/David S. Touretzky

David S. Touretzky

Portrait of David S. Touretzky
Courtesy Faculty
Office: 9013 Gates and Hillman Centers
Phone: (412) 268-7561
Personal Homepage

Mailing Address

The first of my two major research areas is the representation of spatial information in the rodent brain. I develop computational models of the hippocampus, an area thought to be involved in navigation and learning. There is evidence that the hippocampal “cognitive map” combines visual landmark information with another, internal sense of position maintained by path integration. I also model the rodent head direction system, which combines vestibular signals with visual landmark information to maintain an estimate of the animal’s heading, and is a necessary prerequisite for path integration. My students and I have developed computational models which have reproduced a variety of behavioral and neurophysiological observations in these systems, and led to novel predictions.

My second major research area is models of animal learning and their implementation on mobile robots. Current projects include reinforcement learning models of the dopamine reward system, models of classical conditioning based on statistical inference, and a behavioral framework for the Sony AIBO robot.

Displaying 66 Publications
Robotics for computer scientists: What’s the big idea?
David S. Touretzky

Journal Article, Computer Science Education, Vol. 23, No. 4, pp. 349-367, January, 2013
Segmentation of spatial experience by hippocampal theta sequences
Anoopum S. Gupta, M. A. A. van der Meer, David S. Touretzky and A. D. Redish

Journal Article, Nature Neuroscience, Vol. 15, No. 7, pp. 1032-1039, January, 2012
The Tekkotsu Robotics Development Environment
Ethan Tira-Thompson and David S. Touretzky

Conference Paper, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA-2011), Shanghai, China, pp. 6084-6089, May, 2011
Hippocampal Replay is Not a Simple Function of Experience
Anoopum S. Gupta, M. A. A. van der Meer, David S. Touretzky and A. D. Redish

Journal Article, Neuron, January, 2010
Preparing computer science students for the robotics revolution
David S. Touretzky

Journal Article, Communications of the ACM, Vol. 53, No. 8, pp. 27-29, January, 2010
Changes In Goal Selection Induced By Cue Conflicts Are In Register With Predictions From Changes In Place Cell Field Locations
David S. Touretzky, J. L. Kubie, A. Fenton, N. Novikov and R. U. Muller

Journal Article, Carnegie Mellon University, Behavioral Neuroscience, Vol. 121, No. 4, pp. 751-763, January, 2007
Context Learning In The Rodent Hippocampus
David S. Touretzky and M. C. Fuhs

Journal Article, Carnegie Mellon University, Neural Computation, Vol. 19, No. 12, pp. 3173-3215, January, 2007
Dual-coding representations for robot vision in Tekkotsu
David S. Touretzky, N.S. Halelamien, Ethan Tira-Thompson, J.J. Wales and Kei Usui

Journal Article, Carnegie Mellon University, Autonomous Robots, Vol. 22, No. 4, pp. 425 - 435, January, 2007
Place Field Dissociation And Multiple Maps In Hippocampus
David S. Touretzky and R. U. Muller

Journal Article, Carnegie Mellon University, Neurocomputing, Vol. 69, No. 10, January, 2006
Influence of path integration vs. environmental orientation on place cell remapping between visually identical environments
M.C. Fuhs, S.R. VanRhoads, A.E. Casale, B. McNaughton and David S. Touretzky

Journal Article, Journal of Neurophysiology, January, 2005
Model uncertainty in classical conditioning
Aaron Courville, N.D. Daw, Geoffrey Gordon and David S. Touretzky

Book Section/Chapter, Advances in NeuralInformation Processing 16, January, 2005
Tekkotsu: A framework for AIBO cognitive robotics.
David S. Touretzky and Ethan Tira-Thompson

Conference Paper, Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), January, 2005
Tekkotsu: Cognitive robotics on the Sony AIBO
Ethan Tira-Thompson, N.S. Halelamien, J.J. Wales and David S. Touretzky

Conference Paper, Proceedings of the Sixth International Conference on Cognitive Modelling, pp. 390 - 391, July, 2004
Deforming the hippocampal map
David S. Touretzky, W.E. Weisman, M.C. Fuhs, W.E. Skaggs, A.A. Fenton and R.U. Muller

Journal Article, Carnegie Mellon University, Hippocampus, Vol. 15, No. 1, pp. 41 - 55, June, 2004
Cognitive primitives for mobile robots
Ethan Tira-Thompson, N.S. Halelamien, J.J. Wales and David S. Touretzky

Conference Paper, AAAI 2004 Fall Symposium Series, "The Intersection of Cognitive Science and Robotics: From Interfaces to Intelligence" report FS-04-05, pp. 110 - 111, January, 2004
Timing and partial observability in the dopamine system
Nathaniel Daw, Aaron Courville and David S. Touretzky

Book Section/Chapter, Advances in Neural Information Processing Systems 15, January, 2003
Long-term reward prediction in TD models of the dopamine system
Nathaniel Daw and David S. Touretzky

