Joni Wallis

Joni Wallis is a cognitive neurophysiologist and Professor in the Department of Psychology at the University of California, Berkeley.[1]

Joni Wallis
Born
Jonathan David Wallis
Alma materUniversity of Manchester (BSc)
University of Cambridge (PhD)
Scientific career
FieldsCognitive neuroscience
Neurophysiology
Decision making
Reinforcement learning[1]
InstitutionsUniversity of California, Berkeley
ThesisFunctions of the orbital and medial prefrontal cortex of the common marmoset (Callithrix jacchus) (2000)
Doctoral advisorAngela Roberts
Other academic advisorsEarl K. Miller
Websitewallislab.org

Education and early career

Wallis received her Bachelors of Science in Psychology and Neuroscience from the University of Manchester in 1995. She received her PhD in Experimental Psychology and Anatomy from the University of Cambridge, where she worked in the laboratory of Angela Roberts.[2][3]

Career and research

Wallis moved to the United States for her postdoctoral research fellowship in the laboratory of Earl K. Miller studying neuronal activity in the prefrontal cortex,[4] or the region of the brain that plays a key role in executive functions, which allow animals to coordinate appropriate responses to plan, reason, problem solve, and effectively reach goals.[5][6] There, she explored the neural basis of how the prefrontal cortex encodes abstract rules to inform decisions under different circumstances.[7][8]

Wallis's research centers on understanding how the frontal cortex of the brain is functionally organized to help people set and attain goals at the level of single neurons. Decision making requires weighing the costs and benefits of different courses of action. Wallis's group has investigated how cost-benefit analysis is undertaken in the brain to make effective decisions by monitoring single neuronal activity.[9] They trained monkeys to make decisions that required integrating reward that required a certain amount of effort cost or a certain amount of delay cost. They found that single prefrontal cortex neurons played a role in encoding the type of cost decision the monkeys faced. The finding built on Wallis's previous work that found individual neurons in this region encoded several decision attributes, such as the probability of reward, the magnitude of the reward, and how much effort that reward would require.[10][11] Her research group also found that neurons involved in associating stimuli with certain rewarding outcomes are found in the orbitofrontal cortex, while neurons involved in associating actions with certain rewarding outcomes are found in the anterior cingulate cortex.[12]

Wallis's group has also studied the dynamics of decision making in both humans and monkeys over the period of time over which they are making a particular decision.[13] Using primate neurophysiology and human magnetoencephalography, they measured how brain activity changed as primates and humans were making different decisions. Their findings were consistent with a mathematical model of decision making, drawing connections between economic models of choice and the underlying neuroscience. In a different study, Wallis's group was able to deduce neuronal signatures as the brains of monkeys evaluate different choices, tracking the dynamics of neurons firing over time and space in the orbitofrontal cortex of the brain.[14] When considering two options, the group of neurons associated with each of the two options would alternate firing, flipping back and forth between the two options before finally deciding.

Her research is currently supported by two Research Project Grants (R01) awarded by the National Institute of Mental Health — one for the Functional Architecture of the Oribitofrontal Cortex awarded in 2014 and the other for the Frontostriatal Rhythms Underlying Reinforcement Learning awarded in 2018.[15][16] The ultimate goal of her group's work is to better understand how to develop treatments for mental illness. She was first drawn to the field after her PhD supervisor introduced her to patients who sustained damage to their orbitofrontal cortex and had difficulty making decisions, despite having other cognitive processes intact.[17]

gollark: At your shop or GMart?
gollark: Don't be crazy.
gollark: Needs more java.
gollark: J A V A
gollark: Shame my relay doesn't work any more.

