The emphasis will be on molecular, cellular, structure/function and enzymatic mechanisms of physiological signaling pathways and how defects in these pathways contribute to the biology and pathophysiology of cancer, neurodegeneration and cardiovascular disease. The focus will be on how diacylglycerol, phosphatidic acid, lysophospholipids, sphingolipids and phosphoinositide lipids modulate specific pathways and processes in the contexts of physiological growth-regulatory signals, intracellular and extracellular vesicular trafficking, regulation of cell polarization, migration, motility and invasion, autophagy and epithelial extrusion, and as nuclear regulators of mRNA processing and gene expression. These sessions will include discussions on how signaling becomes dysfunctional in diseases. There will be presentations on new translational approaches and therapeutic targets. There will be significant representation from the pharmaceutical and biotechnology industry in order to facilitate networking between industry and academia. The topic areas have been chosen to maximize discussion of provocative and important developments.

We particularly wish to encourage the participation of new and junior researchers in the field and are securing additional support to provide PhD/postdoctoral fellow travel awards. Organizers have kept multiple short session speaking slots open. These will be selected from novel advances during 2015–2016 and from submitted abstracts. There will be multiple opportunities for new investigators and postdoctoral fellows to present and discuss their work including at poster sessions, short talks and short 5–10 minute oral ‘research snapshots’ to highlight their submitted abstracts. There will be multiple poster sessions during the conference. Time will also be allocated to at least two “meet the expert sessions” wherein established research leaders will dedicate time to interact with trainees and new investigators, specifically to give advice concerning the science and possible prospects for postdoctoral training, research funding, publishing or employment tracks.

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Jan 28, 2016

Musician receives brain surgery while playing guitar

Posted by in categories: biotech/medical, neuroscience

Unbelievable


A patient playing guitar looks odd in a surgery but actually helps doctors detect his brain signals.

A 57-year-old guitar musician received a brain operation in Shenzhen on Jan 25 as he played his guitar through the whole session.

The patient suffered a rare neurological disease called musician’s dystonia.

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Jan 28, 2016

Australian Scientists Will Soon Begin Trials for a Fully Implantable Bionic Eye

Posted by in categories: biotech/medical, cyborgs, neuroscience, transhumanism

Finally. Bionic eye technology that could give sight back to millions of individuals worldwide is set to start trials.

Adding to the recent buzz surrounding the development of bionic eye systems is news of scientists from Australia who are set to begin trials on The Phoenix99 bionic eye—a fully implantable system that marks a significant breakthrough in neural stimulation technology.

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Jan 28, 2016

The Cognitive Assistant That’s Like Google for Your Brain

Posted by in categories: computing, neuroscience

Interesting; “Human memory is not the same as computer memory,” said James Kozloski.


An inventor at IBM has patented technology for a cognitive assistant that could learn all about you, then remind you of a name you can’t remember the moment you need to say it.

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Jan 27, 2016

Neural network based on polymeric memristors can potentially be used to build fundamentally new computers

Posted by in categories: computing, neuroscience, robotics/AI

Interesting approach.


A group of scientists has created a neural network based on polymeric memristors — devices that can potentially be used to build fundamentally new computers. These developments will primarily help in creating technologies for machine vision, hearing, and other machine sensory systems, and also for intelligent control systems in various fields of applications, including autonomous robots.

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Jan 26, 2016

New algorithm points the way towards regrowing limbs and organs

Posted by in categories: biotech/medical, computing, information science, neuroscience

An international team of researchers has developed a new algorithm that could one day help scientists reprogram cells to plug any kind of gap in the human body. The computer code model, called Mogrify, is designed to make the process of creating pluripotent stem cells much quicker and more straightforward than ever before.

A pluripotent stem cell is one that has the potential to become any type of specialised cell in the body: eye tissue, or a neural cell, or cells to build a heart. In theory, that would open up the potential for doctors to regrow limbs, make organs to order, and patch up the human body in all kinds of ways that aren’t currently possible.

