This is a preprint of our submitted work on logic and learning in network cascades. It discusses basic biologically-motivated modifications, and implications regarding logic, criticality, spatial constraints, types of error, and information encoding.
machine-learning
deep-learning
artificial-intelligence
neural-networks
complex-networks
cascades
criticality
boolean-logic
neuronal-avalanches
critical-cascades
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Updated
Jan 14, 2021