HIGHLIGHTS
- who: Sungroh Yoon from the Tsinghua University, China have published the paper: Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks, in the Journal: (JOURNAL)
- what: This study explored the predictive coding network (Whittington and Bogacz, 2017) among the various biologically plausible learning and its characteristics. Contrary to the conventional solutions for the MCTs, the study focused on the predictive coding algorithm itself employed for the optimization of the network parameters. The main reason is that backpropagation does not operate following the local synaptic plasticity (Takesian and Hensch, 2013; Mateos-Aparicio and Rodru00edguez . . .
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