{"total":19,"rows":[{"id":"2210.08340","title":"Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution","created":"2022-10-15","cited_by_count":78,"area":null},{"id":"2305.11982","title":"Sequential Memory with Temporal Predictive Coding","created":"2023-05-19","cited_by_count":16,"area":null},{"id":"2111.08858","title":"A Normative and Biologically Plausible Algorithm for Independent Component Analysis","created":"2021-11-17","cited_by_count":8,"area":null},{"id":"2209.12894","title":"Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources","created":"2022-09-27","cited_by_count":6,"area":null},{"id":"2302.10051","title":"Normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity","created":"2023-02-20","cited_by_count":4,"area":null},{"id":"2301.11955","title":"Adaptive whitening in neural populations with gain-modulating interneurons","created":"2023-01-27","cited_by_count":3,"area":null},{"id":"2308.13633","title":"Adaptive whitening with fast gain modulation and slow synaptic plasticity","created":"2023-08-25","cited_by_count":3,"area":null},{"id":"2111.12963","title":"Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks","created":"2021-11-25","cited_by_count":2,"area":null},{"id":"2309.16687","title":"Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning","created":"2023-08-02","cited_by_count":2,"area":null},{"id":"2401.01489","title":"The Neuron as a Direct Data-Driven Controller","created":"2024-01-03","cited_by_count":2,"area":null},{"id":"2510.02765","title":"Curl Descent: Non-Gradient Learning Dynamics with Sign-Diverse Plasticity","created":"2025-10-03","cited_by_count":2,"area":null},{"id":"2601.00245","title":"Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing","created":"2026-01-01","cited_by_count":2,"area":null},{"id":"2102.05501","title":"A Neural Network with Local Learning Rules for Minor Subspace Analysis","created":"2021-02-10","cited_by_count":1,"area":null},{"id":"2104.11604","title":"Learning in Deep Neural Networks Using a Biologically Inspired Optimizer","created":"2021-04-23","cited_by_count":1,"area":null},{"id":"2308.02427","title":"Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training","created":"2023-08-02","cited_by_count":0,"area":null},{"id":"2311.16111","title":"Neural Crystals","created":"2023-09-05","cited_by_count":0,"area":null},{"id":"2401.03248","title":"Neuronal Temporal Filters as Normal Mode Extractors","created":"2024-01-06","cited_by_count":0,"area":null},{"id":"2506.06134","title":"Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales","created":"2025-06-06","cited_by_count":0,"area":null},{"id":"2606.01546","title":"Flexible Online Representation Learning Based on Similarity Matching","created":"2026-06-01","cited_by_count":0,"area":null}],"next_cursor":null}