Borrowing external information to improve Bayesian confidence propagation neural network
Sign Up to like & getrecommendations! Published in 2020 at "European Journal of Clinical Pharmacology"
DOI: 10.1007/s00228-020-02909-w
Abstract: Purpose A Bayesian confidence propagation neural network (BCPNN) is a signal detection method used by the World Health Organization Uppsala Monitoring Centre to analyze spontaneous reporting system databases. We modify the BCPNN to increase its… read more here.
Keywords: information; method; proposed method; confidence propagation ... See more keywords
Optimizing BCPNN Learning Rule for Memory Access
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00878
Abstract: Simulation of large scale biologically plausible spiking neural networks, e.g., Bayesian Confidence Propagation Neural Network (BCPNN), usually requires high-performance supercomputers with dedicated accelerators, such as GPUs, FPGAs, or even Application-Specific Integrated Circuits (ASICs). Almost all… read more here.
Keywords: memory access; learning rule; optimization; access ... See more keywords