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Publications, by Area

Publications ordered by areas of specialty

(* denotes joint first authorship)

Neuroscience - Learning & Memory

Dataset of human medial temporal lobe single neuron activity during declarative memory encoding and recognition (original, OA)
Faraut MCM, Carlson AA, Sullivan S, Tudusciuc O, Ross I, Reed CM, Chung JM, Mamelak AN, Rutishauser U
Scientific Data, 5:180010 (2018)

Novelty-Sensitive Dopaminergic Neurons in the Human Substantia Nigra Predict Success of Declarative Memory Formation (original, OA)
Kaminski J, Mamelak A.N, Birch K, Mosher C.P, Michele Tagliati M, Rutishauser U
Current Biology, 28(9):1333-1343 (2018)

Human episodic memory retrieval is accompanied by a neural contiguity effect (original, OA) (biorxiv)
Folkerts S, Rutishauser U, Howard M
Journal of Neuroscience, 38(17):4200-4211 (2018)

Persistently active neurons in human medial frontal and medial temporal lobe support working memory. (fulltext) (Press release)
J. Kaminksi, S. Sullivan, J.M. Chung, I.B. Ross, A.N. Mamelak, U. Rutishauser
Nature Neuroscience, 20(4):590-601 (2017)

Representation of retrieval confidence by single neurons in the human medial temporal lobe. (fulltext)
U. Rutishauser, S. Ye, M. Koroma, O. Tudusciuc, I.B. Ross, J.M. Chung, A.N. Mamelak
Nature Neuroscience, 18(7):1041-50 (2015)

Pupil size signals novelty and predicts later retrieval success for declarative memories of natural scenes (original,open access)
M. Naber, S.Fraessle, U. Rutishauser, W. Einhauser
Journal of Vision, 13:22 (2013)

Human memory strength is predicted by theta-frequency phase-locking of single neurons (original) (pdf) (Faculty of 1000 Neuroscience) (Faculty of 1000 Neurological disorders)
U. Rutishauser, I.B. Ross, A.N. Mamelak, E.M. Schuman
Nature, 903-907 (464), 2010.
Research highlight "Learning and memory: It's all in the timing" in Nature Reviews Neuroscience.

Activity of human hippocampal and amygdala neurons during retrieval of declarative memories (original, open access) (pdf article) (pdf supplement)
U. Rutishauser, E.M. Schuman, A.N. Mamelak
Proceedings of the National Academy of Science, 105:329-34, 2008.

Single-trial learning of novel stimuli by individual neurons of the human hippocampus-amygdala complex (pdf) (supplement) (original) (HHMI News article) (Caltech News article) (Faculty of 1000 evaluation)
U. Rutishauser, AN Mamelak, EM Schuman
Neuron, 49:805-813, 2006.

Neuroscience - Physiology of face processing

The human amygdala parametrically encodes the intensity of specific facial emotions and their categorical ambiguity. (fulltext) (press release)
Wang, S., R. Yu, J.M. Tyszka, S. Zhen, C. Kovach, S. Sun, Y. Huang, R. Hurlemann, I.B. Ross, J.M. Chung, A.N. Mamelak, R. Adolphs, U. Rutishauser
Nature Communcations, 8: p. 14821 (2017)

Fixations Gate Species-Specific Responses to Free Viewing of Faces in the Human and Macaque Amygdala. (fulltext) (Press release)
J. Minxha, C. Mosher, J.K. Morrow, A.N. Mamelak, R. Adolphs, K.M. Gothard, U. Rutishauser
Cell Reports, 18(4):878-891 (2017)

The primate amygdala in social perception - insights from electrophysiological recordings and stimulation (fulltext)
U. Rutishauer, A.N. Mamelak, R. Adolphs.
Trends in Neurosciences, 38(5):295-306 (2015)

Neurons in the Human Amygdala Selective for Perceived Emotion (original)
S. Wang, O. Tudusciuc, A.N. Mamelak, I.B. Ross, R. Adolphs, U.Rutishauser
Proceedings of the National Academy of Science (PNAS), E3110–E3119 (2014)

Single-Neuron Correlates of Atypical Face Processing in Autism (original)
U.Rutishauser, O. Tudusciuc, S. Wang, A.N. Mamelak, I.B. Ross, R. Adolphs
Neuron, 80:887-899 (2013)

Single-unit responses selective for whole faces in the human amygdala (original) (press release)
U.Rutishauser, O. Tudusciuc, D. Neumann, A.N. Mamelak, A.C. Heller, I.B. Ross, L. Philpott, W. Sutherling, R. Adolphs
Current Biology, 21(10):1654-1660, 2011.
Dispatch "Face Recognition: Vision and Emotions beyond the Bubble" in Current Biology 21(21), 2011.

