List of publications from the Redish Lab: last updated on 30 March 2023.

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In press

• C. F. Runge, J. A. Johnson, E. A. Nelson, A. D. Redish (In press) A neuroscience-based analysis of impacts of disaster memory on economic valuation. Journal of Neuroscience, Psychology, and Economics.
  • Modeling code is available at: https://github.com/adredish/FloodModels.git

2023

• G. W. Diehl, A. D. Redish (2023) Differential processing of decision information in subregions of rodent medial prefrontal cortex. eLife 12:e82833.
  • Also available as a preprint.
  • Data is available at: https://osf.io/s5xqm/
• D. Levenstein, V. A. Alvarez, A. Amarasingham, H. Azab, Z. S. Chen, R. C. Gerkin, A. Hasenstaub, R. Iyer, R. B. Jolivet, S. Marzen, J. D. Monaco, A. A. Prinz, S. Quraishi, F. Santamaria, S. Shivkumar, M. F. Singh, R. Traub, H. G. Rotstein, F. Nadim, A. D. Redish (2023) On the role of theory and modeling in neuroscience. Journal of Neuroscience 43.7 (2023): 1074-1088.
  • Also available as a preprint.
• E. B. Lind, B. M. Sweis, A. J. Asp, M. Esguerra, K. A. Silvia, A. D. Redish, M. J. Thomas (2023) A quadruple dissociation of reward-related behavior in mice across excitatory inputs to the nucleus accumbens shell. Communications Biology 6:119. 
• A. E. McLaughlin, A. D. Redish (2023) Optogenetic Disruption of the Prelimbic Cortex Alters Long-Term Decision Strategy but Not Valuation on a Spatial Delay Discounting Task. Neurobiology of Learning and Memory. 200:107734.
• W. W. Pettine, D. V. Raman, A. D. Redish, J. D. Murray (2023) Human generalization of internal representations through prototype learning with goal-directed attention. Nature Human Behavior.
  • Available as a preprint
  • simulation code .
  • Jupyter notebook to aid in model intuition
  • task code

Preprints

• D. Surinach, M.L Rynes, K. Saxena, E. Ko, A. D. Redish, S. B. Kodandaramaiah (2023) Distinct mesoscale cortical dynamics encode search strategies during spatial navigation. bioRxiv 2023.03.27.534480; doi: https://doi.org/10.1101/2023.03.27.534480
• S. Kalhan, M.I. Garrido, R. Hester, A.D. Redish (2023) Reward prediction-errors weighted by cue salience produces addictive behaviors in simulations, with asymmetrical learning and steeper delay discounting. bioRxiv 2023.03.19.533364; doi: https://doi.org/10.1101/2023.03.19.533364

2022

• A.D. Redish, S.V. Abram, P.J. Cunningham, A.A. Duin, R. Durand-de Cuttoli, R. Kazinka, A. Kocharian, A.W. MacDonald III, B. Schmidt. N. Schmitzer-Torbert, M.J. Thomas, B.M. Sweis (2022) Sunk cost sensitivity during change-of-mind decisions is informed by both the spent and remaining costs. Communications Biology 5:1337.
  • Modeling and data figure generation code is available at: https://github.com/adredish/SunkCostModelsAndData2022.
• A. F. Haynos, A. S. Widge, L. M. Anderson, A. D. Redish (2022) "Beyond description and deficits: How computational psychiatry can enhance an understanding of decision-making in anorexia nervosa" Current Psychiatry Reports. doi:/10.1007/s11920-022-01320-9
  • Also available in PsyArXiv as an Unreviewed preprint.

• A.D. Redish, A. Kepecs, L. M. Anderson, O. Calvin, N. Grissom, A.F. Haynos, S. R. Heilbronner, A.B. Herman, S. Jacob, S. Ma, I. Vilares, S. Vinogradov, C.J. Walters, A.S. Widge, J.L. Zick, A. Zilverstand (2022) “Computational Validity: Using Computation to translate behaviors across species”.  Philosophical Transactions of the Royal Society B 377:20200525.

• S. Vinogradov, A. A. Hamid, A. D. Redish (2022). Etiopathogenic models of psychosis spectrum illnesses must resolve four key features. Biological Psychiatry 92(6):514-522.

2021

• O. L. Calvin, A. D. Redish (2021) “Global Disruption in Excitation-Inhibition Balance Can Cause Localized Network Dysfunction and Schizophrenia-Like Context-Integration Deficits” PLoS Computational Biology 17(5): e1008985. [PDF]
  • Modeling code is available at: https://github.umn.edu/ocalvin/Modelling-Code
• C.S.J. Chen, R.B. Ebitz, S. Bindas, A.D. Redish, B. Hayden, N.M. Grissom (2021) Divergent strategies for learning in males and females. Current Biology 31:1-12. [PDF]
• C. Conelea, S. Jacob, A. D. Redish, I. S. Ramsay (2021) “Considerations for pairing Cognitive Behavioral Therapies and Noninvasive Brain Stimulation: Ignore at your own risk” Frontiers in Psychiatry 12:660180. doi: 10.3389/fpsyt.2021.660180. [PDF]
• P.J. Cunningham, P.S. Regier, A.D. Redish (2021) “Dorsolateral striatal task-initiation bursts represent past experiences more than future action plans” Journal of Neuroscience 41(38):8051-8064. [PDF]
• A. A. Duin, L. Aman, B. Schmidt, A. D. Redish (2021) “Certainty and uncertainty of the future changes planning and sunk costs” Behavioral Neuroscience 135(4), 469–486. https://doi.org/10.1037/bne0000460 [PDF]
• L. T. Hunt, N. D. Daw, P. Kaanders, M. A. MacIver, U. Mugan, E. Procyk, A. D. Redish, E. Russo, J. Scholl, K. Stachenfeld, C. R. E. Wilson, N. Kolling (2021) “Formalising planning and information search in naturalistic decision-making” Nature Neuroscience. https://doi.org/10.1038/s41593-021-00866-w [PDF]
• S. Kalhan, A. D. Redish, R. Hester, M. I. Garrido (2021) “A salience misattribution model for addictive-like behaviors” Neuroscience and Biobehavioral Reviews 125:466-477. [PDF]
• R. Kazinka, A. W. MacDonald III, A. D. Redish (2021) “Sensitivity to sunk costs depends on attention to the delay” Frontiers in Psychology 12:373.[PDF]
  • Data is available at: https://osf.io/v3e8t/
• A.E. McLaughlin, G.W. Diehl, A.D. Redish (2021) Potential roles of the rodent medial prefrontal cortex in conflict resolution between multiple decision-making systems. International Review of Neurobiology 158:249-281. [PDF]
• B. Schmidt, A. D. Redish (2021) “Disrupting the medial prefrontal cortex with DREADDs alters hippocampal sharp-wave ripples and their associated cognitive processes” Hippocampus. 31(10):1051-1067. [PDF]
• A. D. Redish (2021) “Addiction from a Computational Perspective” in Computational Psychiatry: A Primer, P. Series (ed) Chapter 9, pgs. 185-204 MIT Press. [PDF]

