Lifeboat Foundation

From 2018, Dr. Jon LaPook’s groundbreaking report following an Alzheimer’s patient and her caregiver husband for 10 years to document the struggles they face. From 2019, Bill Whitaker’s heartbreaking look at frontotemporal dementia. From July 2017, Lesley Stahl’s examination of efforts to prevent Alzheimer’s. And from this past January, Sharyn Alfonsi’s story on a new approach to brain surgery that could revolutionize the treatment of Alzheimer’s disease.

#news #alzheimer #dementia.

Researchers at the Technion – Israel Institute of technology in Haifa have shown that boosting a person’s mental state could help them recover from a heart attack.

The researchers focused on the reward system – a network in the brain that is activated when a person is motivated or in a positive emotional state – in order to ascertain its impact on recovery from a heart attack, formally known as an acute myocardial infarction (AMI).

They found that activating this system in mice led to better clinical outcomes and reduced scarring of the heart tissue. And while the science behind the link between the brain and the heart is still undefined, the Technion said the study raises hopes of improved treatment for heart disease.

A 13-year-old boy named Oran Knowlson has become the world’s first patient to test out a brain stimulation implant to treat severe epilepsy.

Knowlson was sometimes having hundreds of seizures per day before the device was fitted. His family has stated that he’s already seeing positive changes compared to his condition before implanting the device.

Several studies have indicated that interrupted epigenetic reprogramming using Yamanaka transcription factors (OSKM) can rejuvenate cells from old laboratory animals and humans. However, the potential of OSKM-induced rejuvenation in brain tissue has been less explored. Here, we aimed to restore cognitive performance in 25.3-month-old female Sprague–Dawley rats using OSKM gene therapy for 39 days. Their progress was then compared with the cognitive performance of untreated 3.5-month-old rats as well as old control rats treated with a placebo adenovector. The Barnes maze test, used to assess cognitive performance, demonstrated enhanced cognitive abilities in old rats treated with OSKM compared to old control animals. In the treated old rats, there was a noticeable trend towards improved spatial memory relative to the old controls.

Mind to speech tech. Remember. Military is using secret tech. Thats not modern stuff… It only looks like.

Introduction to Brain-Computer Interface Technology.

Is your mind blown yet? It should be.

We might never reach the stage where we could perform such an experiment, but thinking about it raises several interesting questions. Why is what we believe about how the world works inconsistent with quantum mechanics? Is there an objective reality, even on the macroscopic scale? Or is what you see different than what I see? Do we have a choice in what we do?

At least one thing is for sure: We are not seeing the whole picture. Maybe our understanding of quantum mechanics is incomplete, or maybe something changes when we scale it to the macroscopic world. But perhaps our role as conscious observers of the world around us is, indeed, unique.

For the first time, scientists have discovered that a small region of our brain shuts down to take microsecond-long naps while we’re awake. What’s more, these same areas ‘flicker’ awake while we’re asleep. These new findings could offer pivotal insights into neurodevelopmental and neurodegenerative diseases, which are linked to sleep dysregulation.

Scientists from Washington University in St. Louis (WashU) and the University of California Santa Cruz (UCSC) made these findings by accident, noticing how brain waves in one tiny area of the brain shut down suddenly for just milliseconds when we’re awake. And in this same region, those brain waves jolt suddenly, for the same amount of time, when we’re asleep.

“With powerful tools and new computational methods, there’s so much to be gained by challenging our most basic assumptions and revisiting the question of ‘what is a state?’” said Keith Hengen, Assistant Professor of Biology at WashU. “Sleep or wake is the single greatest determinant of your behavior, and then everything else falls out from there. So if we don’t understand what sleep and wake actually are, it seems like we’ve missed the boat.”

The brain, arrives at the claim that it possesses a non-physical, subjective awareness and assigns a high degree of certainty to that extraordinary claim. The theory does not address how the brain might actually possess a non-physical essence. It is not a theory that deals in the non-physical. It is about the computations that cause a machine to make a claim and to assign a high degree of certainty to the claim. The theory is offered as a possible starting point for building artificial consciousness. Given current technology, it should be possible to build a machine that contains a rich internal model of what consciousness is, attributes that property of consciousness to itself and to the people it interacts with, and uses that attribution to make predictions about human behavior. Such a machine would “believe” it is conscious and act like it is conscious, in the same sense that the human machine believes and acts.

This article is part of a special issue on consciousness in humanoid robots. The purpose of this article is to summarize the attention schema theory (AST) of consciousness for those in the engineering or artificial intelligence community who may not have encountered previous papers on the topic, which tended to be in psychology and neuroscience journals. The central claim of this article is that AST is mechanistic, demystifies consciousness and can potentially provide a foundation on which artificial consciousness could be engineered. The theory has been summarized in detail in other articles (e.g., Graziano and Kastner, 2011; Webb and Graziano, 2015) and has been described in depth in a book (Graziano, 2013). The goal here is to briefly introduce the theory to a potentially new audience and to emphasize its possible use for engineering artificial consciousness.

The AST was developed beginning in 2010, drawing on basic research in neuroscience, psychology, and especially on how the brain constructs models of the self (Graziano, 2010, 2013; Graziano and Kastner, 2011; Webb and Graziano, 2015). The main goal of this theory is to explain how the brain, a biological information processor, arrives at the claim that it possesses a non-physical, subjective awareness and assigns a high degree of certainty to that extraordinary claim. The theory does not address how the brain might actually possess a non-physical essence. It is not a theory that deals in the non-physical. It is about the computations that cause a machine to make a claim and to assign a high degree of certainty to the claim. The theory is in the realm of science and engineering.

Human brain organoids are three-dimensional masses of tissues derived from human stem cells that partially recapitulate the characteristics of the human brain. They have promising applications in many fields, from basic research to applied medicine. However, ethical concerns have been raised regarding the use of human brain organoids. These concerns primarily relate to the possibility that brain organoids may become conscious in the future. This possibility is associated with uncertainties about whether and in what sense brain organoids could have consciousness and what the moral significance of that would be. These uncertainties raise further concerns regarding consent from stem cell donors who may not be sufficiently informed to provide valid consent to the use of their donated cells in human brain organoid research.