Nate Dolensek
- Postdoctoral fellow, UC Berkeley
- Ph.D. in Systems Neuroscience, Max Planck Institute of Neurobiology (2016-2021)
- B.Sc. in Psychology, University of Groningen & Utrecht University (2012-2015)
I’m a neuroscientist interested in how emotions arise and why they are exhibited. For this purpose,
I record and decode neural activity using modern computational approaches combined with newly developed unsupervised behavior analyses.
Interests. systems neuroscience, emotion, neural computation, unsupervised behavior analysis, functional imaging, data science, machine learning
Interests. systems neuroscience, emotion, neural computation, unsupervised behavior analysis, functional imaging, data science, machine learning
Publications
2021
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Fear balance is maintained by bodily feedback to the insular cortex in mice
Science
Alexandra S. Klein, Nate Dolensek, Caroline Weiand, Nadine Gogolla
2020
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Machine-learning approaches to classify and understand emotion states in mice
Neuropsychopharmacology
Nate Dolensek, Nadine Gogolla -
Facial expressions of emotion states and their neuronal correlates in mice
Science [code]
Nate Dolensek, Daniel A. Gehrlach, Alexandra S. Klein, Nadine Gogolla
2019
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Aversive state processing in the posterior insular cortex
Nature Neuroscience
Daniel A. Gehrlach, Nate Dolensek, Alexandra S. Klein, Ritu Roy Chowdhury, Arthur Matthys, Michaela Junghänel, Thomas N. Gaitanos, Alja Podgornik, Thomas D. Black, Narasimha Reddy Vaka, Karl-Klaus Conzelmann & Nadine Gogolla