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Neuroscience Homepage  > Faculty List > Redish

A. David Redish, Ph.D.
Professor, Department of Neuroscience
Office:  MCB 4-142
Phone:  (612) 626-3738   

Personal Home Page: Click here.

Spatial reasoning and navigation: from neurons to behavior

My lab has two main research objectives. The first is to further our understanding of how multiple learning and memory systems interact to produce behavior. The second is to apply the theories that arise from the neurophysiology and computational modeling to explain dysfunctional and broken behavioral-control systems, as occurs in addiction. To meet these objectives, the lab combines multi-electrode neural ensemble recordings from awake, behaving animals with complex computational analysis techniques that enable measurement of neural dynamics at very fast time scales (e.g. msec). The lab also builds computational models at all scales (single-neuron compartmental models to large-scale systemic models to abstract algorithmic models) to connect the multiple levels of neurophysiology and behavior. Modern neuroscience sees the brain as an information-processing device.

Understanding how the brain processes information requires understanding the representations used by the network of neurons that compose the brain. However, representations in the brain are distributed: each cell carries only a small portion of the total information. I am interested in questions of how neural structures work together to create systems able to accomplish behavioral tasks.

More specifically, we have ongoing projects in

  • the dynamics of neural ensemble activity in multiple systems (hippocampus, dorsal, ventral striatum, orbitofrontal cortex) during learning,

  • the interaction between multiple learning systems (such as hippocampus and striatum) in the ability to accomplish complex tasks,

  • computational models of addiction and other disorders.

As rats come to difficult choices, they sometimes pause and look back and forth, a phenomenon termed "vicarious trial and error" (VTE) behavior. During VTE behavior, hippocampal neurons represent the potential paths ahead of the animal. Data from Johnson and Redish (2007) J. Neuroscience.

Selected Publications
Wikenheiser A.M. and Redish A.D. (2011)
Changes in reward contingency modulate the trial-to-trial variability of hippocampal place cells.
J. Neurophysiol. 106(2): 589-98
van der Meer MA, Redish AD. (2011)
Theta phase precession in rat ventral striatum links place and reward information.
J. Neurosci. 31(8): 2843-54
van der Meer M.A., Kalenscher T., Lansink C.S., Pennartz C.M., Berke J.D. and Redish A.D. (2010)
Integrating early results on ventral striatal gamma oscillations in the rat.
Front. Neurosci. 4: 300
van der Meer M.A. and Redish A.D. (2010)
Expectancies in decision making, reinforcement learning, and ventral striatum.
Front. Neurosci. 4: 6
Kurth-Nelson Z. and Redish AD. (2010)
A reinforcement learning model of precommitment in decision making.
Front. Behav. Neurosci. 4: 184
van der Meer M.A., Johnson A., Schmitzer-Torbert N.C. and Redish A.D. (2010)
Triple dissociation of information processing in dorsal striatum, ventral striatum, and hippocampus on a learned spatial decision task.
Neuron 67(1): 25-32
van der Meer M.A., Kalenscher T., Lansink C.S., Pennartz C.M., Berke J.D. and Redish A.D. (2010)
Integrating early results on ventral striatal gamma oscillations in the rat.
Front. Neurosci. 4: 28
van der Meer M.A. and Redish A.D. (2009)
Low and High Gamma Oscillations in Rat Ventral Striatum have Distinct Relationships to Behavior, Reward, and Spiking Activity on a Learned Spatial Decision Task.
Front. Integr. Neurosci. 3: 9
van der Meer M.A. and Redish A.D. (2009)
Covert Expectation-of-Reward in Rat Ventral Striatum at Decision Points.
Front. Integr. Neurosci. 3: 1
Redish A.D., Jensen S. and Johnson A. (2008)
A unified framework for addiction: vulnerabilities in the decision process.
Behav. Brain Sci. 31(4): 415-37
Johnson A., van der Meer M.A.A. and Redish A.D. (2007)
Integrating hippocampus and striatum in decision-making
Curr. Opin. Neurobiol. 17(6): 692-97
Johnson A. and Redish A.D. (2007)
Neural ensembles in CA3 transiently encode paths forward of the animal at a decision point
J. Neurosci. 27(45): 12176-89
Jackson J.C. and Redish A.D. (2007)
Network dynamics of hippocampal cell-assemblies resemble multiple spatial maps within single tasks.
Hippocampus 17(12): 1209-29
Redish A.D. and Johnson A. (2007)
A computational model of craving and obsession.
Ann. N. Y. Acad. Sci. 1104: 324-39
Jackson J.C., Johnson A. and Redish A.D. (2006)
Hippocampal sharp waves and reactivation during awake states depend on repeated sequential experience.
J. Neurosci. 26(48): 12415-26
Masimore B., Schmitzer-Torbert N.C., Kakalios J. and Redish A.D. (2005)
Transient striatal gamma local field potentials signal movement initiation in rats.
Neuroreport 16(18): 2021-24
Venkateswaran R., Boldt C., Parthasarathy J., Ziaie B., Erdman A.G. and Redish AD. (2005)
A motorized microdrive for recording of neural ensembles in awake behaving rats.
J Biomech Eng. 127(6): 1035-40
Johnson A. and Redish A.D. (2005)
Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning model.
Neural Netw. 218(9): 1163-71
Johnson A., Seeland K. and Redish A.D. (2005)
Reconstruction of the postsubiculum head direction signal from neural ensembles.
Hippocampus 15(1): 86-96
Schmitzer-Torbert N., Jackson J., Henze D., Harris K., Redish A.D. (2005)
Quantitative measures of cluster quality for use in extracellular recordings.
Neuroscience 131(1): 1-11
Redish A.D. (2004)
Addiction as a computational process gone awry.
Science 306(5703): 1944-47
Masimore B., Kakalios J. and Redish A.D. (2004)
Measuring fundamental frequencies in local field potentials.
J Neurosci Methods. 138(1-2): 97-105 Erratum in: J Neurosci Methods. 2005 Feb 15;141(2):333.
Jackson J.C. and Redish A.D. (2003)
Detecting dynamical changes within a simulated neural ensemble using a measure of representational quality.
Network. 14(4): 629-45
Rosenzweig E.S., Redish A.D., McNaughton B.L. and Barnes C.A. (2003)
Hippocampal map realignment and spatial learning.
Nat Neurosci. 6(6): 609-15
Redish AD
Beyond the Cognitive Map
1999, MIT Press
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