Nate Dolensek

Postdoctoral scholar · UC Berkeley

Ph.D., Systems Neuroscience Max Planck Institute of Neurobiology 2016–2021
B.Sc., Psychology University of Groningen & Utrecht University 2012–2015

Brains and deep networks converge on surprisingly similar representations of the world. I use large-scale neural recordings in primates and mechanistic interpretability approaches to understand the computational principles underlying visual perception, emotion, and social cognition, wherever those computations happen to run.

Interests NeuroAI · mechanistic interpretability · visual perception · emotion · social cognition · neural coding

Selected publications

2021
Fear balance is maintained by bodily feedback to the insular cortex in mice
Alexandra S. Klein, Nate Dolensek, Caroline Weiand, Nadine Gogolla

Science · doi:10.1126/science.abj8817
2020
Machine-learning approaches to classify and understand emotion states in mice
Nate Dolensek, Nadine Gogolla

Neuropsychopharmacology · doi:10.1038/s41386-020-00857-8
2020
Facial expressions of emotion states and their neuronal correlates in mice
Nate Dolensek, Daniel A. Gehrlach, Alexandra S. Klein, Nadine Gogolla

Science · doi:10.1126/science.aaz9468 · code
2019
Aversive state processing in the posterior insular cortex
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

Nature Neuroscience · doi:10.1038/s41593-019-0469-1

A complete and current list is on Google Scholar.