| MadSci Network: Computer Science |
Backpropagation is not generally considered neurally plausible for two reasons: 1) As you mention, it would require that the "correct answer" be provided. Thus, when learning to crawl, there would have to be some teacher telling the brain, "When you see and feel this, you should send these signals to your limbs." Clearly, there is no such teacher for pre-linguistic processes. In higher-level processes, such as language learning, there may literally be a teacher: another person who tells you what the right answer is. 2) Backpropagation requires information to travel "upstream", backward along axons. While this can be done in a petri dish, it does not happen in the brain -- there is no mechanism to generate an action potential at the synapse end of the axon. There are less powerful, more realistic machine learning methods. One category of methods, reinforcement learning, does not give the learner the correct answer, but does provide feedback on how good the learner's answer was. This is plausible as pleasure and pain reinforcement. If an infant felt more pleasure when she moved faster, her brain might adjust weights (synapse strengths) to strengthen behavior patterns that cause such movement, e.g., crawling.
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