Qualitative Invariant Effects Arise from Neural Constraints: Common Architecture and Sources of Individual Differences

Andrea Stocco

doi:10.5334/joc.175

Abstract

The distinction between qualitative and quantitative effects can be meaningfully related to the distinction between “architecture” and “model” in computational cognitive science. In turn, this distinction can be related to differences between the invariant systems-level organization of the human brain and individual differences in structural and functional activity. Taken together, this presents an iterative new way to answer Newell’s “20 Questions” problem and to systematize psychological effects as belonging to either architecture or the individual variations within it. Although some limits to this approach exist (for example, Individual differences in strategy might affect whether an effect is qualitative or quantitative), the approach might also shed light on how to account for special populations (neurological or psychological patients) within the same framework.

References

Collins, A. G. E. (2018). The Tortoise and the Hare: Interactions between Reinforcement Learning and Working Memory. Journal of Cognitive Neuroscience, 30(10), 1422–1432. DOI: 10.1162/jocn_a_01238
Open DOI Search in Google Scholar Back to article
Corkin, S. (2002). What’s new with the amnesic patient HM? Nature reviews neuroscience, 3(2), 153–160. DOI: 10.1038/nrn726
Open DOI Search in Google Scholar Back to article
Laird, J. E., Lebiere, C., & Rosenbloom, P. S. (2017). A Standard Model of the Mind: Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics. AI Magazine, 38(4). DOI: 10.1609/aimag.v38i4.2744
Open DOI Search in Google Scholar Back to article
Myers, C. E., Moustafa, A. A., Sheynin, J., VanMeenen, K. M., Gilbertson, M. W., Orr, S. P., … & Servatius, R. J. (2013). Learning to obtain reward, but not avoid punishment, is affected by presence of PTSD symptoms in male veterans: empirical data and computational model. PLoS One, 8(8), e72508. DOI: 10.1371/journal.pone.0072508
Open DOI Search in Google Scholar Back to article
Newell, A. (1973). You can’t play 20 questions with nature and win: Projective comments on the papers of this symposium. In W. G. Chase (Ed.), Visual information processing (pp. 283–308). Academic Press. DOI: 10.1016/B978-0-12-170150-5.50012-3
Open DOI Search in Google Scholar Back to article
Sense, F., Behrens, F., Meijer, R. R., & van Rijn, H. (2016). An individual’s rate of forgetting is stable over time but differs across materials. Topics in Cognitive Science, 8(1), 305–321. DDOI: 10.1111/tops.12183
Open DOI Search in Google Scholar Back to article
Smith, B. M., Chiu, M., Yang, Y., Sibert, C., & Stocco, A. (in press). When fear shrinks the brain: A computational model of the effects of post-traumatic stress on hippocampal volume. Topics in Cognitive Science.
Search in Google Scholar Back to article
Stocco, A., Sibert, C., Steine-Hanson, Z., Koh, N., Laird, J. E., Lebiere, C. J., & Rosenbloom, P. (2021). Analysis of the human connectome data supports the notion of a “Common Model of Cognition” for human and human-like intelligence across domains. NeuroImage, 235, 118035. DOI: 10.1016/j.neuroimage.2021.118035
Open DOI Search in Google Scholar Back to article
White, C. N., Congdon, E., Mumford, J. A., Karlsgodt, K. H., Sabb, F. W., Freimer, N. B., London, E. D., Cannon, T. D., Bilder, R. M., & Poldrack, R. A. (2014). Decomposing decision components in the stop-signal task: a model-based approach to individual differences in inhibitory control. Journal of Cognitive Neuroscience, 26(8), 1601–1614. DOI: 10.1162/jocn_a_00567
Open DOI Search in Google Scholar Back to article
Zhou, P., Sense, F., Van Rijn, H., & Stocco, A. (2021). Reflections of idiographic long-term memory characteristics in resting-state neuroimaging data. Cognition, 212, 104660. DOI: 10.1016/j.cognition.2021.104660
Open DOI Search in Google Scholar Back to article

Qualitative Invariant Effects Arise from Neural Constraints: Common Architecture and Sources of Individual Differences

Abstract

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