HMS Beagle

@edierox

Graduate student studying evolutionary neurobiology.
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Dear heterosexual white cis male showrunners,

Claiming that after killing off a major queer female character you “understand the outrage and can relate to the pain,”  is at best entitled, and at worst offensive. 

Our pain isn’t yours. You can’t relate to shit when literally 94% of your Netflix, Hulu and HBO accounts reflect and cater to you… Try again. 

anyways i thought of the best continuation fic where everything that happened in 3x07 is canon but after titus takes lexa’s body out of the room, clarke shoots him and takes lexa to a healer and saves her (bc lets be real… nobody dies from a bullet wound to the gut that quickly), patches up her tummy, patches up her neck, and then kidnaps her and takes her to the bunker she was hiding out in for 3 months to care for her. niylah helps them. everyone in polis thinks lexa is dead, and clarke wants to keep it that way so she won’t be called upon to be commander again. she wants lexa to just be hers, she doesn’t want her to owe anything to her people anymore. however, this is less than ideal because the new commander wants to wipe out arkadia. angst ensues, but also fluffy moments, ultimate happy ending.

AKA what the show should have fucking done in the first place

By analyzing the signals of individual neurons in animals undergoing behavioral tests, neuroscientists at Rice University, Baylor College of Medicine, the University of Geneva and the University of Rochester have deciphered the code the brain uses to make the most of its inherently “noisy” neuronal circuits.

The human brain contains about 100 billion neurons, and each of these sends signals to thousands of other neurons each second. Understanding how neurons work, both individually and collectively, is important to better understand how humans think, as well as to treat neurological and psychiatric disorders like Alzheimer’s disease, Parkinson’s disease, autism, epilepsy, schizophrenia, depression, traumatic brain injury and paralysis.

“If the brain could always count on receiving the same sensory response to the same stimulus, it would have an easier time,” said neuroscientist Xaq Pitkow, lead author of a new study in Neuron. “But noise is always there in the brain: studies have repeatedly shown that neurons give a variety of responses to the same stimulus.”

Pitkow, assistant professor of neuroscience at Baylor and assistant professor of electrical and computer engineering at Rice, said “noise” can be described as anything that changes neural activity in a way that doesn’t depend on the task the brain wants to accomplish.

Not only are neural responses noisy, but each neuron’s noise is correlated with the noise in thousands of other neurons. That means that something that affects the output of one neuron may be amplified to affect many more. Because of these correlations, it is extraordinarily difficult for scientists to accurately model how small groups of neurons will affect the way a person or animal reacts to a given stimulus.

Given both these correlated responses and the inherently noisy nature of neuronal signals, scientists have struggled to explain a seeming paradox that was first observed in experiments more than 25 years ago.

“When neuroscientists first analyzed the output of individual neurons, they were surprised to find that the activity of just a single neuron sometimes predicted behavior in certain tasks,” Pitkow said.

This perplexing find has turned up in numerous experiments, but neuroscientists have yet to explain it.

“A lot of people have studied this and offered up different kinds of models that make all sorts of assumptions,” Pitkow said. “By integrating all of those ideas and applying some analytical techniques, we found there were two different ways this could happen.”

He said one possibility is that many neurons are sharing the same information, processing it independently and arriving at the same answer. The other possibility is that each neuron is using different information and casting its vote for a slightly different answer but the brain is doing a poor job of coming to a consensus with the different votes.

“The first model is a bit like trying to find a needle in haystack, and the second is like trying to find a needle on a clean floor while looking backward through a pair of binoculars,” Pitkow said. “Each piece of straw looks like a needle, which makes the haystack test very difficult. On the other hand, a needle should really stand out on a clean floor, but it will be hard to find with a bad searching method.”

In each case, the neurons are correlated with one other, “but in the first instance the noise correlations can never be removed, and in the second they could and should be removed but they’re not,” Pitkow said. “And each of these scenarios has very different consequences for the brain’s code, how it represents information. In terms of information theory, if the brain has a lot of information and it is not doing a good job of using it, there are very different implications than if all the neurons are correlated and they’re all informative in the same way.”

To determine which of these scenarios is at play in the brain, Pitkow and colleagues developed two mathematical models, one for each scenario. The models described how information and noise would flow through the network in the two opposing cases.

The team tested each model against the activity of single neurons in monkeys that were undergoing perceptual tests to measure how accurately they could perceive slight movements to the left or right. The experimenters found that some neurons predicted the animals’ guesses about whether they were moving left or right.

“When we examined the output, we found that the monkeys’ brains were not throwing away information,” Pitkow said. “They were using each neuron’s information very effectively. And we also saw that even though there were many neurons involved, the guess of any individual neuron was only slightly worse than the animal’s actual guess during the test. These two pieces of evidence together indicate the neurons mostly share the same information.”

But if every neuron is doing the same processing, why have so many? It’s an obvious question, Pitkow said, but it’s beyond the scope of what he and his colleagues could address in the current study.

“We didn’t explore the value of redundancy in this study, but we are very interested in that question,” Pitkow said. He pointed out that the vestibular sensors, the part of the inner ear dedicated to the sense of balance, contain only about 6,000 of the brain’s 100 billion neurons. Even those few thousand might be redundant, which would mean that the rest of the neurons they contact also are redundant.

“One intriguing possibility that we are looking into is that redundancy allows the brain to reformat information and approach complex problems from many different angles,” he said.

Alzheimer’s disease may cause different changes in the brain, or pathologies, in African-Americans than in white Americans of European descent, according to a study published in the July 15, 2015, online issue of Neurology®, the medical journal of the American Academy of Neurology.

“Because some studies suggest that Alzheimer’s disease is more common among older African-Americans than European-Americans, we wanted to see whether the brain changes caused by Alzheimer’s are different in these two racial groups,” said study author Lisa L. Barnes, PhD, with Rush University Medical Center in Chicago. “Studying how Alzheimer’s disease looks in the brain in individuals of different races may help us to further understand the disease and pinpoint strategies for prevention and treatment.”

The study included 41 African-Americans with a clinical diagnosis of Alzheimer’s dementia from the memory clinic, who had an autopsy of their brain performed after death. They were then compared to 81 deceased European-Americans who had Alzheimer’s dementia with the same level of disease severity and were of the same age, sex and education level. Researchers looked for typical signs of Alzheimer’s disease (plaques and tangles) as well as other brain changes that can cause dementia, such as infarcts (the brain changes associated with stroke) and Lewy bodies (associated with Lewy body or Parkinson’s disease). They noted whether people had just one pathology or more than one. They also looked at small and large blood vessel disease.

Almost all participants in the study had Alzheimer’s disease in their brain. Only about half of the European-Americans had pure Alzheimer’s disease pathology (no additional pathologies contributing to dementia) whereas the rest had Alzheimer’s disease pathology with either infarcts or Lewy bodies. In contrast, less than 25 percent of the African Americans had pure Alzheimer’s disease pathology. On the other hand, almost three-quarters (71 percent) of African-Americans had Alzheimer’s disease pathology mixed with another type of pathology, compared to 51 percent of European-Americans. Clinical Alzheimer’s disease in African-Americans was much more likely to involve pathologies other than Alzheimer’s disease pathology. African-Americans also had more frequent and severe blood vessel disease.

“Our study has important clinical implications because it may suggest a need for different types of Alzheimer’s prevention and treatments in African-Americans. Indeed, current Alzheimer’s drugs primarily target specific Alzheimer pathologies in the brain. Given the mixed pattern of disease that we see in African American brains, it will be important to develop new treatments that target these other common pathologies, particularly for African-Americans,” said Barnes.