Imperial College London
Alternate

Professor Claudia Clopath

Faculty of Engineering, Department of Bioengineering

Professor of Computational Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 1435c.clopath Website

 
 
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Location

 

Royal School of Mines 4.09Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hertäg:2022:10.1073/pnas.2115699119,
author = {Hertäg, L and Clopath, C},
doi = {10.1073/pnas.2115699119},
journal = {Proceedings of the National Academy of Sciences of USA},
pages = {e2115699119--e2115699119},
title = {Prediction-error neurons in circuits with multiple neuron types: formation, refinement, and functional implications.},
url = {http://dx.doi.org/10.1073/pnas.2115699119},
volume = {119},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - SignificanceAn influential idea in neuroscience is that neural circuits do not only passively process sensory information but rather actively compare them with predictions thereof. A core element of this comparison is prediction-error neurons, the activity of which only changes upon mismatches between actual and predicted sensory stimuli. While it has been shown that these prediction-error neurons come in different variants, it is largely unresolved how they are simultaneously formed and shaped by highly interconnected neural networks. By using a computational model, we study the circuit-level mechanisms that give rise to different variants of prediction-error neurons. Our results shed light on the formation, refinement, and robustness of prediction-error circuits, an important step toward a better understanding of predictive processing.
AU  - Hertäg,L
AU  - Clopath,C
DO  - 10.1073/pnas.2115699119
EP  - 2115699119
PY  - 2022///
SN  - 0027-8424
SP  - 2115699119
TI  - Prediction-error neurons in circuits with multiple neuron types: formation, refinement, and functional implications.
T2  - Proceedings of the National Academy of Sciences of USA
UR  - http://dx.doi.org/10.1073/pnas.2115699119
UR  - https://www.ncbi.nlm.nih.gov/pubmed/35320037
UR  - https://www.pnas.org/doi/full/10.1073/pnas.2115699119
UR  - http://hdl.handle.net/10044/1/98888
VL  - 119
ER  -
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