Neuroscience - Decision making

Encoding of Target Detection during Visual Search by Single Neurons in the Human Brain (original) (local pdf)
Wang S, Mamelak AN, Adolphs R, Rutishauser U
Current Biology, 28(13):2058-2069 (2018)

Single-Neuron Representation of Memory Strength and Recognition Confidence in Left Human Posterior Parietal Cortex. (original) (press release) (local pdf)
Rutishauser U, Aflalo T, Rosario ER, Pouratian N, Andersen RA.
Neuron, 97(1):209-220 (2018)

Predeliberation activity in prefrontal cortex and striatum and the prediction of subsequent value judgment (original)
U. Maoz, U. Rutishauser, S. Kim, X. Cai, D. Lee, C. Koch C
Frontiers in Decision Neuroscience, 7:225 (2013)

Neuroscience - Methods and Algorithms

Safety and Utility of Hybrid Depth Electrodes for Seizure Localization and Single-Unit Neuronal Recording (Original, OA)
Carlson AA, Rutishauser U, Mamelak AN.
Stereotact Funct Neurosurg. 16:1-9 (2018)

Automatic detection of periods of slow wave sleep based on intracranial depth electrode recordings. (original) (local pdf)
Reed CM, Birch KG, Kami?ski J, Sullivan S, Chung JM, Mamelak AN, Rutishauser U.
J Neurosci Methods. 2017 Apr 15;282:1-8.

A method for closed-loop presentation of sensory stimuli conditional on the internal brain-state of awake animals (original, open access)(supplement)
U. Rutishauser, A. Kotowicz, G. Laurent
Journal of Neuroscience Methods, 215:139-55 (2013)

Online detection and sorting of extracellularly recorded action potentials in human medial temporal lobe recordings, in vivo (download software) (original) (pdf) (arXiv)
U. Rutishauser, EM Schuman, AN Mamelak
Journal of Neuroscience Methods, 154:204-224, 2006.

Neuroscience - Brain stimulation

Subthalamic Nuclei Deep Brain Stimulation Improves Color Vision in Patients with Parkinson's Disease. (fulltext)
O.M. Dumitrascu, J. Kaminski, U. Rutishauser, M. Tagliati
Brain Stimulation, 9(6):948-949 (2016)

Neuroscience - Human Vision, Psychophysics

Time course of target recognition in visual search (pdf)
A. Kotowicz, U. Rutishauser, C. Koch
Frontiers in Human Neuroscience 4:31, 2010.

Task-demands can immediately reverse the effects of sensory-driven saliency in complex visual stimuli (original, open access)
W. Einhauser, U. Rutishauser, C. Koch
Journal of Vision, 8(2):2, 1-19, 2008.

The Relation of Phase-Noise and Luminance-Contrast to Overt Attention in Complex Visual Stimuli (pdf) (original, open access)
W. Einhauser, U. Rutishauser, E.P Frady, S. Nadler, P. Koenig, C. Koch
Journal of Vision, 6:1148-1158, 2006.

Neuroscience - Computational Modeling and Theory

Solving constraint-satisfaction problems with distributed neocortical-like neuronal networks. (arxiv preprint)
Rutishauser U, Jean-Jacques Slotine, Rodney Douglas
Neural computation, 30(5):1359-1393 (2018)

Computation in dynamically bounded asymmetric systems (original)
U. Rutishauser, JJ. Slotine, RJ. Douglas.
PLOS Computational Biology, 11(1): e1004039, (2015)

Competition with and without priority control: linking rivalry to attention through winner-take-all networks with memory (original, open source)
S. Marx, G. Gruenhage, D. Walper, U. Rutishauser, W. Einhauser
Ann NY Acad Sci, 1339:138-53 (2015)

Learning and Stabilization of Winner-Take-All Dynamics Through Interacting Excitatory and Inhibitory Plasticity (original)
J. Binas, U. Rutishauser, G. Indiveri, M. Pfeiffer, M.
Frontiers in Computational Neuroscience, 8:68 (2014)

Synthesizing Cognition in Neuromorphic electronic Systems (original) (data) (press release)
E. Neftci, J. Binas, U. Rutishauser, E. Chicca, G. Indiveri, R. J. Douglas
Proceedings of the National Academy of Science (PNAS), 110: E3468-E76 (2013)
Commentary on this paper: Reverse engineering the cognitive brain (PNAS).

