Artificial Neural Microcircuits as Building Blocks: Concept and Challenges

arXiv:2403.16327v1 Announce Type: cross
Abstract: Artificial Neural Networks (ANNs) are one of the most widely employed forms of bio-inspired computation. However the current trend is for ANNs to be structurally homogeneous. Furthermore, this structural homogeneity requires the application of complex training and learning tools that produce application specific ANNs, susceptible to pitfalls such as overfitting. In this paper, an new approach is explored, inspired by the role played in biology by Neural Microcircuits, the so called ``fundamental processing elements'' of …

abstract anns application artificial artificial neural networks arxiv bio bio-inspired building challenges computation concept cs.ai cs.lg cs.ne current forms however learning tools networks neural networks tools training trend type