COMING SOON: Changing how we choose: The new science of morality.
A new book on the “new science of morality” that will change how we see each other, how we build our communities, and how we live our lives.
Drawing on new insights from behavioral economics, sociology, and neuroscience, I argue that moral codes are technologies, that there really is a “new science of morality”, and that this new science has implications—both for how we understand ourselves and how we understand and design the societies we live in.
A. D. Redish (2022) Changing How We Choose: The New Science of Morality.
A new preprint on medial prefrontal cortex and Restaurant Row:
- G. W. Diehl, A. D. Redish (2022) Differential processing of decision information in subregions of rodent medial prefrontal cortex. bioRxiv. Unreviewed preprint.
We've updated our preprint on theoretical neuroscience.
- 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 (2022) On the role of theory and modeling in neuroscience. arXiv. Updated unreviewed preprint.
Three new papers on computational psychiatry!
- S. Vinogradov, A. A. Hamid, A. D. Redish (2022). Etiopathogenic models of psychosis spectrum illnesses must resolve four key features. Biological Psychiatry.
- 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
- 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.
About the lab
Exploring the information processing that underlies decision-making, with the goals of (1) furthering our understanding of how multiple decision-making (learning and memory) systems interact to produce behavior, and then (2) applying the theories that arise from the neurophysiology and computational modeling to explain dysfunctional and broken behavioral-control systems.
Link to the RedishLab Faculty Advising Statement.