Lifeboat Foundation

Electrocorticography (ECoG) was pioneered in the early 1950s by Wilder Penfield and Herbert Jasper, neurosurgeons at the Montreal Neurological Institute. The two developed ECoG as part of their groundbreaking Montreal procedure, a surgical protocol used to treat patients with severe epilepsy. The cortical potentials recorded by ECoG were used to identify epileptogenic zones – regions of the cortex that generate epileptic seizures. These zones would then be surgically removed from the cortex during resectioning, thus destroying the brain tissue where epileptic seizures had originated. Penfield and Jasper also used electrical stimulation during ECoG recordings in patients undergoing epilepsy surgery under local anesthesia. This procedure was used to explore the functional anatomy of the brain, mapping speech areas and identifying the somatosensory and somatomotor cortex areas to be excluded from surgical removal. This week we learned that Google has filed a patent relating to this medical field titled “Microelectrode Array for an Electrocorticogram.”

Google’s patent FIG. 6 noted above shows an application of the microelectrode array 1 according to the invention when recording an electrocorticogram of a human being. The microelectrode array is wirelessly connected to an electronic control device 10, which comprises in particular an amplifier for the electrode signals and a data acquisition system. The microelectrode array, implanted e.g. below the patient’s scalp, has an energy receiving coil 60 and an antenna 61 for bidirectional data transfer between the microelectrode array 1 and the electronic control device. It is also possible for the energy receiving coil simultaneously to be used as an antenna, such that no separate antenna is required.

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In the last few years, the topic of artificial intelligence (AI) has been thrust into the mainstream. No longer just the domain of sci-fi fans, nerds or Google engineers, I hear people discussing AI at parties, coffee shops and even at the dinner table: My five-year-old daughter brought it up the other night over taco lasagna. When I asked her if anything interesting had happened in school, she replied that her teacher discussed smart robots.

The exploration of intelligence — be it human or artificial — is ultimately the domain of epistemology, the study of knowledge. Since the first musings of creating AI back in antiquity, epistemology seems to have led the debate on how to do it. The question I hear most in this field from the public is: How can humans develop another intelligent consciousness if we can’t even understand our own?

It’s a prudent question. The human brain, despite being only about 3 pounds in weight, is the least understood organ in the body. And with a billion neurons — with 100 trillion connections — it’s safe to say it’s going to be a long time before we end up figuring out the brain.

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We all have different circadian rhythms but they slow down during aging, and we may be able to do something about it.

Your body is in a state of constant flux and the circadian rhythm is its master regulator, controlling everything from sleep cycles to appetite and beyond. Jet lag is a side effect of a confused internal cycle as it adjusts to a new timetable. Shift work and irregular patterns of activity can also potentially cause some serious problems if sustained for a long period, including raising risk of type 2 diabetes, dementia and all cause mortality.

When researchers studied aging mice, they saw a progressive decline in levels of molecules called polyamines. These are involved with a number of processes, but particularly in cell growth and circadian rhythm. The drop in polyamines also coincided with a slowing of their circadian cycle — which increased disease risk.

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Can we, as adults, grow new neurons? Neuroscientist Sandrine Thuret says that we can, and she offers research and practical advice on how we can help our brains better perform neurogenesis—improving mood, increasing memory formation and preventing the decline associated with aging along the way.

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Our bodies aren’t meant for space. We require too much maintenance to speed through the stars. We need a steady supply of things absent from space — namely water, food and oxygen. We crave warmth but won’t find it in deep space, where the average temperature is −455 degrees Fahrenheit. Even if we could survive in an icy vacuum without sustenance, we’d probably go insane without distractions and room to move.

But aeronautic engineers believe they have found the key to solving that puzzle: put your space travelers to sleep. Long-term cryogenic and hibernative sleep may be the key to getting humans to Mars, and beyond. But it may first come to a spa near you.

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Scientists have managed to grow a miniature brain, and there’s a whole bunch of other so called ‘organoids’ we’re currently learning to perfect. We can now add kidneys to the tick box.

There have been a few mini-organ breakthroughs lately, and now we can grow simple kidneys in the lab too.

Regenerative medicine has incredible promise and provides hope that one day virtually any injury could be corrected. Scientists have managed to grow a miniature brain, and there’s a whole bunch of other so called ‘organoids’ we’re currently learning to perfect. We can now add kidneys to the tick box.

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Science fiction is one step closer to reality.

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I consider Ray Kurzweil a very close friend and a very smart person. Ray is a brilliant technologist, futurist, and a director of engineering at Google focused on AI and language processing. He has also made more correct (and documented) technology predictions about the future than anyone:

As reported, “of the 147 predictions that Kurzweil has made since the 1990s, fully 115 of them have turned out to be correct, and another 12 have turned out to be “essentially correct” (off by a year or two), giving his predictions a stunning 86% accuracy rate.”

Two weeks ago, Ray and I held an hour-long webinar with my Abundance 360 CEOs about predicting the future. During our session, there was one of Ray’s specific predictions that really blew my mind.

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Your mind, in all its complexity, dies with you. And that’s it.

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