biologically plausible learning

Biologically Inspired Learning Model for Instructed Vision NeurIPS 2024 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NeurIPS 2024 Fixed-Weight Difference Target Propagation AAAI 2023 Scaling Forward Gradient With Local Losses ICLR 2023 A contrastive rule for meta-learning NeurIPS 2022 Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules NeurIPS 2022 Learning on Arbitrary Graph Topologies via Predictive Coding NeurIPS 2022 Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting NeurIPS 2022 On the Stability and Scalability of Node Perturbation Learning NeurIPS 2022 Reverse Differentiation via Predictive Coding AAAI 2022 Towards Scaling Difference Target Propagation by Learning Backprop Targets ICML 2022 MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents NeurIPS 2021 GAIT-prop: A biologically plausible learning rule derived from backpropagation of error NeurIPS 2020 Learning to Learn with Feedback and Local Plasticity NeurIPS 2020 Biologically Motivated Algorithms for Propagating Local Target Representations AAAI 2019 Deep Learning without Weight Transport NeurIPS 2019 Direct Feedback Alignment Provides Learning in Deep Neural Networks NeurIPS 2016 Neurally Plausible Reinforcement Learning of Working Memory Tasks NeurIPS 2012