Lifeboat Foundation

‘Mechanism’ is a frequently used causal concept in neuroscience but can have different meanings that are often not specified. In this Review, Ross and Bassett explore these different meanings and the challenges associated with the variable usage of this term before discussing how these challenges may be met.

Stanford Medicine scientists used transcranial magnetic stimulation to temporarily enhance hypnotizability in patients with chronic pain, making them better candidates for hypnotherapy.

How deeply someone can be hypnotized — known as hypnotizability — appears to be a stable trait that changes little throughout adulthood, much like personality and IQ. But now, for the first time, Stanford Medicine researchers have demonstrated a way to temporarily heighten hypnotizablity — potentially allowing more people to access the benefits of hypnosis-based therapy.

In the new study, published on January 4 in Nature Mental Health, the researchers found that less than two minutes of electrical stimulation targeting a precise area of the brain could boost participants’ hypnotizability for about one hour.

The purpose of the attention schema theory is to explain how an information-processing device, 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.

Members’ SeminarTopic: Towards a mathematical model of the brainSpeaker: Lai-Sang YoungAffiliation: New York University; Distinguished Visiting Professor, Sc…

When learning, patients with schizophrenia or depression have difficulty making optimal use of information that is new to them. In the learning process, both groups of patients give greater weight to less important information and, as a result, make less than ideal decisions.

This was the finding of a several-months-long study conducted by a team led by neuroscientist Professor Dr. med. Markus Ullsperger from the Institute of Psychology at Otto von Guericke University Magdeburg in collaboration with colleagues from the University Clinic for Psychiatry & Psychotherapy and the German Center for Mental Health.

By using electroencephalography (EEG) and complex mathematical computer modeling, the team of researchers discovered that learning deficits in depressive and schizophrenic patients are caused by diminished/reduced flexibility in the use of new information.

There is a neurological link between serotonin levels and the brain’s ability to control impulses and patience levels.

Summary: Researchers create a transparent graphene-based neural implant offering high-resolution brain activity data from the surface. The implant’s dense array of tiny graphene electrodes enables simultaneous recording of electrical and calcium activity in deep brain layers.

This innovation overcomes previous implant limitations and offers insights for neuroscientific studies. The transparent design allows optical imaging alongside electrical recording, revolutionizing neuroscience research.

An international scientific team including more than 40 authors from seven different countries, led by a researcher at the University of Malaga Juan Pascual Anaya, has managed to sequence the first genome of the myxini, also known as hagfish, the only large group of vertebrates for which there has been no reference genome of any of its species yet.

This finding, published in the journal Nature Ecology & Evolution, has allowed for deciphering the evolutionary history of genome duplications that occurred in the ancestors of vertebrates, a group that includes humans.

“This study has important implications in the evolutionary and molecular field, as it helps us understand the changes in the genome that accompanied the origin of vertebrates and their most unique structures, such as the complex brain, the jaw and the limbs,” explains the scientist of the Department of Animal Biology of the UMA Pascual Anaya, who has coordinated the research.

Last week, researchers at the West Virginia University Rockefeller Neuroscience Institute reported that by using focused ultrasound to open the blood-brain barrier, they improved delivery of a new Alzheimer’s treatment and sped up clearance of the sticky plaques that are thought to contribute to some of the cognitive and memory problems in people with Alzheimer’s by 32%.

For this issue of The Checkup, we’ll explore some of the ways scientists are trying to disrupt the blood-brain barrier.

In the West Virginia study, three people with mild Alzheimer’s received monthly doses of aducanumab, a lab-made antibody that is delivered via IV. This drug, first approved in 2021, helps clear away beta-amyloid, a protein fragment that clumps up in the brains of people with Alzheimer’s disease. (The drug’s approval was controversial, and it’s still not clear whether it actually slows progression of the disease.) After the infusion, the researchers treated specific regions of the patients’ brains with focused ultrasound, but just on one side. That allowed them to use the other half of the brain as a control. PET scans revealed a greater reduction in amyloid plaques in the ultrasound-treated regions than in those same regions on the untreated side of the brain, suggesting that more of the antibody was getting into the brain on the treated side.