In modern deep learning there are multiple approaches that can be argued are close to some of inspirations from neuroscience: Capsule Networks, Helmholtz Machines, Energy Based Models (Score Based Generative Modeling / Diffusion Models), Associative Memory.
Information theory, Bayesian methods, Approximate Computations are more relevant for inspiration. Neuroscience is not the filed which studies intelligent behavior.
Information theory, Bayesian methods, Approximate Computations are more relevant for inspiration. Neuroscience is not the filed which studies intelligent behavior.