It was Japanese researcher Shinya Yamanaka who first reprogrammed cells in this way back in 2007 — it later earned him a Nobel Prize — but Yamanaka’s work involved a lot of labourious trial and error, and the process he followed is not an easy one to reproduce. Mogrify aims to compute the required set of factors to change cells instead, and it’s passed its early tests with flying colours.

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Jan 26, 2016

Harvard Is Trying to Build Artificial Intelligence That is as Fast as the Human Brain

Posted by in categories: computing, neuroscience, robotics/AI

Scientists hope to create a computer that can interpret, analyze, and process information with the same efficiency as a human.

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Jan 26, 2016

How Technology Changes the Way We Diagnose and Treat Mental Illness

Posted by in categories: biological, biotech/medical, disruptive technology, homo sapiens, neuroscience

As recently as 50 years ago, psychiatry lacked a scientific foundation, the medical community considered mental illness a disorder of the mind, and mental patients were literally written off as “sick in the head.” A fortunate turn in progress has yielded today’s modern imaging devices, which allow neuroscientists and psychiatrists to examine the brain of an individual suffering from a mental disorder and provide the best treatment options. In a recent interview, Columbia University Psychiatry Chair Dr. Jeffrey Lieberman stated that new research into understanding the mind is growing at an accelerated pace.

(iStock)

(iStock)

Lieberman noted that, just as Galileo couldn’t prove heliocentrism until he had a telescope, psychiatry lacked the technological sophistication, tools, and instruments necessary to get an understanding of the brain until the 1950s. It wasn’t until the advent of psychopharmacology and neuroimaging, he said, that researchers could look inside the so-called black box that is the brain.

“(It began with) the CAT scan, magnetic resonance imaging (MRI) systems, positron emission tomography (PET scans) and then molecular genetics. Most recently, the burgeoning discipline of neuroscience and all of the methods within, beginning with molecular biology and progressing to optogenetics, this capacity has given researchers the ability to deconstruct the brain, understand its integral components, its mechanisms of action and how they underpin mental function and behavior,” Lieberman said. “The momentum that has built is almost like Moore’s law with computer chips, (and) you see this increasing power occurring with exponential sort of growth.”

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Jan 25, 2016

Big Data And Quantum Computers

Posted by in categories: energy, internet, nanotechnology, neuroscience, quantum physics, robotics/AI, singularity, space travel, supercomputing, wearables

Luv the whole beautiful picture of a Big Data Quantum Computing Cloud. And, we’re definitely going to need it for all of our data demands and performance demands when you layer in the future of AI (including robotics), wearables, our ongoing convergence to singularity with nanobots and other BMI technologies. Why we could easily exceed $4.6 bil by 2021.


From gene mapping to space exploration, humanity continues to generate ever-larger sets of data—far more information than people can actually process, manage, or understand.

Machine learning systems can help researchers deal with this ever-growing flood of information. Some of the most powerful of these analytical tools are based on a strange branch of geometry called topology, which deals with properties that stay the same even when something is bent and stretched every which way.

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Jan 25, 2016

[1601.02970] Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition

Posted by in categories: neuroscience, robotics/AI

More insights for AI research.


The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans. However, the stage-wise computations therein remain poorly understood. Here, we compared temporal (magnetoencephalography) and spatial (functional MRI) visual brain representations with representations in an artificial deep neural network (DNN) tuned to the statistics of real-world visual recognition. We showed that the DNN captured the stages of human visual processing in both time and space from early visual areas towards the dorsal and ventral streams. Further investigation of crucial DNN parameters revealed that while model architecture was important, training on real-world categorization was necessary to enforce spatio-temporal hierarchical relationships with the brain. Together our results provide an algorithmically informed view on the spatio-temporal dynamics of visual object recognition in the human visual brain.

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