Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however
The applications and benchmarks presented in this paper to demonstrate various machine learning tasks using AHaH plasticity require different AHaH node configurations depending on the type of data bei
Results from 200 runs (plus 7 control runs) of Experiment 2 from "Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks". These run
