System Identification of Neural Systems: Going Beyond Images to Modelling Dynamics

arXiv:2402.12519v1 Announce Type: new
Abstract: Vast literature has compared the recordings of biological neurons in the brain to deep neural networks. The ultimate goal is to interpret deep networks or to better understand and encode biological neural systems. Recently, there has been a debate on whether system identification is possible and how much it can tell us about the brain computation. System identification recognizes whether one model is more valid to represent the brain computation over another. Nonetheless, previous work …

abstract arxiv beyond brain cs.cv dynamics encode identification images literature modelling networks neural networks neurons systems type vast