Author

Ralf D. Wimmer

Massachusetts Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:mouse· 3 Research Focus:cell type annotation· 2 Assay:electronic health records· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Organism:non-human primate· 1

Frequent Co-Authors

Michael M. HalassaiD· 3 shared Amanda B FathiD· 1 shared Evan Hong· 1 shared Guoping FengiD· 1 shared John D. MurrayiD· 1 shared Jonathan J. WildeiD· 1 shared Jonathan Scott· 1 shared Kathleen HeiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersNeuroscience

Michael M. HalassaORCID

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Author profile →

3 papers

Recent·Most cited

Enhancement of mediodorsal thalamus rescues aberrant belief dynamics in a mouse model with schizophrenia-associated mutation.

Tingting Zhou, Yi-Yun Ho, Ray X. Lee, Amanda B Fath, Kathleen He, Jonathan Scott, Navdeep Bajwa, Nolan D. Hartley, Jonathan J. Wilde, Xian Gao, Li Cui, Evan Hong, Matthew R. Nassar, Ralf D. Wimmer, Tarjinder Singh, , Guoping Feng

This study identifies the mediodorsal thalamus as critical for belief dynamics in a schizophrenia mouse model and shows that enhancing its activity rescues cognitive deficits.

bioRxiv · Jan 8, 2024 · PreprintNeuroscience

Spiking recurrent neural networks represent task-relevant neural sequences in rule-dependent computation

Xiaohe Xue, Ralf D. Wimmer, Michael M. Halassa, Zhe Sage Chen

This paper trains a spiking recurrent neural network to perform a rule-dependent cognitive task, showing neural dynamics similar to experimental data in rodents and monkeys.

Cognitive Computation · Feb 5, 2022Peer-reviewedNeuroscience

Computational circuit mechanisms underlying thalamic control of attention

Qinglong L. Gu, Norman H. Lam, Ralf D. Wimmer, Michael M. Halassa, John D. Murray

The paper develops a circuit model of thalamic neurons to show how top-down inputs to reticular neurons enhance attentional control by improving signal detection and discrimination.

bioRxiv · Sep 16, 2020 · PreprintNeuroscience