Interesting Science News (January 2023)

This month’s pick of developments worth paying attention is more substantial than usual and I think at least a couple of them will have serious long-term implications.

  • Starting with lighter news first, the announcement that lab-grown retinal cells are capable of reaching out and connecting to other cells is exciting. Lately many researchers have been experimenting with all kinds of organoids, organized clusters of cells that can be regarded as very primitive versions of organs. This is a similar example that involves coaxing stem cells to develop into light-sensitive retinal cells. The latest development is to show that these cells are capable of forming synaptic connections to other cells. We’re still a long way from growing artificial eyes in this way but it may be possible to use this technique to treat certain eye disorders and injuries.
  • Next is a paper that claims that chimpanzees possess risk-taking behaviors that are similar to humans. This means their risk assements are broadly correlated across domains, they shy away from ambiguous situations, males are more willing to take risks than females and that appetite for risk peaks in young adults, patterns that are broadly similar to humans. From a philosophical perspective, these results are interesting as chimpanzees are of course not influenced by human culture, suggesting that there may be an evolutionary basis to risk-taking preferences.
  • Then we have this longer article about how the old model of animal learning, famously known from Pavlov’s experiments with dogs, is slowly being debunked. The old model looked forward and stipulated that learning works by trial and error. A prediction is made in response to cues and adjustments are made to future predictions as a result of how correct it was. The new model looks backwards, such that when a reward or punishment is received by the animal, it looks back in its memory tp search for what might have caused the event and learns accordingly. New experiments suggest that the new model seems closer to the truth. Though the difference between the two models may be subtle to most of us, this amounts to a revolution in neuroscience with major implications.
  • Finally some of the early results from the James Webb Space Telescope are in and they are suggesting that cosmologists’ ideas of how the universe formed may be all wrong. The new telescope effectively lets astronomers see further back in time than previously possible and the surprising finding is that there are too many mature galaxies out there and that they are too bright. The researchers expected to see more chaotic and primitive structures from the distant past, yet it seems that the past looks too similar to the present than what is predicted by current models. No prominent astronomer has quite come out to explicitly say it yet and they’re all still reviewing the results but I believe this shows how little we really know about the formation of the universe and the models we have are really just educated guesses.

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