Welcome to the Rutishauser Laboratory of Systems Neuroscience
List of publications with download links, Pubmed, Google Scholar profile
We are currently interested to hear from highly qualified candidates for graduate student, research intern/associate, or postdoctoral positions with an interest in the neural basis of learning, memory and memory-based decision making at the single-neuron level in humans. We are also open to candidates interested in computational/theoretical work in this area.
PhD in neuroscience or closely related field and strong quantitative and programming skills are required.
Interested applicants should contact Ueli Rutishauser (email@example.com) for more info.
We have open graduate student positions through Caltech. Currently admitted students can contact us to arrange a rotation. We pre-dominantly recruit from the CNS program but are open to other programs as well.
Cedars-Sinai Office: Advanced Health Science Pavilion, Rooms A6441-44; Phone 310-967-8364. Profile E-mail.
Caltech Office: Moore Laboratory, Room 125; Phone 626-395-3474. Profile
Official Lab Website.
PhD, 2008, Computation and Neural Systems, California Institute of Technology (with Erin Schuman and Christof Koch).
Post-doc, 2008-2010, California Institute of Technology (with Erin Schuman).
Post-doc, 2010-2012, Max Planck Institute for Brain Research (with Gilles Laurent).
We are investigating the neural mechanisms of learning, memory, and decision making.
We are a systems neuroscience laboratory and use a combination of in-vivo single-unit electrophysiology in humans, intracranial electrocorticography, eye tracking,
behavior, and computational and theoretical approaches. An overarching goal is to capitalize on special neurosurgical situations to advance knowledge of the human nervous system. We have helped pioneer the technique
of human single-neuron recordings and continue to advance the tools, methods and surgical techniques that allow such experiments.
Recent work has focused on the neural representation of novelty and familiarity in the human hippocampus, amygdala and basal ganglia, the theta rhythm, investigation of learning abnormalities in movement disorders, and the neural representation of faces and emotions in the amygdala.
December 2018: Our new paper on 'error neurons' in medial frontal cortex is out in Neuron
November 2018: Ueli Rutishauser is awarded the Board of Governors Chair in Neurosciences by the Department of Neurosurgery at Cedars-Sinai Medical Center
July 2018: Ueli Rutishauser receives one of the 2018 Freedman Prizes for Exceptional Basic Research from the Brain and Behavior Disorders Foundation
May 2018: Ueli Rutishauser is elected to the Memory Disorders Research Society
April 2018: Our new paper on the 'neural jump back in time' is out in Journal of Neuroscience
April 2018: Our new paper on human dopamine cells is out in Current Biology
February 2018: Our Scientific Data descriptor and public data release is out.
December 2017: Our new paper on the PPC appeared in Neuron.
September 2017: We are very proud to have received an U01 award as part of the Brain Initiative
April 2017: Shuo Wang's new paper appeared in Nature Communications
Februrary 2017: Jan Kaminski's new paper appeared in Nature Neuroscience
January 2017: Juri Minxha's new paper appeared in Cell Reports.
August 2016: The lab has been awarded a R01 through the NIMH BRAINS program, covering 2016-2021.
January 2016: Ueli Rutishauser is awarded a NSF CAREER Award, covering 2016-2021.
November 2015: Ueli Rutishauser receives a McKnight Endowment Memory and Cognitive Disorders 2016 Award.
June 2015: Our new paper just appeared in Nature Neuroscience.
April 2015: Our new preview on the posterior parietal cortex is out in Neuron
April 2015: Our new review on the human amygdala appeared in Trends in Neuroscience
January 2015: Our new theory paper appeared in PLOS Computational Biology
September 2014: Ueli Rutishauser is named a Allen Brain Institute Next Generation Leader
April 2014: Ueli Rutishauser is awarded the 2014 Troland Award by the National Academy of Science.
Current group members
Our work is only possible because of a close collaboration between quantitative and experimental neuroscientists, neurologists and neurosurgeons -- combining science and medicine.
List of current members
List of Lab Alumni
Adam Mamelak, Neurosurgery, Cedars-Sinai |
Jeffrey Chung, Neurology, Cedars-Sinai
Chrystal Reed, Neurology, Cedars-Sinai
Michele Tagliati, Neurology, Cedars-Sinai
Ralph Adolphs, Caltech |
John O'Doherty, Caltech
Richard Andersen, Caltech
Rodney Douglas, ETHZ
Jean-Jacques Slotine, MIT
Wolfgang Einhaeuser, TU Chemnitz (Germany)
Wolfram Schultz, University of Cambridge (UK)
Katalin Gothard, University of Arizona
Nader Pouratian, UCLA
Costas Anastassiou, Allen Institute
Our work is only possible because of generous funding by federal, foundation and internal sources.
We greatfully acknowledge funding by the National Science Foundation (BCS), the National Institute of Health (NIMH, NIDA, NINDS), Cedars-Sinai Department of Neurosurgery Career Development Funds, Pfeiffer Foundation, Brain & Behavior Foundation NARSAD grant, the McKnight Endowment for Neuroscience, and the NIH NIMH Conte Center at Caltech.
Human single neuron recordings conference
The 3rd human single neuron recordings conference took place at Caltech Nov 10-11 2016. See here for the program and speakers and here for a group picture of all attendes.
The 4th human single neuron meeting will take place Nov 1-2 2018, at Caltech. Click here for more information.
We make available a number of open source software packages, including:
1. Spike detection and sorting package OSort. Updated in June 2018, released v4.1.
2. Neuralyx file format readers for Unix, MacOSX and similar NLXtools
3. Closed-loop realtime neurophysiology data processing package StimOMatic
We are sharing data of a number of our experiments. In the following, we provide links to the publicly available datasets.
1. Scientific Data data descriptor and data release (Dryad) of over 1500 human single neurons during new/old recognition memory task. The results published in Rutishauser et al 2015 Nat Neurosci are based on this dataset. The data release includes detailed documentation as well as example code, making it possible to re-use this dataset easily for teaching and research.
2. NIMH NDAR data collection for data acquired as part of our NIMH R01.
3. NIMH NDAR data collection of the Conte Center we are part of.
4. Zenodo open archive of eye tracking data and model code for our binocular rivalry study Marx et al.
5. Example human single neuron recordings are provided as part of OSort.
6. WTA simulation code, which forms the basis of all WTA-based theory work we published.
Cedars-Sinai Medical Center, Neuroscience Research
Department of Neurosurgery, Faculty
Division of Biology and Biological Engineering, Caltech
Last updated: 6/18/18