Journal Article, Carnegie Mellon University, Neural Computation, Vol. 14, No. 11, pp. 2567 - 2583, November, 2002
Combining configural and TD learning on a robot
David S. Touretzky, Nathaniel Daw and Ethan Tira-Thompson

Conference Paper, Proceedings of the IEEE Second International Conference on Development and Learning, pp. 47 - 52, January, 2002
Dopamine and inference about timing
Nathaniel Daw, Aaron Courville and David S. Touretzky

Conference Paper, Proceedings of the IEEE Second International Conference on Development and Learning, pp. 271 - 276, January, 2002
Modeling temporal structure in classical conditioning
Aaron Courville and David S. Touretzky

Book Section/Chapter, Advances in Neural Information Processing Systems 14, January, 2002
Operant behavior suggests attentional gating of dopamine system inputs
N. D. Daw and David S. Touretzky

Journal Article, Neurocomputing, Vol. 38, No. 40, pp. 1161 - 1167, January, 2001
The rodent navigation circuit
David S. Touretzky

Book Section/Chapter, The Neural Basis of Navigation: Evidence from Single Cell Recording, pp. 217 - 233, January, 2001
Behavioral considerations suggest an average reward TD model of the dopamine system
N.D. Daw and David S. Touretzky

Book Section/Chapter, Neurocomputing, Vol. 32, pp. 679 - 684, January, 2000
Modeling attractor deformation in the rodent head direction system
J. P. Goodridge and David S. Touretzky

Journal Article, Journal of Neurophysiology, Vol. 83, No. 6, pp. 3402 - 3410, January, 2000
Synaptic learning models of map separation in the hippocampus
M. C. Fuhs and David S. Touretzky

Journal Article, Neurocomputing, Vol. 32, pp. 379 - 384, January, 2000
Separating hippocampal maps
A.D. Redish and David S. Touretzky

Book Section/Chapter, The Hippocampal and Parietal Foundations of Spatial Cognition, pp. 203 - 219, January, 1999
A visually driven hippocampal place cell model
M.C. Fuhs, A.D. Redish and David S. Touretzky

Book Section/Chapter, Computational Neuroscience: Trends in Research, pp. 379 - 384, January, 1998
The role of the hippocampus in solving the Morris water maze
A.D. Redish and David S. Touretzky

Journal Article, Neural Computation, Vol. 10, No. 1, pp. 73-111, January, 1998
The role of the hippocampus in the Morris water maze
A.D. Redish and David S. Touretzky

Book Section/Chapter, Computational Neuroscience: Trends in Research, pp. 101 - 106, January, 1998
A parallel licensing model of normal slips and phonemic paraphasias
D.W. Wheeler and David S. Touretzky

Journal Article, Brain and Language, Vol. 59, No. 1, pp. 147-201, January, 1997
Application of a model of instrumental conditioning to mobile robot control
Lisa Saksida and David S. Touretzky

Conference Paper, Sensor Fusion and Decentralized Control in Autonomous Robotic Systems, Vol. 3209, pp. 55-66, January, 1997
Cognitive maps beyond the hippocampus.
A.D. Redish and David S. Touretzky

Journal Article, Hippocampus, Vol. 7, No. 1, pp. 15-35, January, 1997
Implications of attractor networks for cue conflict situations
A.D. Redish and David S. Touretzky

Journal Article, Soc. Neurosci. Abstr., Vol. 23, January, 1997
Lateral mamillary input explains distortions in tuning curve shapes of anterior thalamic head direction cells
J.P. Goodridge, A.D. Redish, H.T. Blair, P.E. Sharp and David S. Touretzky

Journal Article, Soc. Neurosci. Abstr., Vol. 23, January, 1997
Navigating with landmarks: computing goal locations from place codes
A.D. Redish and David S. Touretzky

Book Section/Chapter, Symbolic Visual Learning, January, 1997
Operant conditioning in Skinnerbots
David S. Touretzky and Lisa Saksida

Journal Article, Adaptive Behavior, Vol. 5, January, 1997
Place cell-like location specific activity may be generated without complex landmark identification processes
M. C. Fuhs, A. D. Redish and David S. Touretzky

Journal Article, Soc. Neurosci. Abstr., Vol. 23, January, 1997
Shaping robot behavior using principles from instrumental conditioning
Lisa Saksida, S.M. Raymond and David S. Touretzky

Journal Article, Robotics and Autonomous Systems, Vol. 22, pp. 231-249, January, 1997
A coupled attractor model of the rodent head direction system
A.D. Redish, A.N. Elga and David S. Touretzky

Journal Article, NETWORK, Vol. 7, No. 4, pp. 671-685, January, 1996
An anatomically grounded theory of rodent navigation
A.D. Redish and David S. Touretzky

Journal Article, Soc. Neurosci. Abstr., Vol. 22, January, 1996
Gerbils regularly return to their starting point when exploring a novel environment
David S. Touretzky, S.J.C. Gaulin and A.D. Redish

Journal Article, Soc. Neurosci. Abstr., Vol. 22, January, 1996
Modeling interactions of the rat’s place and head direction systems
A.D. Redish and David S. Touretzky

