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Meta-Representational Predictive Coding: Neuroscience-Informed Self-Supervised Learning
Self-supervised learning has become an important paradigm in the domains of machine intelligence and computational neuroscience. Nevertheless, current work on self-supervised learning (SSL) relies on biologically implausible credit assignment, i.e., backpropagation of errors, and feedforward inferen
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