Researchers use machine learning to understand synapses

Carnegie Mellon researchers, alongside others, are focusing on neurological research with the goal of gaining a deeper understanding of how specific parts of the brain relate to the organ’s overall function. Currently, many specific functions are thought to be localized in certain parts of the brain. The neocortex, for example, which is comprised of six layers, is the part of the brain that is associated with higher cognitive processes such as spatial reasoning, generation of motor commands, sensory perception, and conscious thought. Each layer of the neocortex is made up of different cell types, which are organized in a very specific way. Based on a particular person’s experiences, or the “load” experienced by their nervous system, neurons in the brain form or retract, and can even grow new connections. These…

Link to Full Article: Researchers use machine learning to understand synapses

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