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Can Science Survive the Death of the Universe?

Let me back up a moment. I recently concurred with megapundit Steven Pinker that over the last two centuries we have achieved material, moral and intellectual progress, which should give us hope that we can achieve still more. I expected, and have gotten, pushback. Pessimists argue that our progress will prove to be ephemeral; that we will inevitably succumb to our own nastiness and stupidity and destroy ourselves.

Maybe, maybe not. Just for the sake of argument, let’s say that within the next century or two we solve our biggest problems, including tyranny, injustice, poverty, pandemics, climate change and war. Let’s say we create a world in which we can do pretty much anything we choose. Many will pursue pleasure, finding ever more exciting ways to enjoy themselves. Others may seek spiritual enlightenment or devote themselves to artistic expression.

No matter what our descendants choose to do, some will surely keep investigating the universe and everything in it, including us. How long can the quest for knowledge continue? Not long, I argued 25 years ago this month in The End of Science, which contends that particle physics, cosmology, neuroscience and other fields are bumping into fundamental limits. I still think I’m right, but I could be wrong. Below I describe the views of three physicists—Freeman Dyson, Roger Penrose and David Deutsch—who hold that knowledge seeking can continue for a long, long time, and possibly forever, even in the face of the heat death of the universe.

Jon Kaas receives Society for Neuroscience’s highest honor for pathbreaking cerebral cortex research

Jon Kaas, Gertrude Conaway Vanderbilt Chair in Social and Natural Sciences, Distinguished Centennial Professor of Psychology and associate professor of cell and developmental biology, received the Ralph W. Gerard Prize in Neuroscience, the highest recognition from the Society for Neuroscience, for his pathbreaking work in illuminating the structure and function of the cerebral cortex and plasticity in the developing and adult brain.

Through mapping the cerebral cortex in 30 mammalian species over his career, Kaas has shown the functional and structural organization of the visual and somatosensory—that is, sensations that span the body, such as warmth—systems in detail. Through detailed pictorial construction and electrophysical mapping, Kaas reversed a scientific dogma that brain plasticity only occurs in early life. This has led to new approaches to rehabilitation from brain damage after stroke, from macular degeneration or from motor system disorders and injuries.

“I’m pleased to share this award with Bob Desimone who has done such wonderful research, and who we once tried to convince to move to Vanderbilt,” Kaas said. “From my first days at Vanderbilt, I have worked with outstanding graduate students, undergraduates and postdocs, who made everything possible. The support of members of my Department and other faculty at Vanderbilt has been especially important.”

Researchers develop a two-photon microscope that provides unprecedented brain-imaging ability

Advancing our understanding of the human brain will require new insights into how neural circuitry works in mammals, including laboratory mice. These investigations require monitoring brain activity with a microscope that provides resolution high enough to see individual neurons and their neighbors.

Two-photon fluorescence microscopy has significantly enhanced researchers’ ability to do just that, and the lab of Spencer LaVere Smith, an associate professor in the Department of Electrical and Computer Engineering at UC Santa Barbara, is a hotbed of research for advancing the technology. As principal investigator on the five-year, $9 million NSF-funded Next Generation Multiphoton Neuroimaging Consortium (Nemonic) hub, which was born of President Obama’s BRAIN Initiative and is headquartered at UCSB, Smith is working to “push the frontiers of multi-photon microscopy for neuroscience research.”

In the Nov. 17 issue of Nature Communications, Smith and his co-authors report the development of a new microscope they describe as “Dual Independent Enhanced Scan Engines for Large Field-of-view Two-Photon imaging (Diesel2p).” Their two-photon microscope provides unprecedented brain-imaging ability. The device has the largest field of view (up to 25 square millimeters) of any such instrument, allowing it to provide subcellular resolution of multiple areas of the brain.

Regenerative Nanotransfection: Innovative Nanochip Can Reprogram Biological Tissue in Living Body

A silicon device that can change skin tissue into blood vessels and nerve cells has advanced from prototype to standardized fabrication, meaning it can now be made in a consistent, reproducible way. As reported in Nature Protocols, this work, developed by researchers at the Indiana University School of Medicine, takes the device one step closer to potential use as a treatment for people with a variety of health concerns.

The technology, called tissue nanotransfection, is a non-invasive nanochip device that can reprogram tissue function by applying a harmless electric spark to deliver specific genes in a fraction of a second. In laboratory studies, the device successfully converted skin tissue into blood vessels to repair a badly injured leg. The technology is currently being used to reprogram tissue for different kinds of therapies, such as repairing brain damage caused by stroke or preventing and reversing nerve damage caused by diabetes.

Scientists say they might have discovered the cause of Alzheimer’s

Scientists in California tried to study Alzheimer’s disease from a different perspective and the results may have led them to the cause of the disease.

Researchers at the University of California-Riverside (UCR) recently published results from a study that looked at a protein called tau. By studying the different forms tau proteins take, researchers discovered the difference between people who developed dementia and those who didn’t.

The tau protein was critical for researchers because they wanted to understand what the protein could reveal about the mechanism behind plaques and tangles, two critical indicators doctors look for when diagnosing people with Alzheimer’s.

