Deep learning has come a long way since the days when it could only recognize handwritten characters on checks and envelopes. Today, deep neural networks have become a key component of many computer vision applications, from photo and video editors to medical software and self-driving cars.
Roughly fashioned after the structure of the brain, neural networks have come closer to seeing the world as humans do. But they still have a long way to go, and they make mistakes in situations where humans would never err.
These situations, generally known as adversarial examples, change the behavior of an AI model in befuddling ways. Adversarial machine learning is one of the greatest challenges of current artificial intelligence systems. They can lead to machine learning models failing in unpredictable ways or becoming vulnerable to cyberattacks.
A scalpel-free alternative to brain surgery has the potential to benefit people with Parkinson’s disease symptoms that are much more severe on one side of the body, new research suggests.
More testing is needed, but the approach, which uses a technology called focused ultrasound, could offer a new option for patients whose symptoms are poorly controlled by medications and those who cannot or do not wish to undergo traditional brain surgery.
“This small brain region, the subthalamic nucleus, had a very strong and potent effect on parkinsonian symptoms when we targeted it with precise, focused ultrasound energy,” said researcher Jeff Elias, MD, a neurosurgeon at UVA Health and a pioneer in the field of focused ultrasound. “The key for the ultimate adoption of this new procedure will be further refinements of the technology to ensure reliability and safety.”
Summary: Using data from RNA sequencing, researchers have identified three molecular subtypes of Alzheimer’s disease.
Source: Mount Sinai Hospital.
Researchers at the Icahn School of Medicine at Mount Sinai have identified three major molecular subtypes of Alzheimer’s disease (AD) using data from RNA sequencing. The study advances our understanding of the mechanisms of AD and could pave the way for developing novel, personalized therapeutics.
As human beings age, the functioning of organs gradually deteriorates. While countless past studies have investigated the effects of aging on the human body, brain and on cognition, the neural mechanisms and environmental factors that can accelerate or slow down these effects are not yet fully understood.
The immune system and the nervous system are both known to play a key role in the control of organs in the body. Moreover, past findings suggest that both of these systems change significantly during aging.
Neuroscientific studies have found that as the nervous system ages, the way in which the human body controls immune responses also changes. Nonetheless, how the nervous system’s aging process affects immune responses and the consequent impact on the brain’s functioning are still poorly understood.
“It’s all thanks to the sacrifice of the hawk moth Manduca sexta, which is an extremely sensitive smeller, like other moths. When a moth picks up a scent, like that of a flower or a potential mate, the odors bind to proteins inside the antennae, and these proteins in turn activate neurons dedicated to specific chemicals. That means the antennae are producing electrical signals that researchers can tap into. In order to create a sort of moth-drone cyborg, mechanical engineer Melanie Anderson of the University of Washington cold-anesthetized a hawk moth in a freezer before removing its antennae. Then she cut both ends off of a single antenna and attached each to an itty-bitty wire hooked up to an electrical circuit. “A lot like a heart monitor, which measures the electrical voltage that is produced by the heart when it beats, we measure the electrical signal produced by the antenna when it smells odor,” says Anderson, lead author on a recent paper in the journal Bioinspiration and Biomimetics describing the research. “And very similarly, the antenna will produce these spike-shaped pulses in response to patches of odor.””
Researchers slap a living antenna on a drone to give the machine an insanely keen sense of smell. Ladies and gentlemen, meet the “Smellicopter.”
Summary: People with spinal cord injuries have the same brain activity during processing speed tasks as healthy older adults. The findings suggest the theory of accelerated cognitive aging following SCI is correct.
Source: Kessler Foundation.
A team of rehabilitation researchers has studied processing speed deficits in individuals with spinal cord injury (SCI), comparing their brain activation patterns with those of healthy age-matched controls, and older healthy individuals. They found that the SCI group and older controls had similar activation patterns, but the SCI group differed significantly from their age-matched controls.
Before the century is out, advances in nanotechnology, nanomedicine, AI, and computation will result in the development of a “Human Brain/Cloud Interface” (B/CI), that connects neurons and synapses in the brain to vast cloud-computing networks in real time.
That’s the prediction of a large international team of neurosurgeons, roboticists, and nanotechnologists, writing in the journal Frontiers in Neuroscience.
A Human Brain/Cloud Interface, sometimes dubbed the “internet of thoughts”, theoretically links brains and cloud-based data storage through the intercession of nanobots positioned at strategically useful neuronal junctions.
Summary: Study supports the theory that highly specialized neurons in the brain are key to translating diverse visual stimuli into behavior.
Source: Max Planck Institute.
Retinal ganglion cells (RGCs) are the bottleneck through which all visual impressions flow from the retina to the brain. A team from the Max Planck Institute of Neurobiology, University of California Berkeley and Harvard University created a molecular catalog that describes the different types of these neurons. In this way, individual RGC types could be systematically studied and linked to a specific connection, function and behavioral response.
Ralph Baric, PhD, is the William R. Kenan, Jr. Distinguished Professor in the Department of Epidemiology and Professor in the Department of Microbiology and Immunology. He is a Harvey Weaver Scholar from the National Multiple Sclerosis Society and an Established Investigator Awardee from the American Heart Association. In addition, he is a World Technology Award Finalist and a fellow of the American Association for Microbiology. He has spent the past three decades as a world leader in the study of coronaviruses and is responsible for UNC-Chapel Hill’s world leadership in coronavirus research. For these past three decades, Dr. Baric has warned that the emerging coronaviruses represent a significant and ongoing global health threat, particularly because they can jump, without warning, from animals into the human population, and they tend to spread rapidly.
The Baric Lab uses coronaviruses as models to study the genetics of RNA virus transcription, replication, persistence, pathogenesis, genetics and cross-species transmission. He has used alphavirus vaccine vectors to develop novel candidate vaccines. Dr. Baric has led the world in recognizing the importance of zoonotic viruses as a potentially rich source of new emerging pathogens in humans, with detailed studies of the molecular, genetic and evolutionary mechanisms that regulate the establishment and dissemination of such a virus within a newly adopted host. Specifically, he works to decipher the complex interactions between the virion and cell surface molecules that function in the entry and cross-species transmission of positive-strand RNA viruses.
In 20172018 and 2019, Dr. Baric was named to Clarivate Analytics’ Highly Cited Researchers list, which recognizes researchers from around the world who published the most widely-cited papers in their field. Also in 2017, he was awarded a grant for more than $6 million from the National Institute of Allergy and Infectious Diseases (NIAID) to accelerate the development of a promising new drug in the fight against deadly coronaviruses, which is currently in clinical trials to reverse COVID-19 disease in humans. In this collaboration, he continued his partnership between the Gillings School and Gilead Sciences Inc. to focus on an experimental antiviral treatment that he had previously shown to prevent the development of severe acute respiratory syndrome coronavirus (SARS-CoV) in mice. The drug also was shown to inhibit MERS-CoV and multiple other coronaviruses (CoV), suggesting that it may actually inhibit all CoV. He continues to work with this drug.
Neuromorphic computing is coming, and it’s based on the way the brain works. In this installment of Brains Behind the Brains, Mike Davies, Director of Neuromorphic Computing at Intel Labs, talks to us about this technology, Intel’s Loihi processors, and how neuromorphic computing will change our world in wonderful ways. https://intel.ly/3hmL0Ip.
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