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Pendleton Read Montague, Jr.
Born1960 (age 63–64)
Education Auburn University
University of Alabama at Birmingham
Known for Temporal difference learning
Parents
  • Pendleton Read Montague, Sr. [1] (father)
  • Ann Montague (mother)
Scientific career
Fields Neuroscience
Institutions Baylor College of Medicine
Virginia Tech
University College London
Thesis An application of fractal sets to the analysis of neuritic patterns of cultured cat retinal ganglion cells (1988)
Doctoral advisorMichael Friedlander
Other academic advisors Terry Sejnowski
Gerald Edelman
Doctoral students David Eagleman

Pendleton Read Montague, Jr. (born 1960) is an American neuroscientist and popular science author. He is the director of the Human Neuroimaging Lab and Computational Psychiatry Unit at the Fralin Biomedical Research Institute at VTC in Roanoke, Virginia, where he also holds the title of the inaugural Virginia Tech Carilion Vernon Mountcastle Research Professor. Montague is also a professor in the department of physics at Virginia Tech in Blacksburg, Virginia and professor of Psychiatry and Behavioral Medicine at Virginia Tech Carilion School of Medicine.

Education

In 1978 Montague graduated high school from The Lovett School in Atlanta, Georgia. From 1978–1979, Montague studied electrical engineering at Georgia Tech. He then continued his undergraduate education at Auburn University, graduating in 1983 with a bachelor's degree in mathematics. In 1988, he earned a Ph.D. in biophysics from the University of Alabama at Birmingham School of Medicine. He continued his training with a fellowship in theoretical neurobiology at The Neurosciences Institute at Rockefeller University. After completion of that fellowship, he completed another fellowship in the Computational Neurobiology Lab at The Salk Institute for Biological Studies.

Career

Montague is the director of the Center for Human Neuroscience Research, the Human Neuroimaging Lab, the Human Magnetometry Lab, and the Computational Psychiatry Unit at the Fralin Biomedical Research Institute in Roanoke, Virginia, where he also holds the title of the inaugural Virginia Tech Carilion Vernon Mountcastle Research Professor. Montague is also a professor in the department of physics at Virginia Tech in Blacksburg, Virginia, a professor of Psychiatry and Behavioral Medicine at Virginia Tech Carilion School of Medicine and holds an appointment as Honorary Professor at The Wellcome Trust Centre for Neuroimaging at University College London.

From 2011-2018, Montague was a Wellcome Trust Principal Research Fellow at The Wellcome Centre for Human Neuroimaging, University College London. Before moving to the Fralin Biomedical Research Institute, Montague was the Brown Foundation Professor of neuroscience at Baylor College of Medicine, founding director of the Human Neuroimaging Lab, and founding director in 2006 of the Computational Psychiatry Unit. He was also a professor in the Menninger Department of Psychiatry and Behavioral Sciences at Baylor College of Medicine.

Research

Montague’s work has long focused on computational neuroscience – the connection between physical mechanisms present in real neural tissue and the computational functions that these mechanisms embody. His early theoretical work focused on the hypothesis that dopaminergic systems encode a particular kind of computational process, a reward prediction error signal, similar to those used in areas of artificial intelligence like optimal control. This work, carried out in collaboration with Peter Dayan and Terry Sejnowski, focused on prediction as a guiding concept in terms of synaptic learning rules that would underlie learning, [2] [3] [4] [5] [6] valuation, [7] and choice. [8] This work proposed a modification to the then dominant idea of Hebbian or correlational learning. [2] In particular, it was shown that dopamine neurons and homologous octopaminergic neurons in bees display a reward prediction error signal exactly consonant with the temporal difference error signal [7] [6] familiar from models of conditioning proposed by Sutton and Barto during the 1980s.

In pursuit of testing these prediction error ideas in humans, Montague founded the Human Neuroimaging Lab at Baylor College of Medicine in Houston, Texas, and pursued functional neuroimaging experiments analogous to those used in other model species. This work tested the reward prediction error model in human subjects using simple conditioning experiments directly analogous to those used in rodents and non-human primates. [9] [10] [11] [12] [13] His group then tested the reward prediction error idea during an abstract task of social exchange between two interacting humans [14] and showed striatal BOLD signals that changed their timing consistent with a prediction error signal, but in the context of a social exchange. They also tested the idea of cultural brand identity and its impact on reward prediction error signals. [15] With Brooks King-Casas and colleagues, Montague later applied the same social exchange approach as a probe of Borderline Personality Disorder, [16] and these efforts have been used to provide a new probe of psychopathology. [17] [18] [19] [20]

Montague and colleagues have further investigated the computational nature of dopamine as well as serotonin signals by making the first measurements of sub-second dopamine and serotonin fluctuations in the striatum of conscious human subjects. [21] [22]

Popular science

Montague has written a nonfiction work aimed at lay audiences entitled Why Choose This Book?: How We Make Decisions. The book discusses with (mostly) non-technical language the neuroscience and psychology of decision making.

