Lifeboat Foundation

A single-celled organism with no brain or nervous system to speak of may still form memories and pass those memories on to future generations, according to new research.

The ubiquitous bacterium, Escherichia coli, is one of the most well-studied life forms on Earth, and yet scientists are still discovering unexpected ways that it survives and spreads.

Researchers at the University of Texas and the University of Delaware have now uncovered a potential memory system that allows E. coli to ‘remember’ past experiences for several hours and generations thereafter.

In particular I like the 3D modeling segment.

Here Dr Seranova talks about stem cell use in helping with research into diseases of aging, particularly generating organiods of the brain by growing them from stem cells.
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Continue reading “The Promise Of Stem Cells In Aging Research | Dr Elena Seranova Interview Series Ep3” »

Plus, Charlie McDonnell and Jess Boddy join Weirdest Thing to talk about secret teatime energy reserves and quicksand secrets.

Human consciousness is not confined to the brain and body, but is embedded within non-local fields of information, and trusting intuitive feelings can lead to unexpected and successful outcomes.

Key insights.

Continue reading “Unlock Your Intuitive Intelligence: 7 Secrets Revealed” »

Studies find a densely connected network of neurons that communicate over long distances, rather than across synapses.

The question is not whether there will be a machine that can read your mind. Rather, it is when. Before that, governments across the world need to consider ‘neurorights’ to protect citizens’ brains against neurotechnology.

Contrary to the commonly-held view, the brain does not have the ability to rewire itself to compensate for the loss of sight, an amputation or stroke, for example, say scientists from the University of Cambridge and Johns Hopkins University.

Meta, the parent company of Facebook, has made a groundbreaking development in brain-computer interface technology. They have unveiled an AI system that can decode visual representations and even “hear” what someone is hearing by studying their brainwaves. These advancements in brain-machine interface technology have the potential to transform our relationship with artificial intelligence and its potential applications in healthcare, communication, and virtual reality.

The University of Texas at Austin has developed a new technology that can translate brain activity into written text without surgical implants. This breakthrough uses functional Magnetic Resonance Imaging (fMRI) scan data to reconstruct speech. An AI-based decoder then creates text based on the patterns of neuronal activity that correspond to the intended meaning. This new technology could help people who have lost the ability to speak due to conditions such as stroke or motor neuron disease.

Despite the fMRI having a time lag, which makes tracking brain activity in real-time challenging, the decoder was still able to achieve impressive accuracy. The University of Texas researchers faced challenges in dealing with the inherent “noisiness” of brain signals picked up by sensors, but by employing advanced technology and machine learning, they successfully aligned representations of speech and brain activity. The decoder works at the level of ideas and semantics, providing the gist of thoughts rather than an exact word-for-word translation. This study marks a significant advance in non-invasive brain decoding, showcasing the potential for future applications in neuroscience and communication.

A speech prosthetic developed by a collaborative team of Duke neuroscientists, neurosurgeons, and engineers can translate a person’s brain signals into what they’re trying to say.