ArticleAdvances in neural information processing systems2020
Can the Brain Do Backpropagation? -Exact Implementation of Backpropagation in Predictive Coding Networks.
Article in Advances in neural information processing systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Hierarchical optimization predicts plasticity in the macaque inferior temporal cortex following object training.Nature communications · 2026Article
- 'Backpropagation and the brain' realized in cortical error neuron microcircuits.PLoS computational biology · 2026Article
- Backpropagation-free spiking neural networks with the forward-forward algorithm.Scientific reports · 2026Article
- Global error signal guides local optimization in mismatch calculation.Nature communications · 2026Article
- Article
- Invariant visual object and face learning in the ventral cortical visual pathway: A biologically plausible model.PLoS computational biology · 2026Article
- EMG Dataset for Gesture Recognition with Arm Translation.Scientific data · 2025Article
- A predictive coding model of the N400.Cognition · 2024Article
- Predictive coding networks for temporal prediction.PLoS computational biology · 2024Article
- An Agent-Based Model to Reproduce the Boolean Logic Behaviour of Neuronal Self-Organised Communities through Pulse Delay Modulation and Generation of Logic Gates.Biomimetics (Basel, Switzerland) · 2024Article
- Inferring neural activity before plasticity as a foundation for learning beyond backpropagation.Nature neuroscience · 2024Article
- Predictive coding with spiking neurons and feedforward gist signaling.Frontiers in computational neuroscience · 2024Article
- A role for cortical interneurons as adversarial discriminators.PLoS computational biology · 2023Article
- Hybrid predictive coding: Inferring, fast and slow.PLoS computational biology · 2023Article
- Recurrent predictive coding models for associative memory employing covariance learning.PLoS computational biology · 2023Article
- SDEGen: learning to evolve molecular conformations from thermodynamic noise for conformation generation.Chemical science · 2023Article
- A rubric for human-like agents and NeuroAI.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Sequential Memory with Temporal Predictive Coding.Advances in neural information processing systems · 2023Article
- Biologically plausible local synaptic learning rules robustly implement deep supervised learning.Frontiers in neuroscience · 2023Article
- Design considerations for a hierarchical semantic compositional framework for medical natural language understanding.PloS one · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Backpropagation (BP) has been the most successful algorithm used to train artificial neural networks. However, there are several gaps between BP and learning in biologically plausible neuronal networks of the brain (learning in the brain, or simply BL, for short), in particular, (1) it has been unclear to date, if BP can be implemented exactly via BL, (2) there is a lack of local plasticity in BP, i.e., weight updates require information that is not locally available, while BL utilizes only locally available information, and (3) there is a lack of autonomy in BP, i.e., some external control over the neural network is required (e.g., switching between prediction and learning stages requires changes to dynamics and synaptic plasticity rules), while BL works fully autonomously. Bridging such gaps, i.e., understanding how BP can be approximated by BL, has been of major interest in both neuroscience and machine learning. Despite tremendous efforts, however, no previous model has bridged the gaps at a degree of demonstrating an equivalence to BP, instead, only approximations to BP have been shown. Here, we present for the first time a framework within BL that bridges the above crucial gaps. We propose a BL model that (1) produces
Identifiers
33840988PMC7610561What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.