Author

Emil Wärnberg

Karolinska InstitutetORCID 0000-0002-4754-4561Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Organism:mouse· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:non-human primate· 1 Assay:snRNA-seq· 1

Frequent Co-Authors

Arvind KumariD· 2 shared Daniela CalvigioniiD· 2 shared Konstantinos MeletisiD· 2 shared Ourania Tzortzi· 2 shared Antje MärtiniD· 1 shared Iakovos LazaridisiD· 1 shared János FuzikiD· 1 shared Moritz WeglageiD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 17 mutual co-author links

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2 shared papersNeuroscience

Arvind KumarORCID

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4 papers

Recent·Most cited

Vector-valued dopamine improves learning of continuous outputs in the striatum

Emil Wärnberg, Arvind Kumar

This paper proposes a model where vector-valued dopamine signals enhance learning of continuous outputs in the striatum using a recurrent network and a local plasticity rule.

bioRxiv · Nov 30, 2022 · PreprintNeuroscience

Complete representation of action space and value in all striatal pathways.

Moritz Weglage, Emil Wärnberg, Iakovos Lazaridis, Daniela Calvigioni, Ourania Tzortzi, Konstantinos Meletis

The paper shows that all three major striatal output pathways represent action space and value similarly during motor and decision tasks.

Cell Reports · Jul 1, 2021Peer-reviewedNeuroscience

A Spatiomolecular Map of the Striatum.

Antje Märtin, Daniela Calvigioni, Ourania Tzortzi, János Fuzik, Emil Wärnberg, Konstantinos Meletis

The paper maps the molecular and spatial organization of striatal projection neurons, identifying new subtypes and spatial domains in both mice and non-human primates.

Cell Reports · Dec 1, 2019Peer-reviewedNeuroscience

Low Dimensional Activity in Spiking Neuronal Networks

Emil Wärnberg, Arvind Kumar

This paper demonstrates that a biologically plausible spiking neuronal network can exhibit low-dimensional activity, showing that learning is constrained by the intrinsic manifold of network activity.

bioRxiv · Feb 22, 2017 · PreprintNeuroscience