Lifeboat Foundation: Safeguarding Humanity
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Category: neuroscience – Page 799

My most recent post, “Living in a Computer Simulation,” elicited some insightful comments from a reader skeptical of the possibility of mind uploading. Here is his argument with my own brief response to it below.

My comment concerns a reductive physicalist theory of the mind, which is the view that all mental states and properties of the mind will eventually be explained by scientific accounts of physiological processes and states … Basically, my argument is that for this view of the mind, mind uploading into a computer is completely impractical due to accumulation of errors.

In order to replicate the functioning of a “specific” human mind within a computer, one needs to replicate the functioning of all parts of that specific brain within the computer. [In fact, the whole human body needs to be represented because the mind is a product of all sensations of all parts of the body coalescing within the brain. But, for the sake of argument, let’s just consider replicating only the brain.] In order to represent a specific human brain in the computer, each neuron in the brain would need a digital or analog representation, instantiated in hardware, software or a combination of the two. Unless this representation is an exact biological copy (clone), it will have some inherent “error” associated with it. So, let’s do a sort of “error analysis” (admittedly non-rigorous).

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Researchers in Europe and the UK have managed to connect biological and artificial neurons together – and allow them to communicate long distances through the internet. The biological neurons were grown in one country, sent signals through an artificial synapse located in another to electronic neurons in a third country.

As advanced as supercomputers get, the human brain still utterly leaves them in the dust. It’s made up of neurons that communicate with each other through pulses of electrical signals, passed across tiny gaps known as synapses. These neurons can both process and store information, unlike computers that require separate types of memory for each task.

Artificial versions of neurons and synapses have shown to be far more powerful than traditional computer chip designs, but they’re still in the experimental stage. And now, a team of researchers has taken the next step and connected the artificial and biological versions between three different countries.

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What happens to people who suffer severe injuries that make it impossible for them to communicate? They are often left at the mercy of doctors and families who are obligated to make vital decisions for them. According to New Scientist, however, now there are new mind-reading brain scanners that may remedy this situation.

The new scanners use functional near-infrared spectroscopy.

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Researchers report an advance in the development of a blood test that could help detect pathological Alzheimer’s disease in people who are showing signs of dementia. This approach could be less invasive and less costly than current brain imaging and spinal fluid tests. The blood test detects the abnormal accumulation of a form of tau protein known as phosphorylated-tau-181 (ptau181), which is a biomarker that suggests brain changes from Alzheimer’s. The study, funded by the National Institutes of Health, was published on March 2 in Nature Medicine.

Over the past 15 years, research advances in the development of biomarkers like tau protein have enabled investigators to more accurately diagnose Alzheimer’s disease, select research participants, and measure response to investigational therapies. Tau and other biomarkers can be detected with PET scans of the brain and lab tests of spinal fluid. However, PET imaging is expensive and involves radioactive agents, and spinal fluid tests require spinal taps, which are invasive, complex and time-consuming. Simpler biomarker tests are still needed.

“The considerable time and resources required for screening research participants with PET scans and spinal taps slow the pace of enrollment for Alzheimer’s disease treatment studies,” said Richard J. Hodes, M.D., director of NIH’s National Institute on Aging (NIA), which funded much of the study. “The development of a blood test would enable us to rapidly screen a much larger and more diverse group of volunteers who wish to enroll in studies.”

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However, labeling aging itself as a disease is both misleading and detrimental. Pathologizing a universal process makes it seem toxic. In our youth-obsessed society, ageism already runs rampant in Hollywood, the job market, and even presidential races. And calling aging a disease doesn’t address critical questions about why we age in the first place. Instead of calling aging a disease, scientists should aim to identify and treat the underlying processes that cause aging and age-related cellular deterioration.

Aging is associated with heart disease, Alzheimer’s, diabetes, and cancer, but what’s underlying all that?

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When crossing the street, which way do you first turn your head to check for oncoming traffic? This decision depends on the context of where you are. A pedestrian in the United States looks to the left for cars, but one in the United Kingdom looks right. A group of scientists at Columbia’s Zuckerman Institute has been studying how animals use context when making decisions. And now, their latest research findings have tied this ability to an unexpected brain region in mice: an area called the anterior lateral motor cortex, or ALM, previously thought to primarily guide and plan movement.

This discovery, published today in Neuron, lends new insight into the brain’s remarkable ability to make decisions. Flexible decision making is a critical tool for making sense of our surroundings; it allows us to have different reactions to the same information by taking context into account.

“Context-dependent decision-making is a building block of higher cognitive function in humans,” said neuroscientist Michael Shadlen, MD, PhD, the paper’s co-senior author with Richard Axel, MD. “Observing this process in a motor area of the mouse brain, as we did with today’s study, puts us a step closer to understanding cognitive function at the level of brain cells and circuits.”

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