Preprints

• A. D. Redish, B. M. Sweis, S. Abram, A. Duin, R. Kazinka, A. Kocharian, A. MacDonald, B. Schmidt, N. Schmitzer-Torbert, M. Thomas (2021) Sunk cost sensitivity in mice, rats, and humans on the Restaurant Row and WebSurf tasks cannot be explained by attrition biases alone. bioRxiv.  Unreviewed preprint.
• W. W. Pettine, D. V. Raman, A. D. Redish, J. D. Murray (2021) Human latent-state generalization through prototype learning with discriminative attention. PsyArXiv. Unreviewed preprint.

2020

• B. M. Hasz, A. D. Redish (2020) Spatial encoding in dorsomedial prefrontal cortex and hippocampus is related during deliberation. Hippocampus 30:1194-1208.[PDF]
• B. M. Hasz, A. D. Redish (2020) Dorsomedial prefrontal cortex and hippocampus represent strategic context even while simultaneously changing representation throughout a task session. Neurobiology of Learning and Memory 171:107215. [PDF]
• E. Kummerfeld, S. Ma, R. K. Blackman, A. L. DeNicola, A. D. Redish, S. Vinogradov, D. A. Crowe, M. V. Chafee (2020) Cognitive control errors in nonhuman primates resembling those in schizophrenia reflect opposing effects of NMDAR blockade on causal interactions between cells and circuits in prefrontal and parietal cortex. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5(7):705-714. [PDF]
• A. D. Redish (2020) Beyond Replay: Introduction to the special issue on hippocampal replay. Hippocampus, 30(1):3-5. [PDF]

Preprints

• D. Levenstein, V. A. Alvarez, A. Amarasingham, H. Azab, R. C. Gerkin, A. Hasenstaub, R. Iyer, R. B. Jolivet, S. Marzen, J. D. Monaco, A. A. Prinz, S. Quraishi, F. Santamaria, S. Shivkumar, M. F. Singh, D. B. Stockton, R. Traub, H. G. Rotstein, F. Nadim, A. D. Redish (2020) On the role of theory and modeling in neuroscience. arXiv.  Unreviewed preprint.

2019

• S. V. Abram, M. Hanke, A. D. Redish, A. W. MacDonald (2019) Neural signatures underlying deliberation in human foraging decisions. Cognitive, Affective, & Behavioral Neuroscience, 19(6):1492-1508. [PDF]
• S. V. Abram, A. D. Redish, A. W. MacDonald (2019) “Learning from loss after risk: Dissociating reward pursuit and reward valuation in a naturalistic foraging task” Frontiers in Psychiatry 10.3389/fpsyt.2019.00359.
  • Reprinted in E-book: H. Ekhtiari, A. Verdejo-García, S. J. Moeller, A. M. Baldacchino, M. P. Paulus, (eds) (2021) “Brain and Cognition for Addiction Medicine: From Prevention to Recovery. ”. [Research topic link] [E-Book link: including PDF and EPUB]
• A. D. Redish, R. Kazinka, A. B. Herman (2019) “Taking an engineer’s view: Implications of network analysis for computational psychiatry”, Behavioral and Brain Sciences 42:36-47.   Commentary on Borsboom et al. “Brain disorders? Not really: why network structures block reductionism in psychopathology research” Behavioral and Brain Sciences 42:1-11.
• B. Schmidt, A. A. Duin, A. D. Redish (2019) “Disrupting the medial prefrontal cortex alters hippocampal sequences during deliberative decision making” Journal of Neurophysiology 121(6):1981-2000. [PDF]
• C. J. Walters, J. Jubran, A. Sheehan, M. T. Erickson, A. D. Redish (2019) “Avoid-approach conflict behaviors differentially affected by anxiolytics: implications for a computational model of risky decision-making” Psychopharmacology 236(8):2513-2525. [PDF]

