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Results for “animal behavior and cognition”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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bioRxiv2019

Sexual selection and the evolution of male and female cognition: a test using experimental evolution in seed beetles

\"The mating mind hypothesis\", originally aimed at explaining human cognition, holds that the socio-sexual environment shapes cognitive abilities among animals. Similarly, general sexual selection theory predicts that mate competition should benefit individuals carrying \"good genes\" with beneficial pleiotropic effects on general cognitive ability. However, few experimental studies have evaluated these related hypotheses due to difficulties of performing direct tests in most taxa. Here we harnessed the empirical potential of the seed beetle study system to investigate the role of sexual selection and mating system in the evolution of cognition. We evolved replicate lines of beetle under enforced monogamy (eliminating sexual selection) or polygamy for 35 generations and then challenged them to locate and discriminate among mating partners (male assays) or host seeds (female assays). To assess learning, the same beetles performed the task in three consecutive rounds. All lines learned the task, improving both within and between trails. Moreover, polygamous males outperformed monogamous males. However, there were no differences in the rate of learning between males of the two regimes, and polygamous females showed no improvement in host search, and even signs of reduced learning. Hence, while sexual selection was a potent factor that increased cognitive performance in mate search, it did not lead to the general increase in cognitive abilities expected under the \"mating mind\" hypothesis or general \"good genes\" theory. Our results highlight sexually antagonistic (balancing) selection as a potential force maintaining genetic variation in cognitive traits.

animal behavior and cognition↗

bioRxiv2021

Social experience alters different types of learning abilities controlled by distinct brain nuclei in Kryptolebias marmoratus

Fighting experiences strongly influence aggressive behavior and physiology (winner-loser effects). These effects are conserved from invertebrates to vertebrates, but the underlying mechanisms remain unclear. Recent studies indicate that the brain social decision-making network (SDN) plays a key role in guiding experience-induced behavioral change. Also, while most studies have focused on how winning and losing experiences alter aggression, growing evidence points to these experiences driving multiple behavioral effects, including changes in the ability to learn. In mangrove rivulus fish (Kryptolebias marmoratus), we discovered that single winning experiences significantly improved spatial learning but not risk-avoidance learning, whereas single losing experiences drove the exact opposite to occur. These results provide strong evidence that winning and losing modulate diverse behaviors served by key nodes within the SDN, specifically the dorsolateral pallium (Dl; fish homolog to mammalian hippocampus, which serves spatial learning) and dorsomedial pallium (Dm; fish homolog to mammalian basolateral amygdala, which responds to fear). We therefore quantified whole-proteome expression within the forebrain (where Dm and Dl are located) of adult rivulus with divergent social experiences. We discovered 23 proteins were significantly differentially expressed in the forebrains of winners and losers. Differentially expressed proteins in losers related to modulation of cellular processes, apoptosis and learning while those in winners related to neuronal plasticity, neuroendocrine homeostasis, energy utilization, and learning. These results imply that winner-loser effects might be governed by very different patterns of protein expression, which could explain why winners and losers show such pronounced differences in behavioral performance. Significance StatementSocial interactions permeate the daily lives of most animals and often result in changes in behavior for all parties. This implies that social experiences reorganize the brain in ways that promote the expression of alternative behaviors, or that help individuals cope with the outcome of such interactions. But how do aggressive interactions sculpt the brain at the molecular level? We used an emerging model organism, Kryptolebias marmoratus, to examine whether experiences modulate learning ability and then probe the potential neural mechanisms underlying these behavioral changes. We discovered that single winning and losing experiences dramatically altered spatial learning and risk-avoidance learning, respectively, indicating that winning and losing experiences have markedly different effects on the brain and cognitive processes. ClassificationBiological Sciences, Ecology

animal behavior and cognition↗

bioRxiv2018

Estradiol treatment in a nonhuman primate model of menopause preserves affective reactivity

As humans age, their affective lives tend to become more positive and less negative. This phenomenon, known as the positivity effect (or positivity bias), occurs even as aging leads to declines in health and cognitive outcomes. Despite these well documented effects in humans, extent to which affective processes change in nonhuman animals, and in particular nonhuman primates - is unclear. As a first step towards developing a model for human affective aging in rhesus monkeys (Macaca mulatta), we tested aged, surgically menopausal aged and middle-aged gonadally intact female rhesus monkeys on a classic index of affective reactivity in monkeys, the Human Intruder task. The Human Intruder task evaluates behavioral responses to varying levels of threat. Aged, surgically menopausal monkeys received hormone replacement therapy consisting of a cyclic estradiol regimen, or vehicle injections as a control. Average responsivity to threat did not vary by condition, but middle aged monkeys and aged monkeys on estradiol were more reactive to the most potent level of threat than to a moderate level of threat, replicating previously published results in other age groups and male monkeys. In contrast, aged monkeys not on estradiol did not show such calibration to threat level. These findings suggest that estrogen may be important for maintaining more youthful affective responding. They also illustrate the utility of behavioral assays of affective reactivity in nonhuman primate models of cognitive and reproductive aging in humans.

