Co-occurring keywords · papers mentioning both
Papers
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
ICML 2025
Efficient Target Propagation by Deriving Analytical Solution
AAAI 2024
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
ICLR 2024
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
NeurIPS 2023
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks
NeurIPS 2023
Formalizing locality for normative synaptic plasticity models
NeurIPS 2023
Sequential Memory with Temporal Predictive Coding
NeurIPS 2023
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies
NeurIPS 2023
A Theoretical Framework for Inference Learning
NeurIPS 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
NeurIPS 2022
Biologically plausible solutions for spiking networks with efficient coding
NeurIPS 2022
Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy
NeurIPS 2022
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
ICML 2022
Minimizing Control for Credit Assignment with Strong Feedback
ICML 2022
A mechanistic multi-area recurrent network model of decision-making
NeurIPS 2021
Attention Approximates Sparse Distributed Memory
NeurIPS 2021
Biological learning in key-value memory networks
NeurIPS 2021
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
NeurIPS 2021
Credit Assignment in Neural Networks through Deep Feedback Control
NeurIPS 2021
Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract)
AAAI 2021
Towards Biologically Plausible Convolutional Networks
NeurIPS 2021
A simple normative network approximates local non-Hebbian learning in the cortex
NeurIPS 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
JMLR 2020
Biological credit assignment through dynamic inversion of feedforward networks
NeurIPS 2020
Biologically Plausible Sequence Learning with Spiking Neural Networks
AAAI 2020