Literature DB >> 34606493

Choice history effects in mice and humans improve reward harvesting efficiency.

Junior Samuel López-Yépez1,2, Juliane Martin2, Oliver Hulme3,4, Duda Kvitsiani2.   

Abstract

Choice history effects describe how future choices depend on the history of past choices. In experimental tasks this is typically framed as a bias because it often diminishes the experienced reward rates. However, in natural habitats, choices made in the past constrain choices that can be made in the future. For foraging animals, the probability of earning a reward in a given patch depends on the degree to which the animals have exploited the patch in the past. One problem with many experimental tasks that show choice history effects is that such tasks artificially decouple choice history from its consequences on reward availability over time. To circumvent this, we use a variable interval (VI) reward schedule that reinstates a more natural contingency between past choices and future reward availability. By examining the behavior of optimal agents in the VI task we discover that choice history effects observed in animals serve to maximize reward harvesting efficiency. We further distil the function of choice history effects by manipulating first- and second-order statistics of the environment. We find that choice history effects primarily reflect the growth rate of the reward probability of the unchosen option, whereas reward history effects primarily reflect environmental volatility. Based on observed choice history effects in animals, we develop a reinforcement learning model that explicitly incorporates choice history over multiple time scales into the decision process, and we assess its predictive adequacy in accounting for the associated behavior. We show that this new variant, known as the double trace model, has a higher performance in predicting choice data, and shows near optimal reward harvesting efficiency in simulated environments. These results suggests that choice history effects may be adaptive for natural contingencies between consumption and reward availability. This concept lends credence to a normative account of choice history effects that extends beyond its description as a bias.

Entities:  

Mesh:

Year:  2021        PMID: 34606493      PMCID: PMC8516315          DOI: 10.1371/journal.pcbi.1009452

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  55 in total

1.  Serial Dependence in Perceptual Decisions Is Reflected in Activity Patterns in Primary Visual Cortex.

Authors:  Elexa St John-Saaltink; Peter Kok; Hakwan C Lau; Floris P de Lange
Journal:  J Neurosci       Date:  2016-06-08       Impact factor: 6.167

2.  Subjective costs drive overly patient foraging strategies in rats on an intertemporal foraging task.

Authors:  Andrew M Wikenheiser; David W Stephens; A David Redish
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-29       Impact factor: 11.205

3.  Causal Model Comparison Shows That Human Representation Learning Is Not Bayesian.

Authors:  Andra Geana; Yael Niv
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2015-05-05

4.  Theoretical implications of quantitative properties of interval timing and probability estimation in mouse and rat.

Authors:  Aaron Kheifets; David Freestone; C R Gallistel
Journal:  J Exp Anal Behav       Date:  2017-06-27       Impact factor: 2.468

5.  Posterior parietal cortex represents sensory history and mediates its effects on behaviour.

Authors:  Athena Akrami; Charles D Kopec; Mathew E Diamond; Carlos D Brody
Journal:  Nature       Date:  2018-02-07       Impact factor: 49.962

6.  The detection of visual contrast in the behaving mouse.

Authors:  Laura Busse; Asli Ayaz; Neel T Dhruv; Steffen Katzner; Aman B Saleem; Marieke L Schölvinck; Andrew D Zaharia; Matteo Carandini
Journal:  J Neurosci       Date:  2011-08-03       Impact factor: 6.167

7.  Activity of Prefrontal Neurons Predict Future Choices during Gambling.

Authors:  Johannes Passecker; Nace Mikus; Hugo Malagon-Vina; Philip Anner; Jordane Dimidschstein; Gordon Fishell; Georg Dorffner; Thomas Klausberger
Journal:  Neuron       Date:  2018-12-06       Impact factor: 18.688

8.  Post-error recruitment of frontal sensory cortical projections promotes attention in mice.

Authors:  Kevin J Norman; Justin S Riceberg; Hiroyuki Koike; Julia Bateh; Sarah E McCraney; Keaven Caro; Daisuke Kato; Ana Liang; Kazuhiko Yamamuro; Meghan E Flanigan; Korey Kam; Elisa N Falk; Daniel M Brady; Christina Cho; Masato Sadahiro; Kohei Yoshitake; Priscilla Maccario; Michael P Demars; Leah Waltrip; Andrew W Varga; Scott J Russo; Mark G Baxter; Matthew L Shapiro; Peter H Rudebeck; Hirofumi Morishita
Journal:  Neuron       Date:  2021-02-19       Impact factor: 18.688

9.  History-based action selection bias in posterior parietal cortex.

Authors:  Eun Jung Hwang; Jeffrey E Dahlen; Madan Mukundan; Takaki Komiyama
Journal:  Nat Commun       Date:  2017-11-01       Impact factor: 14.919

10.  Global reward state affects learning and activity in raphe nucleus and anterior insula in monkeys.

Authors:  Marco K Wittmann; Elsa Fouragnan; Davide Folloni; Miriam C Klein-Flügge; Bolton K H Chau; Mehdi Khamassi; Matthew F S Rushworth
Journal:  Nat Commun       Date:  2020-07-28       Impact factor: 14.919

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