Lifeboat Foundation

Many of you will likely already know who Professor George Church is and that he is an important and senior member of the research community engaged in treating the aging processes to prevent or reverse age-related diseases, not to mention all kinds of other applications for genetic engineering. For those who are not familiar with him a short bio follows.

George Church is a professor at Harvard & MIT, the co-author of over 425 papers, 95 patent publications and the book Regenesis. He developed the methods used for the first genome sequence back in 1994 and he was instrumental in reducing the costs since then using next generation sequencing and nanopores plus barcoding, DNA assembly from chips, genome editing, writing and re-coding.

He co-initiated the Genome projects in 1984 and 2005 to create and interpret the world’s only open-access personal precision medicine datasets. He was also involved in launching the BRAIN Initiative in 2011.

Theoretical physicist Lucien Hardy is pushing wants to push the boundaries of quantum physics by performing a Bell test using humans as links. This could potentially shed light on the existence of human consciousness and just what it is made of.

Perhaps one of the most intriguing and interesting phenomena in quantum physics is what Einstein referred to as a “spooky action at a distance” — also known as quantum entanglement. This quantum effect is behind what makes quantum computers work, as quantum bits (qubits) generally rely on entanglement to process data and information. It’s also the working theory behind the possibility of quantum teleportation.

Continue reading “Scientists Have an Experiment to See If the Human Mind Is Bound to the Physical World” »

Become a citizen neuroscientist.

By playing Mozak you can advance our understanding of the brain. Each player becomes a neuroscientist that maps the structure of individual neurons. In doing so, you also receive feedback from experts at the Allen Institute for Brain Science and contribute to their massive effort to solve the secrets of the brain.

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New research pinpoints the a-ha moment when information enters the human consciousness.

Neuroscientist Moran Cerf has found people’s brain activity aligns when they’re in each other’s company. The finding can be used to maximize happiness.

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“He learns to manage his image in the minds of others, and finds himself reflected, as in a mirror, through the interface of language and non-verbal communication […] The self is not unitary and separate from others; peopling occurs in the context of mutual-mental-modeling relationships, which continue to affect each person when he is alone…” sarah perry.

Via The Surg)

But if there is some kind of unifying computational principle governing our grey matter, what is it? Dr. Tsien has studied this for over a decade, and he believes he’s found the answer in something called the Theory of Connectivity.

“Many people have long speculated that there has to be a basic design principle from which intelligence originates and the brain evolves, like how the double helix of DNA and genetic codes are universal for every organism,” Tsien said. “We present evidence that the brain may operate on an amazingly simple mathematical logic.”

The Theory of Connectivity holds that a simple algorithm, called a power-of-two-based permutation taking the form of n=2ⁱ-1 can be used to explain the circuitry of the brain. To unpack the formula, let’s define a few key concepts from the theory of connectivity, specifically the idea of a neuronal clique. A neuronal clique is a group of neurons which “fire together” and cluster into functional connectivity motifs, or FCMs, which the brain uses to recognize specific patterns or ideas. One can liken it to branches on a tree, with the neuronal clique being the smallest unit of connectivity, a mere twig, which when combined with other cliques, link up to form an FCM. The more complex the idea being represented in the brain, the more convoluted the FCM. The n in n=2ⁱ-1 specifies the number of neuronal cliques that will fire in response to a given input, i.

Continue reading “Scientists discover nature’s algorithm for intelligence” »