2018                                                                                                                                           

• B. Schmidt, A. M. Wikenheiser, A. D. Redish (2018) “Goal-directed sequences in the hippocampus” in Goal-Directed Decision Making: Computations and Neural Circuits R. Morris, A. Bornstein, A. Shenhav (eds), Academic Press, Elsevier, Chapter 6, pgs. 125-151. [PDF]
• B. M. Sweis, M. J. Thomas, A. D. Redish (2018) “Beyond simple tests of value: Measuring addiction as a heterogeneous disease of computation-specific valuation processes” Learning and Memory 25:501-512.
• B. M. Hasz, A. D. Redish (2018) “Deliberation and Procedural Automation on a Two-Step Task for Rats ” Frontiers in Integrative Neuroscience DOI:10.3389/fnint.2018.00030
• B. M. Sweis, S. V. Abram, B. J. Schmidt, K. D. Seeland, A. W. MacDonald, M. J. Thomas, A. D. Redish (2018) “Sensitivity to ‘sunk costs’ in mice, rats, and humans” Science 361:178-181.
  • Free links (only available if directly traversing from this webpage) [abstract][PDF][Full Text]
  • See also perspective by S. F. Brosnan “When persistence doesn’t pay” Science 361:124-125.
• B. M. Sweis, M. J. Thomas, A. D. Redish (2018) “Mice learn to avoid regret” PLoS Biology 16(6): e2005853.
• B. M. Sweis, E. B. Larson, A. D. Redish, M. J. Thomas (2018) “Altering gain of the infralimbic to accumbens shell circuit alters economically dissociable decision-making algorithms”. PNAS 115(27):E6347-E6355.
• B. M. Sweis, A. D. Redish, M. J. Thomas (2018) “Prolonged abstinence from cocaine or morphine disrupts separable valuations during decision conflict” Nature Communications 9(1):2521.
• M. Ferrante, A. D. Redish, M. Oquendo, B. Averbeck, M. Kinnane, J. Gordon (2018) “Computational Psychiatry: A report from the 2017 NIMH Workshop on opportunities and challenges”. Molecular Psychiatry 10.1038/s41380-018-0063-z.
• S. Amemiya, A. D. Redish (2018) “Hippocampal theta-gamma coupling reflects state-dependent information processing in decision making”. Cell Reports 22(12):3328-3338. 
• A. D Redish, E. Kummerfeld, R. L. Morris, A. Love (2018) “Opinion: Reproducibility failures are essential to scientific inquiry” PNAS 115(20):5042-5046. [PDF]
• L. K. McLoon, A. D. Redish (2018) “Demystifying graduate school: Navigating an PhD in neuroscience and beyond” Journal of Undergraduate Neuroscience Education (JUNE) 16(3):A203-A209. [PDF]
• A. D. Redish, M. W. Howard (2018) “The legacy of Adam Johnson” Hippocampus 28(6):453-454. [PDF]

2017

• J. Lisman, G. Buzsáki, H.Eichenbaum, L. Nadel, C. Rangananth, A. D.Redish (2017) “Viewpoints: how the hippocampus contributes to memory, navigation and cognition” Nature Neuroscience 20:1434-1447. [PDF]
• C. J. Walters, A. D. Redish (2017) “A case study in computational psychiatry: addiction as failure modes of the decision-making system” in Computational Psychiatry: Mathematical modeling of mental illness, (A. Anticevic and J. Murray, eds). Elsevier. [PDF]
• K. J. Friston, A. D. Redish, J. A. Gordon (2017) “Computational Nosology and Precision Psychiatry”. Computational Psychiatry 1:2-23. [PDF]              
• Z. Kurth-Nelson, A. D. Redish (2017) “Precommitment: A way around temptation” Frontiers for Young Minds 5:26. [PDF]

2016                                                                                                                                           

• A. E. Papale, M. C. Zielinski, L. Frank, S. Jadhav, A. D. Redish (2016) “Interplay between hippocampal sharp wave ripple events and vicarious trial and error behaviors in decision making” Neuron 92(5):975-982. [PDF]
• S. V. Abram, Y. A. Breton, B. Schmidt, A. D. Redish, A. W. MacDonald III (2016) “The Web-Surf Task: A translational model of human decision-making” Cognitive, Affective, and Behavioral Neuroscience 16(1):37-50. [PDF]
• S. Amemiya, A. D. Redish (2016) “Manipulating Decisiveness in Decision Making - Effects of Clonidine on Hippocampal Search Strategies” The Journal of Neuroscience 36(3):814-827 [PDF]
• Evan C. Carter, A. D. Redish (2016) “Rats value time differently on equivalent foraging and delay-discounting tasks” Journal of Experimental Psychology: General 145(9):1093-1101 [PDF]
• N. J. Powell, A. D. Redish (2016) “Representational changes of latent strategies in rat medial prefrontal cortex precede changes in behavior” Nature Communications 7:12830. [PDF]
• A. D. Redish (2016) “Vicarious Trial and Error” Nature Reviews Neuroscience 17:147-159. [PDF]
• A. D. Redish, N. W. Schultheiss, E. C. Carter (2016) “The computational complexity of valuation and motivational forces in decision-making processes”, Current Topics in Behavioral Neuroscience 27:313-333. [PDF]