References
  1. Joni Wallis publications indexed by Google Scholar
  2. Wallis, Jonathan David (2000). Functions of the orbital and medial prefrontal cortex of the common marmoset (Callithrix jacchus). jisc.ac.uk (PhD thesis). OCLC 894597346. EThOS uk.bl.ethos.621700.
  3. Roberts, Angela C.; Wallis, Jonathan D. (2000). "Inhibitory Control and Affective Processing in the Prefrontal Cortex: Neuropsychological Studies in the Common Marmoset". Cerebral Cortex. 10 (3): 252–262. doi:10.1093/cercor/10.3.252. ISSN 1460-2199. PMID 10731220.
  4. Wallis, Jonathan D.; Miller, Earl K. (2003). "Neuronal activity in primate dorsolateral and orbital prefrontal cortex during performance of a reward preference task". European Journal of Neuroscience. 18 (7): 2069–2081. doi:10.1046/j.1460-9568.2003.02922.x. ISSN 0953-816X. PMID 14622240.
  5. Miller, Earl K.; Wallis, J. D. (2013), "The Prefrontal Cortex and Executive Brain Functions", Fundamental Neuroscience, Elsevier, pp. 1069–1089, doi:10.1016/b978-0-12-385870-2.00050-0, ISBN 9780123858702
  6. Miller, Earl K; Freedman, David J; Wallis, J. D. (2002). "The prefrontal cortex: categories, concepts and cognition". Philosophical Transactions of the Royal Society B: Biological Sciences. 357 (1424): 1123–1136. doi:10.1098/rstb.2002.1099. ISSN 0962-8436. PMC 1693009. PMID 12217179.
  7. Wallis, J. D.; Anderson, Kathleen D.; Miller, Earl K. (June 21, 2001). "Single neurons in prefrontal cortex encode abstract rules" (PDF). Nature. 411 (6840): 953–956. doi:10.1038/35082081. PMID 11418860.
  8. Wallis, J. D.; Miller, Earl K. (2003). "From rule to response: neuronal processes in the premotor and prefrontal cortex". Journal of Neurophysiology. 90 (3): 1790–1806. doi:10.1152/jn.00086.2003. ISSN 0022-3077. PMID 12736235.
  9. Hosokawa, Takayuki; Kennerley, Steven W.; Sloan, Jennifer; Wallis, Jonathan D. (2013). "Single-Neuron Mechanisms Underlying Cost-Benefit Analysis in Frontal Cortex". Journal of Neuroscience. 33 (44): 17385–17397. doi:10.1523/JNEUROSCI.2221-13.2013. ISSN 0270-6474. PMC 3812506. PMID 24174671.
  10. Kennerley, Steven W.; Dahmubed, Aspandiar F.; Lara, Antonio H.; Wallis, Jonathan D. (2009). "Neurons in the frontal lobe encode the value of multiple decision variables". Journal of Cognitive Neuroscience. 21 (6): 1162–1178. doi:10.1162/jocn.2009.21100. ISSN 0898-929X. PMC 2715848. PMID 18752411.
  11. Wallis, Jonathan D.; Kennerley, Steven W. (April 2010). "Heterogeneous reward signals in prefrontal cortex". Current Opinion in Neurobiology. 20 (2): 191–198. doi:10.1016/j.conb.2010.02.009. ISSN 0959-4388. PMC 2862852. PMID 20303739.
  12. Luk, Chung-Hay; Wallis, Jonathan D. (2013-01-30). "Choice Coding in Frontal Cortex during Stimulus-Guided or Action-Guided Decision-Making". Journal of Neuroscience. 33 (5): 1864–1871. doi:10.1523/JNEUROSCI.4920-12.2013. ISSN 0270-6474. PMC 3711610. PMID 23365226.
  13. Hunt, Laurence T; Behrens, Timothy EJ; Hosokawa, Takayuki; Wallis, Jonathan D; Kennerley, Steven W (2015). "Capturing the temporal evolution of choice across prefrontal cortex". eLife. 4. doi:10.7554/eLife.11945. ISSN 2050-084X. PMC 4718814. PMID 26653139.
  14. Rich, Erin L.; Wallis, Jonathan D. (2016). "Decoding subjective decisions from orbitofrontal cortex". Nature Neuroscience. 19 (7): 973–980. doi:10.1038/nn.4320. ISSN 1546-1726. PMC 4925198. PMID 27273768.
  15. Wallis, Joni D. "Project Information - NIH RePORTER - NIH Research Portfolio Online Reporting Tools Expenditures and Results". projectreporter.nih.gov. Retrieved 2018-09-09.
  16. Wallis, Joni D. "Project Information - NIH RePORTER - NIH Research Portfolio Online Reporting Tools Expenditures and Results". projectreporter.nih.gov. Retrieved 2018-09-09.
  17. Cayetano Jr., Reynaldo (2016-11-12). "Neuroscientist Portrait Project: Dr. Joni Wallis". neuroscience.berkeley.edu. Berkeley Neuroscience. Retrieved 2018-08-18.
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