Lifeboat Foundation

Elon Musk’s Neuralink rival Synchron has begun human trials of its brain implant that lets the wearer control a computer using thought alone.

The firm’s Stentrode brain implant, about the size of a paperclip, will be implanted in six patients in New York and Pittsburgh who have severe paralysis.

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In this video we discuss, Science Fiction book, “Children of Time” By Adrian Tchaikovsky. It’s the best book I’ve read this year by a long shot! It’s about evolution, consciousness, humanity’s future, and more! Also SPIDERS!

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Scientists have uncovered changes in neurological structure that could underlie the autism spectrum disorder known as Pitt Hopkins syndrome, thanks to the help of lab-grown brains developed from human cells.

Furthermore, the researchers were able to recover lost genetic functions through the use of two different gene therapy strategies – hinting at the possibility of treatments that could one day give those with the condition new options in improving their quality of life.

Pitt Hopkins syndrome is a neurodevelopmental condition stemming from a mutation in a DNA-management gene called transcription factor 4 (TCF4). Classed on the autism spectrum on account of its severe impact on motor skills and sensory integration, it’s a complex condition that presents with a range of severities.

From search engines to voice assistants, computers are getting better at understanding what we mean. That’s thanks to language-processing programs that make sense of a staggering number of words, without ever being told explicitly what those words mean. Such programs infer meaning instead through statistics—and a new study reveals that this computational approach can assign many kinds of information to a single word, just like the human brain.

The study, published April 14 in the journal Nature Human Behavior, was co-led by Gabriel Grand, a graduate student in electrical engineering and computer science who is affiliated with MIT’s Computer Science and Artificial Intelligence Laboratory, and Idan Blank Ph.D. ‘16, an assistant professor at the University of California at Los Angeles. The work was supervised by McGovern Institute for Brain Research investigator Ev Fedorenko, a cognitive neuroscientist who studies how the human brain uses and understands language, and Francisco Pereira at the National Institute of Mental Health. Fedorenko says the rich knowledge her team was able to find within computational language models demonstrates just how much can be learned about the world through language alone.

The research team began its analysis of statistics-based language processing models in 2015, when the approach was new. Such models derive meaning by analyzing how often pairs of words co-occur in texts and using those relationships to assess the similarities of words’ meanings. For example, such a program might conclude that “bread” and “apple” are more similar to one another than they are to “notebook,” because “bread” and “apple” are often found in proximity to words like “eat” or “snack,” whereas “notebook” is not.

This article argues that consciousness has a logically sound, explanatory framework, different from typical accounts that suffer from hidden mysticism. The article has three main parts. The first describes background principles concerning information processing in the brain, from which one can deduce a general, rational framework for explaining consciousness. The second part describes a specific theory that embodies those background principles, the Attention Schema Theory. In the past several years, a growing body of experimental evidence—behavioral evidence, brain imaging evidence, and computational modeling—has addressed aspects of the theory. The final part discusses the evolution of consciousness. By emphasizing the specific role of consciousness in cognition and behavior, the present approach leads to a proposed account of how consciousness may have evolved over millions of years, from fish to humans. The goal of this article is to present a comprehensive, overarching framework in which we can understand scientifically what consciousness is and what key adaptive roles it plays in brain function.

Abstract

As a sensate infrastructure, the body conveys information to and from the brain to complete a perceptual concordance with consciousness. This system of reciprocal communication both positions consciousness in spacetime, and allows that consciousness is dependent upon the body to roam. Through movement we comprehend. The corporeal occupation of spacetime permits human consciousness access to the phenomena of its physical environment, whereby it uses language (utterance) to both construct and describe this existence. This mediated transmission evolved into story and narrative in an attempt to apprehend, control and more importantly convey what is perceived. It is precisely the components of space and time, critical elements to our own existence that play such a paramount role in our ability to generate meaning and narrative comprehension. As our dimensional understanding has evolved and extended, so too has our understanding that space and time are crucial components of narrative. With the emergence of auxiliary narrative spaces, this movement of consciousness affords opportunities to create new narrative imperatives. In the theoretical realm of physics, the tesseract makes it possible to overcome the restraints of time. The tesseract is a gravitational wormhole that represents the physical compression of space that circumvents time in order to move from one location in spacetime to another. The index, as part of the body, but also the mechanism for applying a collapsed signification, requires both utterance (mediation) and event (temporal-frame) in order to create cognitive meaning. The indexical functions as a linguistic tesseract that collapses language creating a bridge over the semantic divide between utterance and meaning. This paper places the function and potential of the tesseract within the paradigm of cognitive narratology through the argument that compression is the mechanism for narrative construction of story, autopoiesis, and the locality of self.

“The Earth has entered a radically new era, understood by scientists as the Anthropocene: a time when humanity reckons with massive geologic and biospheric forces we, as anthropos, have set in motion. The agency of Nature and the reality of humanity as a collective geologic force is becoming understood differently, even within the Western paradigm. It is a new world our children will inherit, for if humanity is to survive, we must come into new realizations of our place within the planetary life-support systems. To lay a path for future generations through the evolutionary steps that humanity must now take to learn to live in balance with the planet, science must come to balance with Spirit.” ―Oberon Zell, GaeaGenesis.

#OberonZell #GaeaGenesis #GaiaHypothesis #SyntellectHypothesis #GlobalMind #theosophy #consciousness

In the early 1970s, celebrated philosopher and mystic Oberon Zell was the first to propose the radical idea that the biosphere of Earth was a single living superorganism. His initial article on the subject electrified the emerging modern movement of Earth-based spirituality, generating volumes of correspondence, lecture tours, and further articles in various journals and books.

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For years, the brain has been thought of as a biological computer that processes information through traditional circuits, whereby data zips straight from one cell to another. While that model is still accurate, a new study led by Salk Professor Thomas Albright and Staff Scientist Sergei Gepshtein shows that there’s also a second, very different way that the brain parses information: through the interactions of waves of neural activity. The findings, published in Science Advances on April 22, 2022, help researchers better understand how the brain processes information.

“We now have a new understanding of how the computational machinery of the brain is working,” says Albright, the Conrad T. Prebys Chair in Vision Research and director of Salk’s Vision Center Laboratory. “The model helps explain how the brain’s underlying state can change, affecting people’s attention, focus, or ability to process information.”

Researchers have long known that waves of electrical activity exist in the brain, both during sleep and wakefulness. But the underlying theories as to how the brain processes information—particularly sensory information, like the sight of a light or the sound of a bell—have revolved around information being detected by specialized brain cells and then shuttled from one neuron to the next like a relay.

A 200-μm scale 3D reconstruction of the human brain was created based on ultrahigh-field quantitative MRI and light microscopy.