From Computational Psychiatry: New Perspectives on Mental Illness

• J. A. Gordon, A. D. Redish (2016) “On the cusp: Current Challenges and Promises in Psychiatry” in Computational Psychiatry: New Perspectives on Mental Illness” Redish and Gordon (eds), Strüngmann Forum Reports, vol. 20, series ed. J. Lupp. Cambridge MA: MIT Press, Chapter 1, pages 3-14. [PDF]
• A. D. Redish, J. A. Gordon (2016) “Breakdowns and failure modes: An Engineer’s View” in Computational Psychiatry: New Perspectives on Mental Illness” Redish and Gordon (eds), Strüngmann Forum Reports, vol. 20, series ed. J. Lupp. Cambridge MA: MIT Press, Chapter 2, pages 15-29. [PDF]
• S. B. Flagel, D. S. Pine, S. E. Ahmari, M. B. First, K. J. Friston, C. Mathys, A. D. Redish, K. Schmack, J. W. Smoller, A. Thapar (2016) “A Novel Framework for Improving Psychiatric Diagnostic Nosology” in Computational Psychiatry: New Perspectives on Mental Illness” Redish and Gordon (eds), Strüngmann Forum Reports, vol. 20, series ed. J. Lupp. Cambridge MA: MIT Press, Chapter 10, pages 169-199. [PDF]
• A. D. Redish, J. A. Gordon (2016) “From Psychiatry to Computation and Back Again” in Computational Psychiatry: New Perspectives on Mental Illness” Redish and Gordon (eds), Strüngmann Forum Reports, vol. 20, series ed. J. Lupp. Cambridge MA: MIT Press, Chapter 17, pages 319-329. [PDF]

2015

• A. D. Redish (2015) “Addiction as a symptom of failure modes in the machineries of decision-making” (Book chapter for Handbook on the Cognitive Neuroscience of Addiction, S. J. Wilson, ed.). Chapter 7, pages 151-172.
• P. S. Regier, S. Amemiya, A. D. Redish (2015) “Hippocampus and subregions of the dorsal striatum respond differently to a behavioral strategy change on a spatial navigation task” Journal of Neurophysiology 114(3):1399-1416. [PDF]
• J. J. Stott, A. D. Redish (2015) “Representations of value in the brain: An embarrassment of riches?” PLoS Biology 13(6):e1002174. [Commentary on Strait, Sleezer, Hayden 2015 PLOS Biology.][PDF]
• P. S. Regier, A. D. Redish (2015) “Contingency Management and deliberative decision-making processes” Frontiers in Psychiatry 6:0076. [PDF]
  • Reprinted in E-book: V. David, M. Walton, D. Beracochea (eds) (2018) “Memory systems of the addicted brain: the underestimated role of drug-induced cognitive biases in addiction and its treatment”. [Research topic link] [E-Book link: PDF EPUB]
• N. W. Schultheiss, A. D. Redish (2015) “The compass within” Nature Neuroscience, 18:482-483. [News and Views on Peyrache & Buzsaki 2015 NNsci.][PDF]
• Y. A. Breton, K. D. Seeland, A. D. Redish (2015) “Aging impairs deliberation and behavioral flexibility in inter-temporal choice” Frontiers in Aging Neuroscience 10.3389/fnagi.2015.00041 .[PDF]
• A. M. Wikenheiser, A. D. Redish (2015) “Hippocampal theta sequences reflect current goals” Nature Neuroscience 18:289-294. PDF]
• A. D. Redish, S. J. Y. Mizumori (2015) “Memory and Decision Making” Neurobiology of Learning and Memory 117:1-3. [PDF]
  • Introduction to a special issue on “Memory and Decision Making”, edited by SJYM and ADR.
• T. T. Hills, P. M. Todd, D. Lazer, A. D. Redish, I. D. Couzin, and the Cognitive Search Research Group* (*M. Bateson, R. Cools, R. Dukas, L. Giraldeau, M. W. Macy, S. E. Page, R. M. Shiffrin, D. W. Stephens, B. Uzzi, J. W. Wolfe) (2015) “Exploration versus Exploitation in Space, Mind, and Society” Trends in Cognitive Sciences 19(1):46-54. [PDF]
• A. M. Wikenheiser, A. D. Redish (2015) “Hippocampal sequences and the cognitive map” In Analysis and Modeling of Coordinated Multi-neuronal Activity, Springer Series in Computational Neuroscience 12, M. Tatsuno, ed. Springer, Chapter 5, pages 105-129. [PDF]
• A. M. Wikenheiser, A. D. Redish (2015) “Decoding the cognitive map: ensemble hippocampal sequences and decision making” Current Opinion in Neurobiology 32:8-15. [PDF]

2014

• W. Bickel, R. D. Landes, Z. Kurth-Nelson, A. D. Redish (2014) “A Quantitative Signature Of Self-Control Repair: Rate-Dependent Effects Of Successful Addiction Treatment” Clinical Psychological Science 2(6):685-695. [PDF]
• A. P. Steiner, A. D. Redish (2014) “Behavioral and neurophysiological correlates of regret in rat decision-making on a neuroeconomic task” Nature Neuroscience 17:995-1002. [PDF]
  • See also spotlight by G. B. Bissonette, D. W. Bryden, and M. R. Roesch (2014) "You Won't Regret Reading This". Nature Neuroscience, 17:892-893. 
• J. J. Stott, A. D. Redish (2014) “A functional difference in information processing between orbitofrontal cortex and ventral striatum during decision-making behavior” Philosophical Transactions of the Royal Society B 369:20130472 [PDF]
• N. J. Powell, A. D. Redish (2014) “Complex neural codes in rat prelimbic cortex are stable across days on a spatial decision task” Frontiers in Behavioral Neuroscience 8:00120. [PDF]
• M. Takahashi, H. Nishida, A. D. Redish, J. Lauwereyns (2014) “Theta Phase Shift in Spike Timing and Modulation of Gamma Oscillation: A Dynamic Code for Spatial Alternation during Fixation in Rat Hippocampal Area CA1” J. Neurophysiology 111:1601-1614. [PDF]

2013

• A. D. Redish (2013) “The Dangers of Dualism: Implications of the multiple decision-making system theory for Free Will and Responsibility” Cognitive Critique 7:1-28. [PDF]
• B. J. Schmidt, A. D. Redish (2013) ”Navigation with a cognitive map” Nature 497:42-43. [Commentary on Pfeiffer & Foster 2013 Nature.] [PDF]
• B. J. Schmidt, A. E. Papale, A. D. Redish, E. J. Markus (2013) “Conflict between Place and Response Navigation Strategies: Effects on Vicarious Trial and Error (VTE) Behaviors” Learning and Memory 20:130-138. [PDF]
• A. M. Wikenheiser, A. D. Redish (2013) “The balance of forward and backward hippocampal sequences shifts across behavioral states” Hippocampus 23:22-29. [PDF]
• A. M. Wikenheiser, D. W. Stephens, A. D. Redish (2013) “Subjective costs drive overly-patient foraging strategies in rats on an intertemporal foraging task” PNAS 110(20):8308-8313 [[PDF]
  • Additional information is available in a supplementary file, describing additional models that were not accounted for in the paper.

