Lifeboat Foundation

The primary question we will attempt to investigate in this article is whether consciousness is a fundamental property of nature, or is it an emergent phenomenon. The nature of consciousness is shrouded in mystery. Although we understand a lot about how the world works from a third person perspective, we don’t understand the source of consciousness, even though everything we know is due to consciousness. Our conclusion is that consciousness is likely an emergent phenomenon. Consciousness emerges from physical matter (due to the arrangement of and interactions between physical matter), and ordered complexity is simply a fortunate product of random processes. We claim that defining consciousness as a fundamental property of the universe is not scientific. We also provide some evidence as to why it is likely that consciousness is emergent from physical matter.

In this article, we will also be addressing the question of whether we need fundamentally new kinds of laws to explain complex phenomena, or can extensions of the existing laws governing simpler phenomena successfully explain more complex phenomena. It is crucial to understand this question in order to obtain a better understanding of the way complexity arises from simplicity. This question is interdisciplinary in nature and would possibly have an effect on less fundamental sciences (like medical sciences), other than physics. The question involves chaos theory, emergence and many other concepts.

Gene therapy shows promise in repairing damaged brain tissue from strokes.

From the NIH Director’s Blog by Dr. Francis Collins.

It’s a race against time when someone suffers a stroke caused by a blockage of a blood vessel supplying the brain. Unless clot-busting treatment is given within a few hours after symptoms appear, vast numbers of the brain’s neurons die, often leading to paralysis or other disabilities. It would be great to have a way to replace those lost neurons. Thanks to gene therapy, some encouraging strides are now being made.

Continue reading “Gene therapy shows promise repairing brain tissue damaged by stroke” »

Machines won’t become intelligent unless they incorporate certain features of the human brain. Here are three of them.

Our brains constantly work to make predictions about what’s going on around us, for instance to ensure that we can attend to and consider the unexpected. A new study examines how this works during consciousness and also breaks down under general anesthesia. The results add evidence for the idea that conscious thought requires synchronized communication—mediated by brain rhythms in specific frequency bands—between basic sensory and higher-order cognitive regions of the brain.

Previously, members of the research team in The Picower Institute for Learning and Memory at MIT and at Vanderbilt University had described how brain rhythms enable the brain to remain prepared to attend to surprises.

Cognition-oriented brain regions (generally at the front of the brain), use relatively low frequency alpha and beta rhythms to suppress processing by sensory regions (generally toward the back of the brain) of stimuli that have become familiar and mundane in the environment (e.g. your co-worker’s music). When sensory regions detect a surprise (e.g. the office fire alarm), they use faster frequency gamma rhythms to tell the higher regions about it and the higher regions process that at gamma frequencies to decide what to do (e.g. exit the building).

Next-generation technologies, such as leading-edge memory storage solutions and brain-inspired neuromorphic computing systems, could touch nearly every aspect of our lives — from the gadgets we use daily to the solutions for major global challenges. These advances rely on specialized materials, including ferroelectrics — materials with switchable electric properties that enhance performance and energy efficiency.

A research team led by scientists at the Department of Energy’s Oak Ridge National Laboratory has developed a novel technique for creating precise atomic arrangements in ferroelectrics, establishing a robust framework for advancing powerful new technologies. The findings are published in Nature Nanotechnology (“On-demand nanoengineering of in-plane ferroelectric topologies”).

“Local modification of the atoms and electric dipoles that form these materials is crucial for new information storage, alternative computation methodologies or devices that convert signals at high frequencies,” said ORNL’s Marti Checa, the project’s lead researcher. “Our approach fosters innovations by facilitating the on-demand rearrangement of atomic orientations into specific configurations known as topological polarization structures that may not naturally occur.” In this context, polarization refers to the orientation of small, internal permanent electric fields in the material that are known as ferroelectric dipoles.

Neuromorphic engineering is a cutting-edge field that focuses on developing computer hardware and software systems inspired by the structure, function, and behavior of the human brain. The ultimate goal is to create computing systems that are significantly more energy-efficient, scalable, and adaptive than conventional computer systems, capable of solving complex problems in a manner reminiscent of the brain’s approach.

This interdisciplinary field draws upon expertise from various domains, including neuroscience, computer science, electronics, nanotechnology, and materials science. Neuromorphic engineers strive to develop computer chips and systems incorporating artificial neurons and synapses, designed to process information in a parallel and distributed manner, akin to the brain’s functionality.

Key challenges in neuromorphic engineering encompass developing algorithms and hardware capable of performing intricate computations with minimal energy consumption, creating systems that can learn and adapt over time, and devising methods to control the behavior of artificial neurons and synapses in real-time.

Researchers have developed a method to recreate the formation of Lewy bodies in human neurons, shedding light on the essential roles of alpha-synuclein and immune responses in their development. This breakthrough offers new insights into Parkinson’s disease, showing that Lewy bodies form only under specific conditions and highlighting the potential…

A widely available and inexpensive antidepressant drug may soon save lives from an altogether different kind of disease.

The growth of the most aggressive and deadly brain cancer, glioblastoma, was effectively suppressed in both ex vivo human tissue samples and in living mice by an FDA approved serotonin modulator currently used to treat major depression.

It’s not a cure, but it may offer some relief and constitute an effective part of a treatment regime for glioblastoma patients. Human clinical trials are the next step; patients are cautioned against self-medicating at this stage.

Summary: A new study has shown that conscious thought relies on synchronized brain rhythms to maintain communication between sensory and cognitive brain regions. Under general anesthesia, this rhythm-based communication breaks down, disrupting the brain’s ability to detect and process surprising stimuli.

The research provides evidence that specific brain frequencies enable conscious awareness by linking the front and back of the brain, where cognitive and sensory functions reside. This finding sheds light on the neural mechanisms of consciousness and offers insights into how anesthesia disrupts our ability to perceive and respond to unexpected events.