Artificial neural networks face challenges of robustness and efficiency as they scale. Here, the authors show that incoherent network motifs provide greater stability and resilience to noise than coherent network motifs, offering new structural insights for designing stronger neural networks.
- Haoling Zhang
- Chao-Han Huck Yang
- Jesper N. Tegnér