2012

• J. E. Ferguson, C. Boldt, J. G. Puhl, T. W. Stigen, J. C. Jackson, K. M. Crisp, K. A. Mesce, T. I. Netoff, A. D. Redish (2012) “Nanowires precisely grown on the ends of microwire electrodes permit the recording of intracellular action potentials within deeper neural structures” Nanomedicine 7(6)847-854.[PDF]
• A.S. Gupta, M.A.A. van der Meer, D.S.Touretzky, A.D. Redish (2012) “Segmentation of spatial experience by hippocampal theta sequences” Nature Neuroscience 15(1032-1039). [PDF]
• Z. Kurth-Nelson, W. K. Bickel, A. D. Redish (2012) “A theoretical account of cognitive effects in delay discounting” European Journal of Neuroscience 35:1052-1064.[PDF]
• Z. Kurth-Nelson, A. D. Redish (2012) “Modeling decision-making systems in addiction” in Computational Neuroscience of Drug Addiction. B. Gutkin, S. Ahmed (eds). Springer. Chapter 6, pages 163-188.[PDF]
• Z. Kurth-Nelson and A. D. Redish (2012) “Don’t let me do that! – models of precommitment” Frontiers in Neuroscience 6:138. [PDF]
• A.E. Papale, J. J. Stott, N. J. Powell, P. S. Regier, A. D. Redish (2012) “Interactions between Deliberation and Delay-Discounting in Rats” Cognitive, Affective, and Behavioral Neuroscience 12(3):513-526. [PDF]
• A. E. Papale, R. Mork, C. Boldt, J. C. Jackson, J. E. Ferguson, A. D. Redish (2012) “Wireless Galvanic transmission through neural tissue via modulation of a carrier signal by a passive probe” Journal of Medical Devices 6(1):017509 [PDF].
• A. D. Redish and A. D. Ekstrom (2012) “Hippocampus and related areas: what the place cell literature tells us about cognitive maps in rats and humans” in Handbook of Spatial Cognition, D. Waller, L. Nadel, (eds). APA books.
• A.D. Redish (2012) “Search processes and hippocampus” in Cognitive Search: Evolution, Algorithms, and the Brain, P. M. Todd, T. T. Hills, T. W. Robbins (eds). Strüngmann Forum Reports, MIT Press. Chapter 6, pages 81-95. [PDF]
• A. P. Steiner, A. D. Redish (2012) “The road not taken: neural correlates of decision making in orbitofrontal cortex” Frontiers in Decision Neuroscience 6:131 doi:10.3389/fnins.2012.00131. [PDF]
• M. A. A. van der Meer, Z. Kurth-Nelson, A. D. Redish (2012) “Information processing in decision-making systems” The Neuroscientist 18(4):342-359.[PDF]
• A. M. Wikenheiser, A. D. Redish (2012) “Hippocampal sequences link past, present and future” TICS 16(7):361-362. (Spotlight on Jadhav/Kemere/German/Frank, 2012). [PDF]
• C. A. Winstanley, T. W. Robbins, B. W. Balleine, J. W. Brown, C. Büchel, R. Cools, D. Durstewitz, J. P. O’Doherty, C. M. A. Pennartz, A. D. Redish, J. K. Seamans (2012)  "Search, goals, and the brain", in Cognitive Search: Evolution, Algorithms, and the Brain, P. M. Todd, T. T. Hills, T. W. Robbins (eds). Strüngmann Forum Reports, MIT Press. Chapter 9, pages 125-156. [PDF]

2011

• W. Bickel, R. Landes, D. Christensen, L. Jackson, B. Jones, Z. Kurth-Nelson, A. D. Redish (2011) “Single- and Cross-Commodity Discounting Among Cocaine Addicts: The Commodity and Its Temporal Location Determine Discounting Rate” Psychopharmacology 217(2):177-187. [PDF]
• J. E. Ferguson, A. D. Redish (2011) “Wireless communication with implanted medical devices using the conductive properties of the body” Expert Reviews of Medical Devices 8(4):427-33. [PDF]
• J. E. Ferguson, J. C. Jackson, A. D. Redish (2011) “An inside look at hippocampal silent cells” Neuron 70:3-5. [PDF]
• A. Blumenthal, A. P. Steiner, K. D. Seeland, A. D. Redish (2011) “Effects of pharmacological manipulations of NMDA-receptors on deliberation in the Multiple-T task” Neurobiology of Learning and Memory 95:376-384 [PDF]
• M. A. A. van der Meer, A. D. Redish (2011) “Theta phase precession in rat ventral striatum links place and reward information” Journal of Neuroscience. [PDF]
• M. A. A. van der Meer, A. D. Redish (2011) “Ventral striatum: a critical look at models of learning and evaluation” Current Opinion in Neurobiology 21(3):387-392. [PDF]
• A. M. Wikenheiser, A. D. Redish (2011) “Changes in reward contingency modulate the trial to trial variability of hippocampal place cells” J Neurophysiology 106(2):589-598. [PDF]

