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
In the heterogeneous condition, three neuronal types have the values of the described parameters randomly drawn from a normal () or lognormal () distribution. The parameter values for these distributi
