Many foraging experiments have found that subjects are suboptimal in foraging tasks, waiting out delays longer than they should given the reward structure of the environment. Additionally, theories of decision-making suggest that actions arise from interactions between multiple decision-making systems and that these systems should depend on the availability of information about the future. To explore suboptimal behavior on foraging tasks and how varying the amount of future information changed behavior, we ran rats on two matching neuroeconomic foraging tasks, Known Delay (KD) and Randomized Delay (RD), with the only difference between them being the certainty of the cost of future opportunities. Rats' decision-making strategies differed significantly based on the amount of future certainty. Rats on both tasks still showed suboptimality in decision-making through a sensitivity to sunk costs; however, rats on KD showed significantly less sensitivity to sunk costs than rats on RD. Additionally, on neither task did the rats account for travel and postreward lingering times as heavily as prereward foraging times providing evidence problematic for the Marginal Value Theorem model of foraging behavior. This suggests that while future certainty reduced decision-making errors, more complex decision-making processes unaffected by future certainty were involved and likely produced these decision-making errors within subjects on these foraging tasks. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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http://dx.doi.org/10.1037/bne0000460 | DOI Listing |
J Neurosci
January 2025
Department of Psychology, McGill University, Montreal, QC, Canada.
Individuals avoid spending cognitive effort unless expected rewards offset the perceived costs. Recent work employing tasks that provide explicit information about demands and incentives, suggests causal involvement of the Frontopolar Cortex (FPC) in effort-based decision-making. Using transcranial direct current stimulation (tDCS), we examined whether the FPC's role in motivating effort generalizes to sequential choice problems in which task demand and reward rates vary indirectly and as a function of experience.
View Article and Find Full Text PDFBehav Res Methods
January 2025
Department Neurophysics, Philipps-Universität Marburg, Fachbereich Physik, AG Neurophysik, Karl-Von-Frisch-Straße 8a, 35043, Marburg, Lahnberge, Germany.
The analysis of eye movements is a noninvasive, reliable and fast method to detect and quantify brain (dys)function. Here, we investigated the performance of two novel eye-trackers-the Thomas Oculus Motus-research mobile (TOM-rm) and the TOM-research stationary (TOM-rs)-and compared them with the performance of a well-established video-based eye-tracker, i.e.
View Article and Find Full Text PDFData Brief
December 2024
Department of Neurophysics, Philipps University Marburg, Karl-von-Frisch Straße 8a, 35043 Marburg, Hesse, Germany.
We present a comprehensive dataset comprising head- and eye-centred video recordings from human participants performing a search task in a variety of Virtual Reality (VR) environments. Using a VR motion platform, participants navigated these environments freely while their eye movements and positional data were captured and stored in CSV format. The dataset spans six distinct environments, including one specifically for calibrating the motion platform, and provides a cumulative playtime of over 10 h for both head- and eye-centred perspectives.
View Article and Find Full Text PDFCurr Top Behav Neurosci
December 2024
Laureate Institute for Brain Research, Tulsa, OK, USA.
The drive to seek information through exploratory behavior is widespread in both humans and other animals. This can be adaptive in reducing uncertainty about the best course of action within novel or changing environments. However, exploratory behaviors can also become maladaptive if subjective uncertainty levels remain too high or too low, as may happen in states of elevated anxiety.
View Article and Find Full Text PDFBiosystems
January 2025
Division of Industrial Mathematics, National Institute for Mathematical Sciences Daejeon, 34047, Republic of Korea.
Subterranean termites build complex underground tunnel networks to efficiently gather food. Empirical observations indicate specific individuals are dedicated to tunneling, rarely interchanging tasks. However, considering the limited tunneling energy of termite populations, it is reasonable to expect regular task shifts between fatigued and rested individuals to maintain continuous tunneling and optimize foraging.
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