2010

• Z. Kurth-Nelson, A. D. Redish (2010) “A Reinforcement Learning Model of Pre-commitment in Decision Making” Frontiers in Behavioral Neuroscience 4:184. [PDF]
• M. A. A. van der Meer, T. Kalensher, C. S. Lansink, C. M. A. Pennartz, J. Berke, A. D. Redish (2010) “Integrating early results on ventral striatal gamma oscillations in the rat” Frontiers in Neuroscience 4(28)1-12.[PDF]
• M. A. A. van der Meer, A. Johnson, N. C. Schmitzer-Torbert, A. D. Redish (2010) “Triple dissociation of information processing in dorsal striatum, ventral striatum, and hippocampus on a learned spatial decision task” Neuron.67:25-32. [PDF]
• M. A. A. van der Meer, A. D. Redish (2010) “Expectancies in decision making, reinforcement learning, and ventral striatum” Frontiers in Neuroscience doi:10.3389/neuro.01.006.2010 [PDF]
• A. D. Redish, Z. Kurth-Nelson (2010) “Neural models of temporal discounting” in Impulsivity: Theory, Science, and Neuroscience of Discounting. APA books. Chapter 5. Pages 123-158.[PDF]
• A. S. Gupta, M. A. A. van der Meer, D. S. Touretzky, A. D. Redish (2010) “Hippocampal replay is not a simple function of experience” Neuron 65(5):695-705. [PDF]
  • See also spotlight by Derdikman, Moser (2010) “A dual role for hippocampal replay” Neuron 65(5):582-584.

2009

• J. E. Ferguson, C. Boldt, A. D. Redish (2009) “Creating low-impedance tetrodes by electroplating with additives” Sensors and Actuators: A. Physical 156:338-393. [PDF]
  • Detailed description of how to achieve this plating shown in Ferguson et al 2009 [PDF].
• A. Johnson, A. Fenton, C. Kentros, A. D. Redish (2009) “Looking for cognition in the structure in the noise” Trends in Cognitive Sciences 13(2):55-64. [PDF]
• A. Johnson, J. Jackson, A. D. Redish (2009) “Measuring distributed properties of neural representations beyond the decoding of local variables – implications for cognition” in Mechanisms of information processing in the Brain: Encoding of information in neural populations and networks. Holscher and Munk (Eds), Cambridge University Press, Cambridge UK. [PDF]
• Z. Kurth-Nelson, A. D. Redish (2009) “Temporal-difference reinforcement learning with distributed representations” PLoS ONE 4(10): e7362. [Link] [PDF]
• J. Lisman, A. D. Redish (2009) “Prediction, sequences, and the hippocampus” Philosophical Transactions of the Royal Society B 364:1193-1201. [PDF]
• C. Pennartz, J. D. Berke, A. Graybiel, R. Ito, C. Lansink, M. van der Meer, A. D. Redish, K. Smith, and P. Voorn (2009) "Corticostriatal Interactions during Learning, Memory Processing, and Decision Making" Journal of Neuroscience. 29(41):12831-12838. [PDF]
• A. D. Redish (2009) “Implications of the multiple-vulnerabilities theory of addiction for craving and relapse” Addiction. 104:1940-1941.
• M. A. A. van der Meer, A. D. Redish (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” Frontiers in Integrative Neuroscience 3:9.  [PDF]         
• M. A. A. van der Meer, A. D. Redish (2009) “Covert expectation-of-reward in rat ventral striatum at decision points” Frontiers in Integrative Neuroscience 3(1):1-15. [PDF]

2008

• A. D. Redish, S. Jensen, A. Johnson (2008) “A unified framework for addiction: vulnerabilities in the decision process” Behavioral and Brain Sciences 31:415-437 with discussion pp. 437-487. [PDF]
• N. C. Schmitzer-Torbert, A. D. Redish (2008) “Task-dependent encoding of space and events by striatal neurons is dependent on neural subtype” Neuroscience 153(2):349-360. [PDF]

2007

• J. C. Jackson, A. D. Redish (2007) “Network dynamics of hippocampal cell-assemblies resemble multiple spatial maps within single tasks” Hippocampus 17:1209-1229. [PDF]
• A. Johnson, M. A. A. van der Meer, A. D. Redish (2007) “Integrating hippocampus and striatum in decision making” Current Opinion in Neurobiology 17(6):692-697.[PDF]
• A. Johnson, A. D. Redish (2007) “Neural ensembles in CA3 transiently encode paths forward of the animal at a decision point” Journal of Neuroscience 27(45):12176-12189. [PDF]
• A. D. Redish, S. Jensen, A. Johnson, Z. Kurth-Nelson (2007) “Reconciling reinforcement learning models with behavioral extinction and renewal: implications for addiction, relapse, and problem gambling.” Psychological Review 114(3): 784-805. [PDF][Simulations]
• A. D. Redish, A. Johnson (2007) “A computational model of craving and obsession” Annals of the New York Academy of Sciences 1104: 324-339. [PDF]

2006

• J.C. Jackson, A. Johnson, A.D. Redish (2006) “Hippocampal sharp waves and reactivation during awake states depend on repeated sequential experience” Journal of Neuroscience 26:12415-12426. [PDF]
• J. Parthasarathy, J. Hogenson, A.G. Erdman, A.D. Redish, B. Ziaie (2006) “Battery-operated High-bandwidth Multi-channel Wireless Neural Recording System using 802.11b” 28th IEEE EMBS Annual International Conference. 1:5989-5992. [PDF]
• J. Parthasarathy, A.G. Erdman, A.D. Redish, B. Ziaie (2006) “An Integrated CMOS Bio-potential Amplifier with a Feed-Forward DC Cancellation topology” 28th IEEE EMBS Annual International Conference. 1:2974-2977. [PDF]