Montague also gave a TED Global Talk [23] in 2012 where he explained how functional MRI has opened a window on the neural basis of human social interaction and how such approaches may open a window on the neural basis of social disorders. He specifically spoke about how real-time imaging allows researchers to examine the complicated neural underpinnings of human interaction.

Awards and honors

Writings

  • Your Brain Is (Almost) Perfect: How We Make Decisions. New York: Plume, 2007. ISBN  978-0-452-28884-3, previously published as Why Choose This Book?: How We Make Decisions. New York: Penguin Group (USA) Inc. ISBN  0-525-94982-8

References

  1. ^ "Montague, Pendleton". The Atlanta Journal-Constitution. ISSN  1539-7459. Retrieved 27 November 2022.
  2. ^ a b Montague, PR; Dayan, P; Nowlan, SJ; Pouget, A; Sejnowski, TJ (1993). "Using Aperiodic Reinforcement for Directed Self-Organization During Development" (PDF). Advances in Neural Information Processing Systems. 5: 969–976.
  3. ^ Montague, PR; Dayan, P; Sejnowski, TJ (1994a). Foraging in an Uncertain Environment Using Predictive Hebbian Learning (PDF). Vol. 6. pp. 598–605.
  4. ^ Montague, PR; Sejnowski, TJ. (1994b). "The predictive brain: Temporal coincidence and temporal order in synaptic learning mechanisms" (PDF). Learning and Memory. 1 (1): 1–33. doi: 10.1101/lm.1.1.1. PMID  10467583. S2CID  44560099.
  5. ^ Montague, PR; Gancayco, CD; Winn, MJ; Marchase, RB; Friedlander, MJ. (18 February 1994). "Role of NO production in NMDA receptor-mediated neurotransmitter release in cerebral cortex" (PDF). Science. 263 (5149): 973–977. doi: 10.1126/science.7508638. ISSN  0036-8075. PMID  7508638.
  6. ^ a b Montague, PR; Dayan, P; Sejnowski, TJ. (1 March 1996). "A framework for mesencephalic dopamine systems based on predictive Hebbian learning" (PDF). The Journal of Neuroscience. 16 (5): 1936–1947. doi: 10.1523/JNEUROSCI.16-05-01936.1996. ISSN  0270-6474. PMC  6578666. PMID  8774460.
  7. ^ a b Montague, PR; Dayan, P; Person, C; Sejnowski, TJ. (26 October 1995). "Bee foraging in uncertain environments using predictive hebbian learning" (PDF). Nature. 377 (6551): 725–728. Bibcode: 1995Natur.377..725M. doi: 10.1038/377725a0. ISSN  0028-0836. PMID  7477260. S2CID  4324169.
  8. ^ Schultz, W; Dayan, P; Montague, PR. (14 March 1997). "A neural substrate of prediction and reward" (PDF). Science. 275 (5306): 1593–1599. CiteSeerX  10.1.1.133.6176. doi: 10.1126/science.275.5306.1593. ISSN  0036-8075. PMID  9054347. S2CID  220093382.
  9. ^ Berns, GS; McClure, SM; Pagnoni, G; Montague, PR. (15 April 2001). "Predictability modulates human brain response to reward" (PDF). The Journal of Neuroscience. 21 (8): 2793–2798. doi: 10.1523/JNEUROSCI.21-08-02793.2001. ISSN  1529-2401. PMC  6762527. PMID  11306631.
  10. ^ Montague, PR; Berns, GS. (10 October 2002). "Neural economics and the biological substrates of valuation" (PDF). Neuron. 36 (2): 265–284. doi: 10.1016/s0896-6273(02)00974-1. ISSN  0896-6273. PMID  12383781. S2CID  1814617.
  11. ^ McClure, SM; Daw, ND; Montague, PR. (1 August 2003). "A computational substrate for incentive salience" (PDF). Trends in Neurosciences. 26 (8): 423–428. doi: 10.1016/s0166-2236(03)00177-2. ISSN  0166-2236. PMID  12900173. S2CID  11701048.
  12. ^ McClure, SM; Berns, GS; Montague, PR. (24 April 2003). "Temporal prediction errors in a passive learning task activate human striatum" (PDF). Neuron. 38 (2): 339–346. doi: 10.1016/s0896-6273(03)00154-5. ISSN  0896-6273. PMID  12718866.