Competition through selective inhibitory synchrony (arxiv) (original)
U. Rutishauser, J.J.E. Slotine, R.J. Douglas,
Neural computation 24(8): 2033-2052, 2012.

Collective stability of networks of winner-take-all circuits (pre-print pdf) (official version) (Arxiv)
U. Rutishauser, R.J. Douglas, J.J.E. Slotine
Neural computation 23(3):735-773, 2011.

State dependent computation using coupled recurrent networks (abstract) (pdf)
U. Rutishauser, R.J. Douglas
Neural computation, 21(2):478-509, 2009.

Probabilistic modeling of eye movement data during conjunction search via feature-based attention (pdf) (original, open access) (Video of a few visual search trials for oriented colored bars and eye saccades/fixations of a subject)
U. Rutishauser, C. Koch
Journal of Vision, 7(6):5, 1-20, 2007.

Computational Vision/Machine Vision

Selective visual attention enables learning and recognition of multiple objects in cluttered scences (pdf)(Original from Elsevier)
D. Walther*, U. Rutishauser*, C. Koch and P. Perona
Computer Vision and Image Understanding, 100:41-63, 2005.

Is bottom-up attention useful for object recognition? (abstract, homepage, pdf,supplement,Poster,
Note: This paper won the best poster award in the track recognition and sensors)
U. Rutishauser*, D. Walther*, C. Koch, P. Perona
Proceedings of the 2004 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2004), 2:37-44.

On the usefulness of attention for object recognition (homepage, pdf)
D. Walther*, U. Rutishauser*, C. Koch, P. Perona
2nd Workshop on Attention and Performance in Computational Vision (2004), at the European Computer Vision Confererence (ECCV04), 96-103.

Machine Learning and Artificial Intelligence

Control and learning of ambience by an intelligent building (pdf)
U. Rutishauser, J. Joller, R. Douglas
IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans, Special Issue on Ambient Intelligence, 35:121-132, 2005.

Design for a brain revisited: The neuromorphic design and functionality of the interactive space Ada (abstract)(download pdf)
Eng, K and Klein, D and Baebler, A and Bernadet, U and Blanchard, M and Costa, M and Delbruck, T and Douglas, R J and Hepp, K and Manzolli, J and Mintz, M and Roth, F and Rutishauser, U and Wassermann, K and Whatley, A M and Wittmann, A and Wyss, R and Verschure, P F M J.
Reviews in the Neurosciences, 14:(1-2) 145-180, 2003.

Discovery of logical structures in a multisensor environment based on sparse events (abstract,download,more info)
J. Trindler, R. Zwiker, U. Rutishauser, J.Joller, R. Douglas
Workshop on Ambient Intelligence, 8th National Congress of Italian Association for Artificial Intelligence, Pisa, Italy, September 2003.

Ada: a playful interactive space (download paper) (download associated video)
A. Baebler, U. Bernardet, M. Blanchard, A. Briska, M. Costa, T. Delbrueck, R. Douglas, K. Eng, K. Hepp, D. Klein, J. Manzolli, M. Mintz, F. Roth, U. Rutishauser, P. Verschure, K. Wassermann, A. Wittmann, A. M. Whatley, and R. Wyss.
INTERACT'03 : IFIP TC13 International Conference on Human-Computer Interaction, 1st-5th September 2003, Zurich, Switzerland. pp989-992, Rauterberg, M et al. (Eds.), IOS Press, 2003.

Ada - Intelligent Space: An artificial creature for the Swiss Expo.02. (pdf)
K. Eng, A. Baebler, U. Bernardet, M. Blanchard, M. Costa, T. Delbruck, R. J. Douglas, K. Hepp, D. Klein, J. Manzolli, M. Mintz, F. Roth, U. Rutishauser, K. Wassermann, A. M. Whatley, A. Wittmann, R. Wyss, and P. F. M. J. Verschure
Proceedings of the 2003 IEEE International Conference on Robotics and Automation (ICRA 2003), May, 3: 4154-4159,2003.

Ada: constructing a synthetic organism (download)
K. Eng, A. Baebler, U. Bernardet, M. Blanchard, A. Briska, J. Conradt, M. Costa, T. Delbruck, R. Douglas, K. Hepp, D. Klein, J. Manzolli, M. Mintz, T. Netter, F. Roth, U. Rutishauser, K. Wassermann, A. Whatley, A. Wittmann, R. Wyss, and P. Verschure
Intelligent Robots and System, 2002. IEEE/RSJ International Conference on, 2:1808-1813, 2002.

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