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Part of the cognitive neuroscience bitesize series. This is a follow-up of ‘basics of fMRI’ that considers exciting developments in mapping the human connect…
Category: neuroscience – Page 512
I promise you: this post is going to tell a scientifically coherent story that involves all five topics listed in the title. Not one can be omitted.
My story starts with a Zoom talk that the one and only Lenny Susskind delivered for the Simons Institute for Theory of Computing back in May. There followed a panel discussion involving Lenny, Edward Witten, Geoffrey Penington, Umesh Vazirani, and your humble shtetlmaster.
Lenny’s talk led up to a gedankenexperiment involving an observer, Alice, who bravely jumps into a specially-prepared black hole, in order to see the answer to a certain computational problem in her final seconds before being ripped to shreds near the singularity. Drawing on earlier work by Bouland, Fefferman, and Vazirani, Lenny speculated that the computational problem could be exponentially hard even for a (standard) quantum computer. Despite this, Lenny repeatedly insisted—indeed, he asked me again to stress here—that he was not claiming to violate the Quantum Extended Church-Turing Thesis (QECTT), the statement th at all of nature can be efficiently simulated by a standard quantum computer. Instead, he was simply investigating how the QECTT needs to be formulated in order to be a true statement.
Autism spectrum disorder (ASD) is a neurological and developmental condition that affects how humans communicate, learn new things and behave. Symptoms of ASD can include difficulties in interacting with others and adapting to changes in routine, repetitive behaviors, irritability and restricted or fixated interests for specific things.
While symptoms of autism can emerge at any age, the first signs generally start to show within the first two years of a child’s life. People with ASD can encounter numerous challenges, which can be addressed through support services, talk therapy and sometimes medication.
To this day, neuroscientists and medical researchers have not identified the primary causes of ASD. Nonetheless, past findings suggest that it could be caused by the interaction of specific genes with environmental factors.
In our latest article, our Divisional Chief Nurse, Clare, discusses the social effects of friendships for people with learning disabilities and/or autism and the importance of those friendships. She also discusses how COVID-19 and the different restrictions have affected people with learning disabilities and/or autism and how best to support them.
Elementary school-age children who get less than nine hours of sleep per night have significant differences in certain brain regions responsible for memory, intelligence and well-being compared to those who get the recommended nine to 12 hours of sleep per night, according to a new study led by University of Maryland School of Medicine (UMSOM) researchers. Such differences correlated with greater mental health problems, like depression, anxiety, and impulsive behaviors, in those who lacked sleep. Inadequate sleep was also linked to cognitive difficulties with memory, problem solving and decision making. The findings were published today in the journal The Lancet Child & Adolescent Health.
The American Academy of Sleep Medicine recommends that children aged six to 12 years of age sleep 9 to 12 hours per night on a regular basis to promote optimal health. Up until now, no studies have examined the long-lasting impact of insufficient sleep on the neurocognitive development of pre-teens.
To conduct the study, the researchers examined data that were collected from more than 8,300 children aged nine to 10 years who were enrolled in the Adolescent Brain Cognitive Development (ABCD) study. They examined MRI images, medical records, and surveys completed by the participants and their parents at the time of enrollment and at a two-year follow-up visit at 11 to 12 years of age. Funded by the National Institutes of Health (NIH), the ABCD study is the largest long-term study of brain development and child health in the U.S.
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This is a video I have promised you almost two years ago: How does superdeterminism make sense of quantum mechanics? It’s taken me a long time to finish this because I have tried to understand why people dislike the idea that everything is predetermined so much. I hope that in this video I have addressed the biggest misconceptions. I genuinely think that discarding superdeterminism unthinkingly is the major reason that research in the foundations of physics is stuck.
If you want to know more about superdeterminism, these two papers (and references therein) may give you a good starting point:
A gene that University of Virginia (UVA) Health researchers have discovered is responsible for the deadliest type of brain tumor is also responsible for two forms of childhood cancer, the scientists have found.
The new discovery may open the door to the first targeted treatments for two types of rhabdomyosarcoma, a cancer of the soft tissue that primarily strikes young children.
The gene may also play an important role in other cancers that form in muscle, fat, nerves and other connective tissues in both children and adults, the research suggests.
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From Human to Artificial General Intelligence
Humans have an almost unbounded set of skills and knowledge, and quickly learn new information without needing to be re-engineered to do so. It is conceivable that an AGI can be built using an approach that is fundamentally different from human intelligence. However, as three longtime researchers in AI and cognitive science, our approach is to draw inspiration and insights from the structure of the human mind. We are working toward AGI by trying to better understand the human mind, and better understand the human mind by working toward AGI.
From research in neuroscience, cognitive science, and psychology, we know that the human brain is neither a huge homogeneous set of neurons nor a massive set of task-specific programs that each solves a single problem. Instead, it is a set of regions with different properties that support the basic cognitive capabilities that together form the human mind.
Throughout life, cells of the body acquire somatic mutations. In frozen post-mortem human brains, researchers from Yale University have found that somatic, or non-inherited, mutations are considerably more likely to accumulate in roughly 6% of brains, and these “hypermutable” brains are typically 40 years of age or older.
The behavior, comparable to clonal hematopoiesis in the bone marrow that can result in blood cancer in elderly people, is attributed to cell lines with mutations that outcompete other cell lines.
This is the first large-scale study of somatic mutations in human brains. Scientists were not expecting to find this hypermutability in older populations.