{"total":18,"rows":[{"id":"2106.07887","title":"Credit Assignment in Neural Networks through Deep Feedback Control","created":"2021-06-15","cited_by_count":29,"area":null},{"id":"2306.10168","title":"Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis","created":"2023-06-16","cited_by_count":23,"area":null},{"id":"2106.13082","title":"On the relationship between predictive coding and backpropagation","created":"2021-06-20","cited_by_count":20,"area":null},{"id":"2110.14549","title":"Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons","created":"2021-10-27","cited_by_count":15,"area":null},{"id":"2210.16414","title":"Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways","created":"2022-10-28","cited_by_count":14,"area":null},{"id":"2108.13446","title":"Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms","created":"2021-08-30","cited_by_count":9,"area":null},{"id":"2101.03419","title":"Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods","created":"2021-01-09","cited_by_count":5,"area":null},{"id":"2111.08706","title":"How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization","created":"2021-11-17","cited_by_count":5,"area":null},{"id":"2112.01453","title":"Target Propagation via Regularized Inversion","created":"2021-12-02","cited_by_count":3,"area":null},{"id":"2310.20599","title":"Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment","created":"2023-10-31","cited_by_count":2,"area":null},{"id":"2606.11123","title":"Overcoming Rank Collapse in Feedback Alignment","created":"2026-06-09","cited_by_count":2,"area":null},{"id":"2306.01870","title":"Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks","created":"2023-06-02","cited_by_count":1,"area":null},{"id":"2408.08408","title":"Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints","created":"2024-08-15","cited_by_count":1,"area":null},{"id":"2601.02636","title":"Credit Assignment via Neural Manifold Noise Correlation","created":"2026-01-06","cited_by_count":1,"area":null},{"id":"2505.13741","title":"Frozen Backpropagation: Relaxing Weight Symmetry in Deep Spiking Neural Networks","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2512.20668","title":"Forward Only Learning for Orthogonal Neural Networks of any Depth","created":"2025-12-19","cited_by_count":0,"area":null},{"id":"2601.21683","title":"Can Local Learning Match Self-Supervised Backpropagation?","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2607.13380","title":"Weight Feedback Computes the Jacobian Transpose Locally in Modern Deep Networks","created":"2026-07-15","cited_by_count":0,"area":null}],"next_cursor":null}