Research Topics
| AARON D REDISHSummaryAffiliation: University of Minnesota Country: USA Publications
| Collaborators
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Detail Information
Publications
Hippocampal map realignment and spatial learningEphron S Rosenzweig
Arizona Research Laboratories, Division of Neural Systems, Memory, and Aging, 384 Life Sciences North, University of Arizona, Tucson, Arizona 85724, USA
Nat Neurosci 6:609-15. 2003..Thus, changes in the effectiveness with which the hippocampal spatial representation is updated on the basis of external cues may contribute to both within-age-group spatial learning variability and age-related spatial learning deficits...- The hippocampal debate: are we asking the right questions?A D Redish
Department of Neuroscience, University of Minnesota, 6 145 Jackson Hall, Minneapolis, MN 55455, USA
Behav Brain Res 127:81-98. 2001..I will review recent experimental data which seems to support this theory over the more general spatial or memory theories traditionally applied to hippocampus... - Reconciling reinforcement learning models with behavioral extinction and renewal: implications for addiction, relapse, and problem gamblingA David Redish
Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
Psychol Rev 114:784-805. 2007..This model has implications for dysfunctional states, including relapse after addiction and problem gambling... - A computational model of craving and obsessionA David Redish
Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
Ann N Y Acad Sci 1104:324-39. 2007..This theory can explain why opioid antagonists reduce both hedonic responses and craving... - Addiction as a computational process gone awryA David Redish
Department of Neuroscience, 6 145 Jackson Hall, 321 Church Street SE, University of Minnesota, Minneapolis, MN 55455, USA
Science 306:1944-7. 2004..The model provides an explanation for important aspects of the addiction literature and provides a theoretic view-point with which to address other aspects... 
Triple dissociation of information processing in dorsal striatum, ventral striatum, and hippocampus on a learned spatial decision taskMatthijs A A van der Meer
Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
Neuron 67:25-32. 2010..This triple dissociation suggests that the different roles these structures play are due to differences in information-processing mechanisms...
Temporal-difference reinforcement learning with distributed representationsZeb Kurth-Nelson
Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota, United States of America
PLoS ONE 4:e7362. 2009..Because each microAgent also includes its own exponential discounting factor, the overall agent shows hyperbolic discounting, consistent with behavioral experiments...- Network dynamics of hippocampal cell-assemblies resemble multiple spatial maps within single tasksJadin Jackson
Graduate Program in Neuroscience, University of Minnesota, Minnneapolis, Minnesota, USA
Hippocampus 17:1209-29. 2007.... - Neuronal activity in the rodent dorsal striatum in sequential navigation: separation of spatial and reward responses on the multiple T taskNeil Schmitzer-Torbert
Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota 55455, USA
J Neurophysiol 91:2259-72. 2004..Maze-responsive and reward-responsive neurons were two separate populations, suggesting a divergence in striatal information processing of navigation and reward... - Battery-operated high-bandwidth multi-channel wireless neural recording system using 802.11bJayant Parthasarathy
Dept of Electr Eng, Minnesota Univ, Minneapolis, MN 55455, USA
Conf Proc IEEE Eng Med Biol Soc 1:5989-92. 2006..11b protocol. In a typical application, the system was used to collect data from micro-wire electrodes implanted in the ventral striatum of an awake and behaving rat. The complete system weighs 87 g (without battery) and consumes 2.7 W... - An integrated CMOS bio-potential amplifier with a feed-forward DC cancellation topologyJayant Parthasarathy
Dept of Electr Eng, Minnesota Univ, Minneapolis, MN 55455, USA
Conf Proc IEEE Eng Med Biol Soc 1:2974-7. 2006..5 microm technology (0.05 mm2 area). Measurement results show a gain of 43.5 dB in the pass band (<1 mHz-5 KHz), an input referred noise of 3.66 microVrms, and a current consumption of 22 microA... - A unified framework for addiction: vulnerabilities in the decision processA David Redish
Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
Behav Brain Sci 31:415-37; discussion 437-87. 2008..This has implications for an individual's susceptibility to addiction and the transition to addiction, for the potential for relapse, and for the potential for treatment... - Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning modelAdam Johnson
Center for Cognitive Sciences and Graduate Program in Neuroscience, University of Minnesota, MN 55455, USA
Neural Netw 18:1163-71. 2005..These models provide testable predictions relating the effects of hippocampal inactivation as well as hippocampal replay on this task... - Neural ensembles in CA3 transiently encode paths forward of the animal at a decision pointAdam Johnson
Center for Cognitive Sciences, Univeristy of Minnesota, Minneapolis, Minnesota 55455, USA
J Neurosci 27:12176-89. 2007..These data suggest that the hippocampus does not represent space as a passive computation, but rather that hippocampal spatial processing is an active process likely regulated by cognitive mechanisms... - Reconstruction of the postsubiculum head direction signal from neural ensemblesAdam Johnson
Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota 55455, USA
Hippocampus 15:86-96. 2005..Because coherency is a linear measure dependent only on internal variables, coherency may be a behaviorally relevant measure used to ascertain the animal's confidence in its representation of orientation... - Detecting dynamical changes within a simulated neural ensemble using a measure of representational qualityJadin C Jackson
Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
Network 14:629-45. 2003..While the examples used in this paper all derive from a standard network model, the measure itself is very general. It requires only a representational space, measured tuning curves, and neural ensembles... - Integrating hippocampus and striatum in decision-makingAdam Johnson
University of Minnesota, Neuroscience, Minneapolis, MN 55455, United States
Curr Opin Neurobiol 17:692-7. 2007.... - Hippocampal sharp waves and reactivation during awake states depend on repeated sequential experienceJadin C Jackson
Graduate Program in Neuroscience, University of Minnesota, Minneapolis, Minnesota 55455, USA
J Neurosci 26:12415-26. 2006..Additional studies in CA3 and CA1 found that the number of sharp waves emitted also increased in CA3 recordings as well as CA1, but that the time courses were different between the two structures... - Transient striatal gamma local field potentials signal movement initiation in ratsBeth Masimore
Department of Physics and Astronomy, University of Minnesota, Minneapolis, Minnesota 55455, USA
Neuroreport 16:2021-4. 2005..This synchronous oscillation may provide a key to understanding striatal function, as well as basal ganglia pathology, which often impairs the control of voluntary movements...