Scientists listed ways of applying genetic engineering to treat Parkinson’s disease

Circa 2019


Researchers of Sechenov University and University of Pittsburgh described the most promising strategies in applying genetic engineering for studying and treating Parkinson’s disease. This method can help evaluate the role of various cellular processes in pathology progression, develop new drugs and therapies, and estimate their efficacy using animal disease models. The study was published in Free Radical Biology and Medicine.

Parkinson’s disease is a neurodegenerative disorder accompanied by a wide array of motor and cognitive impairments. It develops mostly among elderly people (after the age of 55–60). Parkinson’s symptoms usually begin gradually and get worse over time. As the disease progresses, people may have difficulty controlling their movements, walking and talking and, more importantly, taking care of themselves. Although there is no cure for Parkinson’s disease, medicines, surgical treatment, and other therapies can often relieve some symptoms.

The disease is characterized by significant (up to 50–70%) loss of dopaminergic neurons, i.e. nerve cells that synthesize neurotransmitter dopamine which enables communication between the neurons. Another hallmark is the presence of Lewy bodies — oligomeric deposits of a protein called alpha-synuclein inside the neurons.

It’s Happening! New Brain Computer Interface IMPROVES Mental Functioning

New BCI improves mental functioning, cognitive control, and relieves anxiety!


Hey it’s Han from WrySci HX presenting you with 5 awesome brain computer interface developments over the past year. Truly amazing stuff by all the researchers and am excited for what’s in store for the future. More below ↓↓↓

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Patreon: https://www.patreon.com/wrysci_hx.

Certain Brain Waves Aren’t Just Background Noise

Summary: Findings shed new light on how brain states are regulated and how the brain can switch between them.

Source: University of Oregon

Even when at rest, the brain is never truly quiet.

New research in mice sheds light on the seemingly random brain signals that hum in the background of brains. These signals might help the brain switch between states of inattention or disengagement and states of optimal performance, UO researchers reported Oct. 14 in the journal Neuron.

The Science of Mind Reading

𝙏𝙝𝙚 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝙤𝙛 𝙈𝙞𝙣𝙙 𝙍𝙚𝙖𝙙𝙞𝙣𝙜

𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝𝙚𝙧𝙨 𝙖𝙧𝙚 𝙥𝙪𝙧𝙨𝙪𝙞𝙣𝙜 𝙖𝙜𝙚-𝙤𝙡𝙙 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨 𝙖𝙗𝙤𝙪𝙩 𝙩𝙝𝙚 𝙣𝙖𝙩𝙪𝙧𝙚 𝙤𝙛 𝙩𝙝𝙤𝙪𝙜𝙝𝙩𝙨—𝙖𝙣𝙙 𝙡𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙝𝙤𝙬 𝙩𝙤 𝙧𝙚𝙖𝙙 𝙩𝙝𝙚𝙢.

𝙏𝙝𝙚 𝙉𝙚𝙬 𝙔𝙤𝙧𝙠𝙚𝙧:


James Somers writes about researchers in the fields of neuroscience and A.I. pursuing age-old questions about the nature of thoughts—and learning how to read them.

Jun Tani: The self-Organizing Functional Hierarchy: a neuro-robotics study — Part 1

The current talk addresses a crucial problem on how compositionality can be naturally developed in cognitive agents by having iterative sensory-motor interactions with the environment.

The talk highlights a dynamic neural network model, so-called the multiple timescales recurrent neural network (MTRNN) model, which has been applied to a set of experiments on developmental learning of compositional actions performed by a humanoid robot made by Sony. The experimental results showed that a set of reusable behavior primitives were developed in the lower level network that is characterized by its fast timescale dynamics while sequential combinations of these primitives were learned in the higher level, which is characterized by its slow timescale dynamics.

This result suggests that adequate functional hierarchy necessary of generating compositional actions can be developed by utilizing timescale differences imposed at different levels of the network. The talk will also introduce our recent results on applications of an extended model of MTRNN to the problem of learning to recognize dynamic visual patterns on a pixel level. The experimental results indicated that dynamic visual images of compositional human actions can be recognized by self-organizing functional hierarchy when both spatial and temporal constraints are adequately imposed on the network activity. The dynamical systems’ mechanisms for development of the higher-order cognition will be discussed upon reviewing the aforementioned research results.

Jun Tani — Professor, Department of Electrical Engineering, KAIST

Prof. Jun Tani received his doctorate degree in electrical engineering from Sophia University in 1995. He worked at Sony Computer Science Lab in Tokyo as a researcher for 8 years and then started his lab as a PI in Riken Brain Science Inst. 12 years ago. He was appointed a visiting associate professor at the Univ. of Tokyo and a visiting researcher in Sony Intelligent Dynamic Lab. He moved to KAIST as a full professor in May, 2012.

He has been interested in neuro-robotics, theoretical problems in cognitive neuroscience, and complex systems. He has authored around 70 journal papers and 90 conference papers. He has been invited for his plenary talks in various international conferences including IEEE ICRA in 2005 and ICANN in 2014. He has served on editorial boards in IEEE Trans. Autonomous Mental Development, Adaptive Behavior, and Frontier in Neurorobotics.

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