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The hypernetwork architecture is a biologically inspired learning model based on abstract molecules and molecular interactions that exhibits functional and organizational correlation with biological systems.
In this paper we propose a novel genetically inspired learning method for facial expression recognition (FER).
Slow feature discriminant analysis (SFDA) is an attractive biologically inspired learning method to extract discriminant features for classification.
The extreme learning machine (ELM) as an emerging biologically inspired learning technique provides efficient unified solutions to "generalized" single-hidden layer feed forward networks (SLFNs) but the hidden layer (or called feature mapping) in ELM need not be tuned [46].
However, ILGA is more biologically plausible in that it uses neural representations based on neurophysiological data, modules with connectivity constrained by anatomical data, and biologically inspired learning rules.
Zhang constructed a PBL model applicable to basic healthcare education that emphasises the relationship between tutors and students for four modes of learning: guided learning, self-directed learning, inspired learning and motivated learning [ 42].
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