Book Section/Chapter, Advances in Neural Information Processing Systems 8, January, 1996
Skinnerbots
David S. Touretzky and Lisa Saksida

Conference Paper, Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pp. 285-294, January, 1996
Theory of rodent navigation based on interacting representations of space
David S. Touretzky and A.D. Redish

Journal Article, Hippocampus, Vol. 6, No. 3, pp. 247-270, January, 1996
Feature Center: Getting the Picture from Documents and Drawings
Robert H. Thibadeau, Richard Romero and David S. Touretzky

Tech. Report, CMU-RI-TR-95-32, Robotics Institute, Carnegie Mellon University, July, 1995
Landmark-based navigation in gerbils supports vector voting
Lisa Saksida, A.D. Redish, C.R. Milberg, S.J. Gaulin and David S. Touretzky

Journal Article, Soc. Neurosci. Abstr., Vol. 21, January, 1995
Neural Network Classifiers for Optical Chinese Character Recognition
Richard Romero, Robert W. Berger, Robert H. Thibadeau and David S. Touretzky

Miscellaneous, January, 1995
The involvement of pasive path integration in learning the Morris water maze
S.H. Alyan, David S. Touretzky and J.S. Taube

Journal Article, Soc. Neurosci. Abstr, Vol. 21, January, 1995
A rodent navigation model that combines place code, head direction, and path integration information
H.S. Wan, David S. Touretzky and A.D. Redish

Journal Article, Soc. Neuro. Abstr., Vol. 20, January, 1994
Computing goal locations from place codes
H.S. Wan, David S. Touretzky and A.D. Redish

Conference Paper, Proceedings of the 16th annual conference of the Cognitive Science society, pp. 922-927, January, 1994
Connectionist models and linguistic theory: investigations of stress systems in language
P. Gupta and David S. Touretzky

Journal Article, Cognitive Science, Vol. 18, No. 1, January, 1994
Landmark arrays and the hippocampal cognitive map
David S. Touretzky and A.D. Redish

Conference Paper, Current trends in connectionism - Proceedings of the 1995 Swedish Conference on Connectionism, January, 1994
Neural representations of space in rats and robots
David S. Touretzky, H.S. Wan and A.D. Redish

Book Section/Chapter, Computational Intelligence: Imitating Life, pp. 57-68, January, 1994
Reconstructing physical symbol systems
David S. Touretzky and Dean Pomerleau

Journal Article, Cognitive Science, Vol. 18, No. 2, pp. 345-353, January, 1994
The reaching task: Evidence for vector subtraction in the motor system?
A.D. Redish and David S. Touretzky

Journal Article, Biological Cybernetics, Vol. 71, No. 4, pp. 307-317, January, 1994
The sinusoidal array: a theory of vector computation in cortex
A.D. Redish, David S. Touretzky and H.S. Wan

Conference Paper, Proceedings of the Computational Neurosciences Conference, January, 1994
Towards a computational theory of rat navigation
H.S. Wan, David S. Touretzky and A.D. Redish

Conference Paper, Proceedings of the 1993 Connectionist Models Summer School, January, 1994
Video Applications Development Platform
Robert H. Thibadeau, Robert W. Berger, David S. Touretzky and D. Lindsay

Tech. Report, CMU-RI-TR-93-04, Robotics Institute, Carnegie Mellon University, March, 1993
Analysis of Feature Detectors Learned by a Neural Network Autonomous Driving System
Dean Pomerleau and David S. Touretzky

Conference Paper, International Conference on Intelligent Autonomous Systems (IAS-3) contitle:Understanding Neural Network Internal Representations through Hidden Unit Sensitivity Analysis, pp. 572-581, February, 1993
Neural representation of space using sinusoidal arrays
David S. Touretzky, A.D. Redish and H.S. Wan

Journal Article, Neural Computation, Vol. 5, No. 6, pp. 869-884, January, 1993
Sinusoidal arrays: a theory of vector representation in parietal and motor cortex
David S. Touretzky, A.D. Redish, H.S. Wan and B.L. McNaughton

Journal Article, Soc. Neuro. Abstr., Vol. 19, January, 1993
Understanding Neural Network Internal Representations through Hidden Unit Sensitivity Analysis
Dean Pomerleau and David S. Touretzky

Conference Paper, Proceedings of the International Conference on Intelligent Autonomous Systems, January, 1993
Back Propagation on Warp
G.L. Gusciora, Dean Pomerleau, David S. Touretzky and H.T. Kung

Book Section/Chapter, Artificial Neural Networks: Applications and Implementations, January, 1990
What’s hidden in the hidden units?
David S. Touretzky and Dean Pomerleau

Journal Article, BYTE, Vol. 14 pub_number: 8, pp. 227-233, August, 1989
Neural network simulation at Warp speed: How we got 17 million connections per second
Dean Pomerleau, G.L. Gusciora, David S. Touretzky and H.T. Kung

Conference Paper, Proceedings of IEEE International Joint Conference on Neural Networks, Vol. 2, pp. 143 - 150, July, 1988
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