2005

• B. Masimore, N.C. Schmitzer-Torbert, J. Kakalios, A.D. Redish (2005) “Striatal local field potentials signal initiation of movement in rats” NeuroReport 16(18):2021-2024. [PDF]
• R. Venkateswaran, C. Boldt, J. Parthasarathy, B. Ziaie, A. G. Erdman, A. D. Redish (2005) “A motorized microdrive for recording of neural ensembles in awake behaving rats” Journal of Biomechanical Engineering 127:1035-1040.
• A. Johnson, A.D. Redish (2005) “Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning model” Neural Networks 18(9):1163-1171. [PDF]
• N.C. Schmitzer-Torbert, J.C. Jackson, D. Henze, K.D. Harris, A.D. Redish (2005) “Quantitative measures of cluster quality for use in extracellular recordings” Neuroscience 131:1-11. [PDF]
• A. Johnson, K. D. Seeland, A. D. Redish (2005) “Reconstruction of the postsubiculum head direction signal from neural ensembles” Hippocampus 15:86-96. [PDF]

2004

• A.D. Redish (2004) “Addiction as a computational process gone awry” Science 306:1944‑1947. [PDF]
• B. Masimore, J. Kakalios, A.D. Redish (2004) “Measuring fundamental frequencies in local field potentials” Journal of Neuroscience Methods 138(1-2):97-105. [PDF]
• N. C. Schmitzer-Torbert, A. D. Redish (2004) “Neuronal activity in the rodent dorsal striatum on a sequential navigation task: Separation of responses to sequence and reward on the multiple T task”, Journal of Neurophysiology 91(5):2259-2272. [PDF]
• J. C. Jackson, A.D. Redish (2004) “Measuring ensemble consistency without measuring tuning curves”, Neurocomputing 58-60C: 91-99. [PDF]

2003

• J.C. Jackson, A.D. Redish (2003) “Detecting dynamical changes within a simulated neural ensemble using a measure of representational quality” Network: Computation in Neural Systems, 14:629-645. [PDF]
• B. Masimore, J. Kakalios, A. D. Redish (2003) “Measuring neural coupling from non-Gaussian power spectra of voltage traces taken from awake, behaving animals”, Proceedings of SPIE vol. 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems, edited by Sergey M. Bezrukov, Hans Frauenfelder and Frank Moss. (SPIE, Bellingham, WA), pages 224-234.

2002

• N.C. Schmitzer-Torbert, A.D. Redish (2002) “Development of path-stereotypy in a single day in rats on a multiple-T maze” Archives Italiennes Biologie 140:295-301. [PDF]

2001

• A.D. Redish (2001) “The hippocampal debate: Are we asking the right questions?” Behavioural Brain Research 127:81-98. [PDF]

PhD Dissertations

• C. J. Walters (2021) Neural Computations Underpinning Anxiety in Health and Disease.  University of Minnesota.
• B. M. Hasz (2020) Model-free and Model-based Influence on Choice in Rodents and Interactions between Hippocampus and Prefrontal Cortex during Deliberation.  University of Minnesota. [PDF]
• B. M. Sweis (2018) Beyond simple tests of value: A neuroeconomic, translational, disease-relevant, and circuit-based approach to resolve the computational complexity of decision-making, University of Minnesota. [PDF]
• S. V. Abram (2017) Towards a translational model of decision-making: Findings from the Web-Surf Task, University of Minnesota. [PDF]
• J. J. Stott (2015) Information processing in the orbitofrontal cortex and the ventral striatum in rats performing an economic decision-making task, University of Minnesota. [PDF]
• A. E. Papale (2015) Hippocampal representations on the spatial delay discounting task, University of Minnesota. [PDF]
• P. S. Regier (2015) Decision Making Gone Awry: Dorsal striatum, decision-making, and addiction, University of Minnesota. [PDF]
• N. J. Powell (2015) Which way do I go? Strategic representations in rat prefrontal cortex on spatial decision tasks, University of Minnesota. [PDF]
• A. P. Steiner (2014) Regretful Choices: Neural Representations of Choice in the Orbitofrontal Cortex, Graduate Program in Neuroscience, University of Minnesota. [PDF]
• A. M. Wikenheiser (2014) Hippocampal Contributions to Value-guided Foraging, Graduate Program in Neuroscience, University of Minnesota. [PDF]
• A. S. Gupta (2011) Behavioral Correlates of Hippocampal Neural Sequences, The Robotics Institute, School of Computer Science, Carnegie Mellon University. [PDF]
• J. E. Ferguson (2011) Improving Neural Recording Technology at the Nanoscale, Graduate Program in Biomedical Engineering, University of Minnesota. [PDF]
• A. Johnson (2008) On the Use of Cognitive Maps, Graduate Program in Neuroscience, University of Minnesota. [PDF]
• B. Masimore (2008) Fluctuation Phenomena in Neurological Local Field Potentials, Department of Physics, University of Minnesota. [PDF]
• J. C. Jackson (2006) Network Consistency and Hippocampal Dynamics: Using the properties of cell assemblies to probe the hippocampal representation of space, Graduate Program in Neuroscience, University of Minnesota. [PDF]
• N.C. Schmitzer-Torbert (2004) The Involvement of the Rodent Striatum in Navigation, Graduate Program in Neuroscience, University of Minnesota. [PDF]

 

• A.D. Redish (1997) Beyond the Cognitive Map: Contributions to a Computational Theory of Rodent Navigation, Computer Science Department, Carnegie Mellon University. [PDF]

