Peng LiuAUTHORS
Rafael Yuste is a professor of biological sciences at Columbia University and director of its Neurotechnology Center.
Michael Levin is a biology professor and director of the Allen Discovery Center at Tufts University.
A common solution is emerging in two different fields: developmental biology and neuroscience
The original article can be found https://www.scientificamerican.com/article/new-clues-about-the-origins-of-biological-intelligence/?amp;text=New
The keywords I want to put into my notes:
modularity; hierarchy; pattern completion
The interesting fact I want to remember:
“when Luis Carrillo-Reid and his colleagues at Columbia University studied how mice respond to visual stimuli, they found that activating as few as two neurons in the middle of a mouse brain—which contains more than 100 million neurons—could artificially trigger visual perceptions that led to particular behaviors”
The conclusion I like to think more:
“Like a ratchet, evolution can thus effectively climb the intelligence ladder, stretching all the way from simple molecules to cognition. Hierarchical modularity and pattern completion can help understand the decision-making of cells and neurons during morphogenesis and brain processes, generating well adaptive animals and behavior. Studying how collective intelligence emerges in biology not only can help us better understand the process and products of evolution and design but could also be pertinent for the design of artificial intelligence systems and, more generally for engineering and even the social sciences.”