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biological plausibility

31 papers

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Co-occurring keywords

neural network (6616) recurrent neural network (1790) credit assignment (112) spiking neural network (331) predictive coding (49) hebbian learning (30) biologically plausible (10) hebbian plasticity (10) biologically plausible learning (15) hopfield network (31)

Papers

Efficient Target Propagation by Deriving Analytical Solution AAAI 2024
Formalizing locality for normative synaptic plasticity models NIPS 2023
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies NIPS 2023
Sequential Memory with Temporal Predictive Coding NIPS 2023
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks NIPS 2023
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry NIPS 2023
Minimizing Control for Credit Assignment with Strong Feedback ICML 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules NIPS 2022
A Theoretical Framework for Inference Learning NIPS 2022
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass ICML 2022
Biologically plausible solutions for spiking networks with efficient coding NIPS 2022
Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy NIPS 2022
Towards Biologically Plausible Convolutional Networks NIPS 2021
Biological learning in key-value memory networks NIPS 2021
Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract) AAAI 2021
Attention Approximates Sparse Distributed Memory NIPS 2021
A mechanistic multi-area recurrent network model of decision-making NIPS 2021
Credit Assignment in Neural Networks through Deep Feedback Control NIPS 2021
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NIPS 2021
Biological credit assignment through dynamic inversion of feedforward networks NIPS 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks JMLR 2020
Biologically Plausible Sequence Learning with Spiking Neural Networks AAAI 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks NIPS 2020
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? ACL 2020
A simple normative network approximates local non-Hebbian learning in the cortex NIPS 2020