| 259 | -- | 274 | Carlo R. Laing, Oleh E. Omel'chenko. Periodic solutions in next generation neural field models |
| 275 | -- | 284 | Matthias Kohler, Florian Röhrbein, Alois Knoll, Alin Albu-Schäffer, Henrik Jörntell. The Bcm rule allows a spinal cord model to learn rhythmic movements |
| 285 | -- | 295 | Willy Wong. A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons |
| 297 | -- | 298 | Kexin Chen, Hirak J. Kashyap, Jeffrey L. Krichmar, Xiumin Li. What can computer vision learn from visual neuroscience? Introduction to the special issue |
| 299 | -- | 329 | Daniel Schmid, Christian Jarvers, Heiko Neumann. Canonical circuit computations for computer vision |
| 331 | -- | 343 | Girik Malik, Dakarai Crowder, Ennio Mingolla. Extreme image transformations affect humans and machines differently |
| 345 | -- | 361 | Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro 0001, Benjamin F. Grewe. Bio-inspired, task-free continual learning through activity regularization |
| 363 | -- | 372 | Michael Briden, Narges Norouzi. Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis |
| 373 | -- | 387 | Antoine Grimaldi, Laurent U. Perrinet. Learning heterogeneous delays in a layer of spiking neurons for fast motion detection |
| 389 | -- | 406 | Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent Perrinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona. Stakes of neuromorphic foveation: a promising future for embedded event cameras |