A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning. (arXiv:2304.06738v1 [cs.NE])

Humans excel at continually acquiring, consolidating, and retaining
information from an ever-changing environment, whereas artificial neural
networks (ANNs) exhibit catastrophic forgetting. There are considerable
differences in the complexity of synapses, the processing of information, and
the learning mechanisms in biological neural networks and their artificial
counterparts, which may explain the mismatch in performance. We consider a
biologically plausible framework that constitutes separate populations of
exclusively excitatory and inhibitory neurons that adhere to Dale's principle,
and the excitatory pyramidal neurons are …

anns artificial artificial neural networks arxiv brain brain-inspired complexity continual environment excel framework humans information interactions network networks neural network neural networks neurons performance processing role study