Wybo, Willem A M; Tsai, Matthias C; Tran, Viet Anh Khoa; Illing, Bernd; Jordan, Jakob; Morrison, Abigail; Senn, Walter (2023). NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways. Proceedings of the National Academy of Sciences of the United States of America - PNAS, 120(32), e2300558120. National Academy of Sciences 10.1073/pnas.2300558120
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While sensory representations in the brain depend on context, it remains unclear how such modulations are implemented at the biophysical level, and how processing layers further in the hierarchy can extract useful features for each possible contextual state. Here, we demonstrate that dendritic N-Methyl-D-Aspartate spikes can, within physiological constraints, implement contextual modulation of feedforward processing. Such neuron-specific modulations exploit prior knowledge, encoded in stable feedforward weights, to achieve transfer learning across contexts. In a network of biophysically realistic neuron models with context-independent feedforward weights, we show that modulatory inputs to dendritic branches can solve linearly nonseparable learning problems with a Hebbian, error-modulated learning rule. We also demonstrate that local prediction of whether representations originate either from different inputs, or from different contextual modulations of the same input, results in representation learning of hierarchical feedforward weights across processing layers that accommodate a multitude of contexts.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
07 Faculty of Human Sciences > Institute of Psychology > Weitere Forschungsgruppen |
UniBE Contributor: |
Tsai, Matthias Chinyen, Jordan, Jakob Jürgen, Senn, Walter |
Subjects: |
600 Technology > 610 Medicine & health 100 Philosophy > 150 Psychology |
ISSN: |
1091-6490 |
Publisher: |
National Academy of Sciences |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
02 Aug 2023 09:40 |
Last Modified: |
20 Aug 2023 02:37 |
Publisher DOI: |
10.1073/pnas.2300558120 |
PubMed ID: |
37523562 |
Uncontrolled Keywords: |
contextual adaptation contrastive learning dendritic computation multitask learning self-supervised learning |
BORIS DOI: |
10.48350/185162 |
URI: |
https://boris.unibe.ch/id/eprint/185162 |
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