{"total":15,"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":"2302.01647","title":"Blockwise Self-Supervised Learning at Scale","created":"2023-02-03","cited_by_count":22,"area":null},{"id":"2206.11769","title":"Single-phase deep learning in cortico-cortical networks","created":"2022-06-23","cited_by_count":19,"area":null},{"id":"2102.01955","title":"Predictive coding feedback results in perceived illusory contours in a recurrent neural network","created":"2021-02-03","cited_by_count":10,"area":null},{"id":"2104.04657","title":"Meta-Learning Bidirectional Update Rules","created":"2021-04-10","cited_by_count":10,"area":null},{"id":"2203.13203","title":"Constrained Parameter Inference as a Principle for Learning","created":"2022-03-22","cited_by_count":9,"area":null},{"id":"2308.03228","title":"Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)","created":"2023-08-06","cited_by_count":9,"area":null},{"id":"2212.10352","title":"Fixed-Weight Difference Target Propagation","created":"2022-12-19","cited_by_count":6,"area":null},{"id":"2405.08967","title":"Gradient-Free Training of Recurrent Neural Networks using Random Perturbations","created":"2024-05-14","cited_by_count":6,"area":null},{"id":"2110.11501","title":"Cortico-cerebellar networks as decoupling neural interfaces","created":"2021-10-21","cited_by_count":4,"area":null},{"id":"2112.01453","title":"Target Propagation via Regularized Inversion","created":"2021-12-02","cited_by_count":3,"area":null},{"id":"2102.11598","title":"Gradient-adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks","created":"2021-02-23","cited_by_count":1,"area":null},{"id":"2111.13187","title":"Information Bottleneck-Based Hebbian Learning Rule Naturally Ties Working Memory and Synaptic Updates","created":"2021-11-24","cited_by_count":1,"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":"2510.18812","title":"A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation","created":"2025-10-21","cited_by_count":0,"area":null}],"next_cursor":null}