  13. ^ Braver, TS; Brown, JW. (2003). "Principles of Pleasure Prediction: Specifying the Neural Dynamics of Human Reward Learning" (PDF). Neuron. 38 (2): 150–152. doi: 10.1016/S0896-6273(03)00230-7. PMID  12718849. Retrieved 24 April 2003.
  14. ^ King-Casas, BB; Tomlin, D; Anen, C; Camerer, CF; Quartz, SR; Montague, PR. (1 April 2005). "Getting to Know You: Reputation and Trust in a Two-Person Economic Exchange" (PDF). Science. 308 (5718): 78–83. Bibcode: 2005Sci...308...78K. doi: 10.1126/science.1108062. ISSN  0036-8075. PMID  15802598. S2CID  8068031.
  15. ^ McClure, SM; Li, J; Tomlin, D; Cypert, KS; Montague, LM; Montague, PR. (14 October 2004). "Neural correlates of behavioral preference for culturally familiar drinks" (PDF). Neuron. 44 (2): 379–387. doi: 10.1016/j.neuron.2004.09.019. ISSN  0896-6273. PMID  15473974.
  16. ^ King-Casas, B; Sharp, C; Lomax-Bream, L; Lohrenz, T; Fonagy, P; Montague, PR. (8 August 2008). "The Rupture and Repair of Cooperation in Borderline Personality Disorder" (PDF). Science. 321 (5890): 806–810. Bibcode: 2008Sci...321..806K. doi: 10.1126/science.1156902. ISSN  0036-8075. PMC  4105006. PMID  18687957.
  17. ^ Chiu, PH; Lohrenz, TM; Montague, PR. (1 April 2008). "Smokers' brains compute, but ignore, a fictive error signal in a sequential investment task" (PDF). Nature Neuroscience. 11 (4): 514–520. doi: 10.1038/nn2067. ISSN  1097-6256. PMID  18311134. S2CID  205431662.
  18. ^ Chiu, PH; Kayali, MA; Kishida, KT; Tomlin, D; Klinger, LG; Klinger, MR; Montague, PR. (7 February 2008). "Self responses along cingulate cortex reveal quantitative neural phenotype for high-functioning autism" (PDF). Neuron. 57 (3): 463–473. doi: 10.1016/j.neuron.2007.12.020. ISSN  0896-6273. PMC  4512741. PMID  18255038.
  19. ^ Koshelev, M; Lohrenz, T; Vannucci, M; Montague, PR. (21 October 2010). "Biosensor approach to psychopathology classification" (PDF). PLOS Computational Biology. 6 (10): e1000966. Bibcode: 2010PLSCB...6E0966K. doi: 10.1371/journal.pcbi.1000966. ISSN  1553-7358. PMC  2958801. PMID  20975934.
  20. ^ Xiang, T; Ray, D; Lohrenz, T; Dayan, P; Montague, PR. (1 January 2012). "Computational phenotyping of two-person interactions reveals differential neural response to depth-of-thought" (PDF). PLOS Computational Biology. 8 (12): e1002841. Bibcode: 2012PLSCB...8E2841X. doi: 10.1371/journal.pcbi.1002841. ISSN  1553-7358. PMC  3531325. PMID  23300423.
  21. ^ Lohrenz, T; McCabe, K; Camerer, CF; Montague, PR. (29 May 2007). "Neural signature of fictive learning signals in a sequential investment task" (PDF). Proceedings of the National Academy of Sciences of the United States of America. 104 (22): 9493–9498. Bibcode: 2007PNAS..104.9493L. doi: 10.1073/pnas.0608842104. ISSN  0027-8424. PMC  1876162. PMID  17519340.
  22. ^ Lohrenz, T; Bhatt, M; Apple, N; Montague, PR. (1 October 2013). "Keeping up with the Joneses: interpersonal prediction errors and the correlation of behavior in a tandem sequential choice task" (PDF). PLOS Computational Biology. 9 (10): e1003275. Bibcode: 2013PLSCB...9E3275L. doi: 10.1371/journal.pcbi.1003275. ISSN  1553-7358. PMC  3812045. PMID  24204226.
  23. ^ Montague, Read (24 September 2012), What we're learning from 5,000 brains, retrieved 10 February 2021

External links