{"total":20,"rows":[{"id":"2209.00530","title":"Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations","created":"2022-09-01","cited_by_count":42,"area":null},{"id":"2308.07870","title":"Brain-inspired Computational Intelligence via Predictive Coding","created":"2023-08-15","cited_by_count":30,"area":null},{"id":"2304.02658","title":"Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation","created":"2023-04-05","cited_by_count":8,"area":null},{"id":"2407.04117","title":"Predictive Coding Networks and Inference Learning: Tutorial and Survey","created":"2024-07-04","cited_by_count":7,"area":null},{"id":"2411.02001","title":"Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation","created":"2024-11-04","cited_by_count":4,"area":null},{"id":"2305.06112","title":"The Compositional Structure of Bayesian Inference","created":"2023-05-10","cited_by_count":3,"area":null},{"id":"2410.04708","title":"Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks","created":"2024-10-07","cited_by_count":3,"area":null},{"id":"2309.04106","title":"Meta predictive learning model of languages in neural circuits","created":"2023-09-08","cited_by_count":2,"area":null},{"id":"2602.07697","title":"On the Infinite Width and Depth Limits of Predictive Coding Networks","created":"2026-02-07","cited_by_count":2,"area":null},{"id":"2302.10392","title":"From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces","created":"2023-02-21","cited_by_count":1,"area":null},{"id":"2305.18188","title":"Understanding Predictive Coding as an Adaptive Trust-Region Method","created":"2023-05-29","cited_by_count":1,"area":null},{"id":"2310.08803","title":"Advancing Perception in Artificial Intelligence through Principles of Cognitive Science","created":"2023-10-13","cited_by_count":1,"area":null},{"id":"2603.06142","title":"Predictive Coding Graphs are a Superset of Feedforward Neural Networks","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2605.31022","title":"Augmented Lagrangian Predictive Coding","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2112.03378","title":"Differentiable Generalised Predictive Coding","created":"2021-12-02","cited_by_count":0,"area":null},{"id":"2306.02415","title":"Biologically-Motivated Learning Model for Instructed Visual Processing","created":"2023-06-04","cited_by_count":0,"area":null},{"id":"2508.08762","title":"Bio-Inspired Artificial Neural Networks based on Predictive Coding","created":"2025-08-12","cited_by_count":0,"area":null},{"id":"2510.25993","title":"Efficient Online Learning with Predictive Coding Networks: Exploiting Temporal Correlations","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2606.27802","title":"Accelerating Hierarchical Sparse Predictive Coding with Hybrid Amortized Inference","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2608.06963","title":"Learning in Deep Networks under Dale's Constraint","created":"2026-08-07","cited_by_count":0,"area":null}],"next_cursor":null}