- Christopher M. Kim, Carson C. Chow. Training Spiking Neural Networks in the Strong Coupling Regime. Neural Computation, 33(5):1199-1233, 2021.
- Lawrence K. Saul. An EM Algorithm for Capsule Regression. Neural Computation, 33(1):194-226, 2021.
- Brett D. Roads, Michael C. Mozer. Predicting the Ease of Human Category Learning Using Radial Basis Function Networks. Neural Computation, 33(2):376-397, 2021.
- Manuel Beiran, Alexis M. Dubreuil, Adrian Valente, Francesca Mastrogiuseppe, Srdjan Ostojic. Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks. Neural Computation, 33(6):1572-1615, 2021.
- Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston. Active Inference: Demystified and Compared. Neural Computation, 33(3):674-712, 2021.
- Muneki Yasuda, Kei Uchizawa. A Generalization of Spatial Monte Carlo Integration. Neural Computation, 33(4):1037-1062, 2021.
- Corey Weistuch, Lilianne R. Mujica-Parodi, Ken Dill. The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves. Neural Computation, 33(5):1145-1163, 2021.
- Omri Barak, Sandro Romani. Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework. Neural Computation, 33(3):827-852, 2021.
- Yu-Wei Kao, Hung-Hsuan Chen. Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation. Neural Computation, 33(1):174-193, 2021.
- Tomas Van Pottelbergh, Guillaume Drion, Rodolphe Sepulchre. From Biophysical to Integrate-and-Fire Modeling. Neural Computation, 33(3):563-589, 2021.