From previous labs…

• E. S. Rosenzweig, A. D. Redish, B. L. McNaughton, C. A. Barnes (2003) “Hippocampal map realignment and spatial learning”, Nature Neuroscience, 6(6):609-615. [PDF]
• A. D. Redish, F.P. Battaglia, M.K. Chawla, A.D. Ekstrom, J.L. Gerrard, P. Lipa, E.S. Rosenzweig, P.F. Worley, J.F. Guzowski, B.L. McNaughton, C.A. Barnes (2001) “Hippocampal pyramidal cells located near each other anatomically do not show related spatial firing correlates”, Journal of Neuroscience 21(RC134):1-6. [PDF]
• A. D. Redish, E. S. Rosenzweig, J. D. Bohanick, B. L. McNaughton, C. A. Barnes (2000) “Hippocampal ensemble activity realignment: Time vs. space”, Journal of Neuroscience, 20(24):9289-9309. [PDF]
• A. D. Redish, B. L. McNaughton, C. A. Barnes (2000) “Place cell firing shows an inertia-like process”, Neurocomputing, 32–33: 235–241. [PDF]
• J. P. Goodridge, A. D. Redish , and D. S. Touretzky (1999) “A model of the rodent head direction system that accounts for unique properties of anterior thalamic head direction cells”, Neurocomputing 26–27(1–3):705-711.
• A.D. Redish, D.S. Touretzky (1999) “Separating Hippocampal Maps”, Spatial Functions of the Hippocampal Formation and the Parietal Cortex, edited by N. Burgess, K. Jeffery, and J. O’Keefe, Oxford University Press, Chapter 11, pages 203-219 [PDF]
• A. D. Redish, B. L. McNaughton, and C. A. Barnes (1998) “Reconciling Barnes et al. (1997) and Tanila et al. (1997a, 1997b)”, Hippocampus 8(5): 438-443.
• A. D. Redish and D.S. Touretzky (1998) “The Role of the Hippocampus in Solving the Morris Water Maze”, Neural Computation 10(1): 73-112. [PDF]
• M.C. Fuhs, A.D. Redish, and D.S. Touretzky (1998) “A Visually Driven Hippocampal Model”, Computational Neuroscience: Trends in Research, edited by J. M. Bower, Kluwer Academic Press.
• A.D. Redish and D.S. Touretzky (1998) “The Role of the Hippocampus in Solving the Morris Water Maze”, Computational Neuroscience: Trends in Research, edited by J. M. Bower, Kluwer Academic Press.
• A. D. Redish and D.S. Touretzky (1997) “Cognitive Maps beyond the Hippocampus”, Hippocampus. 7(1): 15-35. [PDF]
• A.N. Elga, A.D. Redish, and D.S. Touretzky (1997) “A Model of the Rodent Head Direction System”, Computational Neuroscience: Trends in Research, edited by J. M. Bower, Kluwer Academic Press
• A.D. Redish, D.S. Touretzky (1997) “Computing Goal Locations from Place Codes”, in Symbolic Visual Learning, Katsu Ikeuchi and Manuela Veloso eds., Oxford University Press, Chapter 12 , pages 325-351. [PDF]
• A. D. Redish, A.N. Elga, and D.S. Touretzky (1996) “A Coupled Attractor Model of the Rodent Head Direction System”, Network: computation in neural systems. 7(4):671‑685. [PDF]
• D. S. Touretzky, A..D. Redish (1996) “A Theory of Rodent Navigation Based on Interacting Representations of Space”, Hippocampus 6(3): 247-270. [PDF]
• A.D. Redish, D.S. Touretzky (1996) “Modeling Interactions of the Rat's Place and Head Direction Systems”, Advances in Neural Information Processing Systems 8, D. S. Touretzky, M. C.. Mozer and M. E.. Hasselmo, eds., MIT Press, pages 61-67. [PDF]
• A. D. Redish, D.S. Touretzky (1994) “The Reaching Task: Evidence for vector subtraction in the motor system” Biological Cybernetics 71(4): 307-317.
• D.S. Touretzky, A.D. Redish, and H.S. Wan (1993) “Neural Representation of Space Using Sinusoidal Arrays”, Neural Computation, 5(6): 869-884. [PDF]
• D. S. Touretzky, A. D. Redish (1995) “Landmark Arrays and the Hippocampal Cognitive Map”, Current trends in connectionism - Proceedings of the 1995 Swedish Conference on Connectionism, L. Niklasson and M. Boden eds., pp 1-13, Lawrence Erlbaum. [PDF]
• A. D. Redish, D. S. Touretzky, H. S. Wan (1994) “The Sinusoidal Array: A Theory of Representation for Spatial Vectors”, Computation in Neurons and Neural Systems, F. H. Eeckman, ed., pp. 269-275, Kluwer Academic Publishers.
• D. S. Touretzky, H. S. Wan, A. D. Redish (1994) “Neural representations of space in rats and robots”, Computational Intelligence: Imitating Life, J. M. Zurada, R. J. Marks II, and C. J. Robinson eds., pp. 57-68, IEEE Press. [PDF]
• H. S. Wan, D. S. Touretzky, A. D. Redish (1994) “Computing Goal Locations from Place Codes”, Proceedings of the 16th annual conference of the Cognitive Science society, pp 922-927, Lawrence Earlbaum Associates.
• H. S. Wan, D. S. Touretzky, A. D. Redish (1993) “Towards a Computational Theory of Rat Navigation”, Proceedings of the 1993 Connectionist Models Summer School, M. Mozer, P. Smolensky, D. Touretzky, J. Elman, and A. Weigerd, eds., pp 11-19, Lawrence Earlbaum Associates. [PDF]