Search bioRxiv⌕ Search

bioRxiv · 10.1101/245092

Controlling for temporal discounting shifts rats from geometric to human-like arithmetic bisection

Abstract

How our brains measure the passage of time is still largely open for debate. One behavioral task commonly used to study how durations are perceived is the Temporal Bisection Task, in which subjects categorize time durations as either \"short\" or \"long.\" The duration equally likely to be categorized as short or long is known as the bisection point. It has been consistently demonstrated that for humans, the bisection point is near the arithmetic mean of the longest and shortest durations the subject was trained on. In contrast, for non-human subjects it has been consistently found near the geometric mean. This difference implies that humans may process or represent temporal durations differently than other species. Here we present a behavioral model that reconciles the differences by demonstrating that rats performance on this task is driven not only by their noisy estimates of duration, but also by the temporally-discounted value of future rewards. The model correctly predicts shifts in the bisection point induced by unequal rewards and explains otherwise-paradoxical psychometric reversals documented three decades ago. Furthermore, as predicted by the model, we found that modifying the Temporal Bisection Task to eliminate the temporally-discounted reward component shifted the rats bisection point from the geometric mean to the arithmetic mean, thus bringing the rat results into line with the human results. We therefore propose that humans and rats (and perhaps other non-human subjects as well) process temporal information similarly, and that the difference between them in the Temporal Bisection Task may be simply due to rats weighing temporal discounting of future rewards more strongly than humans.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Kopec, C. D., Brody, C. D.. 2018-01-08. Controlling for temporal discounting shifts rats from geometric to human-like arithmetic bisection. https://doi.org/10.1101/245092

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Development of the Highly Sensitive Horse questionnaire to assess horses' sensory processing sensitivity

It is well established that individuals vary in how they respond to situations, but might they also perceive their environment differently? Sensory Processing Sensitivity (SPS) is a multidimensional trait describing individual variation in the perception and response to sensory, emotional, and social stimuli. While extensively studied in humans, its presence in animals remains underexplored. We investigated whether horses might exhibit a comparable trait and developed the Highly Sensitive Horse questionnaire to assess equine SPS. A 104-item questionnaire was developed and refined using data from an online survey of 121 horses. The remaining 45 items were evaluated in an independent survey of 561 horses. Exploratory and confirmatory factor analyses identified a robust two-factor, 12-item structure reflecting dimensions similar to the human SPS dimensions of: Overstimulation, describing a tendency to become overwhelmed by intense or prolonged stimuli, and Sensitivity to subtleties, describing heightened perception of subtle environmental changes. The scale showed high internal consistency, excellent intra-rater and moderate inter-rater reliability. Although eSPS was associated with established behavioural traits, including fearfulness, it also explained unique behavioural variation beyond these traits. These findings suggest that horses differ in how they perceive their environment, providing a foundation to better understand equine behaviour, and opening new avenues for comparative sensory-processing research.

animal behavior and cognition↗

Behavioral divergence across replicated predation regimes is species-specific in two sympatric poeciliid fishes

Predation is a potent driver of behavioral divergence across prey populations, yet whether shared predation regimes generate similar responses in coexisting prey species remains unclear. Species differences in reproductive and foraging traits may alter vulnerability to predators, generating species-specific responses. We compared behavior and cognition of two poeciliid fishes (Gambusia affinis and Poecilia latipinna) that differ in body size, the presence of male ornamentation, and mating tactics. We sampled both species across replicate high- and low-predation regimes and measured exploration, shyness, boldness, social motivation, and detour solve latency (N = 509). Multivariate behavior and cognition differed between predation regimes, and the magnitude of divergence varied with species but not body size. Consistent with the multivariate pattern, the more conspicuous P. latipinna exhibited higher boldness and overall lower exploration under high-predation, while high- and low-predation populations of G. affinis did not differ. These findings suggest either that the more conspicuous species experiences greater predation risk or that the less conspicuous species reduces its predation risk through alternative phenotypic responses. More broadly, species differences in reproductive phenotypes associated with sexual selection may help explain why shared predation regimes generate variable patterns of behavioral divergence across taxa.

animal behavior and cognition↗

Capturing the rhythm: methodological choices shape inference from circadian activity data

Abstract 1. Statistical tools and analytical decisions for analysing animal activity data are often limited and poorly justified, particularly with respect to model choice, sampling design and temporal aggregation. These shortcomings can constrain our ability to draw accurate and biologically meaningful inferences about behaviour. 2. We interrogated 24 h activity data taken from individual males and females derived from five Drosophila melanogaster populations to generate a general framework for collecting and analysing activity data that systematically compares common model classes, continuous verses fragmented sampling strategies, and alternative temporal aggregation choices (time-bin sizes). 3. Our analyses identified generalised additive mixed models (GAMMs) applied to high-frequency continuous data with small-moderate bin sizes (1-5 minutes) as providing the most robust and interpretable inference for our complex, high-frequency activity data. 4. However, our interrogation of the data set confirmed that analytical and sampling decisions need to be tailored to the study species, the timing of activities and the nature of the behaviour of interest. Accordingly, polynomial and cosinor generalised linear models, increased but biologically targeted snapshot sampling, and bin sizes smaller than one hour yielded adequate analyses with similar biological conclusions when appropriately matched to the system. 5. Our approach provides an accessible decision-making framework for activity analyses that allows researchers across behavioural, ecological and evolutionary studies to justify and optimise choices about data collection and modelling. Such an approach improves the biological relevance of inference and supporting the use of modern tracking and analytical technologies.

animal behavior and cognition↗