A. David Redish, PhD

Distinguished McKnight University Professor, Department of Neuroscience

A. David Redish

Contact Info


Office Phone 612-626-3738

Lab Address:
4-162 MCB


David Redish is a Distinguished McKnight University Professor in the Department of Neuroscience. He and his team explore the computational processes that underlie decision-making. His research addresses questions of addiction from the perspective of addiction as dysfunctions in those decision-making processes. His research interests span the neurophysiology of behavior, including computational, experimental, theoretical, and clinical approaches. His laboratory has major research efforts in theoretical explanations of the interactions of multiple decision-making systems, in the neurophysiology of the information processing in those decision-making systems, and in the clinical consequences of dysfunction in those decision-making systems. Through collaborations with other neuroscientists and psychologists translating their novel decision tasks to human populations, and clinicians testing consequences of their proposed explanations for dysfunction, Dr. Redish and his team explore the similarities and differences across species as a means of understanding addiction and its treatment.


Research Summary/Interests

Behavior, decision-making and information processing in neural systems

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.

Read more about research objectives and projects on the Redish Lab site


Haynos AF, Widge AS, Anderson LM, Redish AD. Beyond Description and Deficits: How Computational Psychiatry Can Enhance an Understanding of Decision-Making in Anorexia Nervosa. Curr Psychiatry Rep. 2022 Jan;24(1):77-87. doi: 10.1007/s11920-022-01320-9.

Redish AD, Kepecs A, Anderson LM, Calvin OL, Grissom NM, Haynos AF, Heilbronner SR, Herman AB, Jacob S, Ma S, Vilares I, Vinogradov S, Walters CJ, Widge AS, Zick JL, Zilverstand A. Computational validity: using computation to translate behaviours across species. Philos Trans R Soc Lond B Biol Sci. 2022 Feb 14;377(1844):20200525. doi: 10.1098/rstb.2020.0525.

Calvin OL, Redish AD. Global disruption in excitation-inhibition balance can cause localized network dysfunction and Schizophrenia-like context-integration deficits. PLoS Comput Biol. 2021 May 25;17(5):e1008985. doi: 10.1371/journal.pcbi.1008985.

Chen CS, Ebitz RB, Bindas SR, Redish AD, Hayden BY, Grissom NM. Divergent Strategies for Learning in Males and Females. Curr Biol. 2021 Jan 11;31(1):39-50.e4. doi: 10.1016/j.cub.2020.09.075.

Conelea CA, Jacob S, Redish AD, Ramsay IS. Considerations for Pairing Cognitive Behavioral Therapies and Non-invasive Brain Stimulation: Ignore at Your Own Risk. Front Psychiatry. 2021 Apr 12;12:660180. doi: 10.3389/fpsyt.2021.660180.

Cunningham PJ, Regier PS, Redish AD. Dorsolateral Striatal Task-initiation Bursts Represent Past Experiences More than Future Action Plans. J Neurosci. 2021 Sep 22;41(38):8051-8064. doi: 10.1523/JNEUROSCI.3080-20.2021.

Duin AA, Aman L, Schmidt B, Redish AD. Certainty and uncertainty of the future changes planning and sunk costs. Behav Neurosci. 2021 Aug;135(4):469-486. doi: 10.1037/bne0000460.

Hunt LT, Daw ND, Kaanders P, MacIver MA, Mugan U, Procyk E, Redish AD, Russo E, Scholl J, Stachenfeld K, Wilson CRE, Kolling N. Formalizing planning and information search in naturalistic decision-making. Nat Neurosci. 2021 Aug;24(8):1051-1064. doi: 10.1038/s41593-021-00866-w.

Kalhan S, Redish AD, Hester R, Garrido MI. A salience misattribution model for addictive-like behaviors. Neurosci Biobehav Rev. 2021 Jun;125:466-477. doi: 10.1016/j.neubiorev.2021.02.039.

Kazinka R, MacDonald AW 3rd, Redish AD. Sensitivity to Sunk Costs Depends on Attention to the Delay. Front Psychol. 2021 Feb 22;12:604843. doi: 10.3389/fpsyg.2021.604843.

McLaughlin AE, Diehl GW, Redish AD. Potential roles of the rodent medial prefrontal cortex in conflict resolution between multiple decision-making systems. Int Rev Neurobiol. 2021;158:249-281. doi: 10.1016/bs.irn.2020.11.009.

