UPDATE

Author: moneuron

_config.yml

@@ -13,7 +13,8 @@ papers: |
   <span class="paper-item">
   • **Shakiba M**, Rokni R, Mohammadi M, Dehghani N. Anatomically and Functionally Constrained Bio-Inspired Recurrent Neural Networks Outperform Traditional RNN Models. *34th Annual Computational Neuroscience Meeting: CNS\*2025*, 2025.
   <sub>**[HTML](https://doi.org/10.13140/RG.2.2.17937.95843) / 
-  [PDF](https://moneuron.github.io/drive/poster/cns-rnn.pdf)**</sub>
+  [PDF](https://moneuron.github.io/drive/poster/cns-rnn.pdf) /
+  [PDF<sup>2</sup>](https://moneuron.github.io/drive/poster/cns-rnn-2.pdf)**</sub>
   <sub class="citation" id="cns-rnn" data-doi="10.1007/s10827-025-00915-4"></sub>
   <sub>**`Poster`**</sub>
   </span>