Schmidt B, Redish AD. Disrupting the medial prefrontal cortex with designer receptors exclusively activated by designer drug alters hippocampal sharp-wave ripples and their associated cognitive processes. Hippocampus. 2021 Oct;31(10):1051-1067. doi: 10.1002/hipo.23367.

Hasz BM, Redish AD. Spatial encoding in dorsomedial prefrontal cortex and hippocampus is related during deliberation. Hippocampus. 2020 Nov;30(11):1194-1208. doi: 10.1002/hipo.23250.

Kummerfeld E, Ma S, Blackman RK, DeNicola AL, Redish AD, Vinogradov S, Crowe DA, Chafee MV. Cognitive Control Errors in Nonhuman Primates Resembling Those in Schizophrenia Reflect Opposing Effects of NMDA Receptor Blockade on Causal Interactions Between Cells and Circuits in Prefrontal and Parietal Cortices. Biol Psychiatry Cogn Neurosci Neuroimaging. 2020 Jul;5(7):705-714. doi: 10.1016/j.bpsc.2020.02.013.

Hasz BM, Redish AD. Dorsomedial prefrontal cortex and hippocampus represent strategic context even while simultaneously changing representation throughout a task session. Neurobiol Learn Mem. 2020 May;171:107215. doi: 10.1016/j.nlm.2020.107215.

Redish AD. Beyond replay: Introduction to the special issue on hippocampal replay. Hippocampus. 2020 Jan;30(1):3-5. doi: 10.1002/hipo.23184.

Abram, SV, Hanke, M, Redish, AD & MacDonald, AW 2019, 'Neural signatures underlying deliberation in human foraging decisions', Cognitive, Affective and Behavioral Neuroscience, vol. 19, no. 6, pp. 1492-1508. https://doi.org/10.3758/s13415-019-00733-z

Walters, CJ, Jubran, J, Sheehan, A, Erickson, MT & Redish, AD 2019, 'Avoid-approach conflict behaviors differentially affected by anxiolytics: implications for a computational model of risky decision-making', Psychopharmacology, vol. 236, no. 8, pp. 2513-2525. https://doi.org/10.1007/s00213-019-05197-0

Schmidt, B, Duin, AA & Redish, D 2019, 'Disrupting the medial prefrontal cortex alters hippocampal sequences during deliberative decision making', Journal of neurophysiology, vol. 121, no. 6, pp. 1981-2000. https://doi.org/10.1152/jn.00793.2018

Abram, SV, Redish, D, A & MacDonald, AW 2019, 'Learning from loss after risk: Dissociating reward pursuit and reward valuation in a naturalistic foraging task', Frontiers in Psychiatry, vol. 10, no. MAY, 359. https://doi.org/10.3389/fpsyt.2019.00359

Redish, D, Kazinka, R & Herman, AB 2019, 'Taking an engineer's view: Implications of network analysis for computational psychiatry' Behavioral and Brain Sciences, vol. 42, e24. https://doi.org/10.1017/S0140525X18001152

Walters, CJ, Jubran, J, Sheehan, A, Erickson, MT & Redish, D 2019, 'Avoid-approach conflict behaviors differentially affected by anxiolytics: implications for a computational model of risky decision-making' Psychopharmacology. https://doi.org/10.1007/s00213-019-05197-0

Sweis, BM, Redish, D & Thomas, MJ 2018, 'Prolonged abstinence from cocaine or morphine disrupts separable valuations during decision conflict' Nature Communications, vol. 9, no. 1, 2521. https://doi.org/10.1038/s41467-018-04967-2

Sweis, BM, Thomas, MJ & Redish, D 2018, 'Beyond simple tests of value: Measuring addiction as a heterogeneous disease of computation-specific valuation processes' Learning and Memory, vol. 25, no. 9, pp. 501-512. https://doi.org/10.1101/lm.047795.118

Hasz, BM & Redish, D 2018, 'Deliberation and procedural automation on a two-step task for rats' Frontiers in Integrative Neuroscience, vol. 12, 30. https://doi.org/10.3389/fnint.2018.00030

Sweis, BM, Abram, SV, Schmidt, BJ, Seeland, KD, MacDonald, A, Thomas, MJ & Redish, D 2018, 'Sensitivity to “sunk costs” in mice, rats, and humans' Science, vol. 361, no. 6398, pp. 178-181. https://doi.org/10.1126/science.aar8644



NSCI 3100: Mind and Brain (Spring semester)


In The News