animal behavior and cognition↗

bioRxiv2026

Socio-cognitive models in a patch foraging setting: a case study for model selection and parameter identifiability methods

The mechanisms by which organisms extract relevant information from complex sensory signals and use it for decision-making constitute a fundamental issue in biological and cognitive sciences. In social animal societies, individual decision-making is profoundly shaped by information provided by conspecifics. Collective patch-foraging experiments in the laboratory provide a controlled setting in which social information use can be quantified. Here, we consider a go/no-go task in which groups choose between two patches differing in food reward probability. We use agent-based simulations, underpinned by an augmented collective drift-diffusion model, to investigate alternative mechanisms for representing and integrating social information. We consider two representations, continuous (counting representation) and discrete (pulsatile representation), and two integration mechanisms, biasing the decision threshold (threshold modulation) and modifying the accumulated belief (belief modulation), yielding four distinct social models, in addition to a non-interacting model. We first characterize the collective dynamics generated by these models across cognitive parameters and experimental conditions. The temporal dynamics of group accuracy provide informative signatures of the underlying mechanisms. We then assess model selection and parameter identifiability using Bayesian inference and Wasserstein distance minimization, applied to group-accuracy and departure-time distributions. Bayesian inference using distributions of group accuracy provides the most reliable identification across the conditions considered. Importantly, model selection and parameter identifiability are associated with different aspects of collective behavior: model selection is closely linked to the presence of oscillations in the temporal dynamics, whereas parameter identifiability is more closely related to the global accuracy value. Thus, the information available for distinguishing the underlying cognitive mechanisms is not necessarily the same as that required to recover their parameters. Our results further show that identification depends not only on model structure but also on the experimental conditions. Overall, this study provides practical guidelines for identifying socio-cognitive mechanisms in collective foraging experiments.

animal behavior and cognition↗

bioRxiv2022

Paired Associates Learning is Disrupted After Unilateral Parietal Lobe Controlled Cortical Impact in Rats: A Trial-by-Trial Behavioral Analysis

Approximately 60-70 million people suffer from a traumatic brain injury (TBI) each year. As animal models continue to be paramount in understanding and treating cognitive impairment following TBI, the necessity of testing intervention strategies in clinically relevant settings cannot be ignored. This study used a unilateral parietal lobe controlled cortical impact (CCI) model of TBI and tested rats on a touchscreen-based associative learning task, Paired Associates Learning (PAL). In humans, PAL has been used to assess cognitive deficits in stimulus-location association in a multitude of disease states, including TBI. To date, the extent to which a rat model of TBI produces deficits in PAL has not yet been reported, although the usage of PAL will be important for understanding the clinical consequences of cognitive impairment post-injury and throughout intervention treatment. This study details the behavioral and histological consequences of the CCI injury model and closes a translational research gap between basic and clinical TBI research. HIGHLIGHTSO_LIPAL performance declines in a rat model of TBI. C_LIO_LIResponse-driven bias in PAL becomes elevated after TBI. C_LIO_LIInflammatory microglial response in the thalamus correlates with PAL deficit. C_LI

animal behavior and cognition↗

bioRxiv2026

Personality Variation in Associative Learning and Memory Retention in Zebrafish (Danio rerio)

Animals differ in how they acquire and retain information, and modify their behavior while interacting with their environment. These differences have been linked to personality type, yet how personality type and sex influence reward-associated memory is not well understood. We investigated the effects of personality type, sex, days of conditioning, and food reward on learning and memory retention in zebrafish using the conditioned place preference paradigm. We conditioned zebrafish to associate a visual background with a food reward across eleven sessions and assessed memory recall seven days later by measuring duration, frequency of entry, and latency to first entry in the conditioned zone. We observed that bold fish had early conditioned zone engagement, whereas shy zebrafish gradually increased their behavior into the conditioned zone with repeated conditioning. With food reward, preference for the conditioned zone increased after 7 and 11 days post-conditioning relative to baseline. Seven days after the last conditioning with food reward, the preference for conditioned zone remained unchanged in shy fish. This suggests that shy fish retain the ability to recall the learned association for at least 7 days after conditioning. Overall, personality, food reward, and sex influence behavioral changes in food reward-associated cognition, with shy-treated males showing gradual increases in behavior into the conditioned zone. These findings suggest that personality and sex differences may depend on the nature and valence of the associative task to recall. Thus, this study emphasizes the importance of assessing memory retention alongside learning acquisition to understand the relationship between personality types and cognition.

animal behavior and cognition↗

bioRxiv2026

Neural correlates of place learning in the cane toad, Rhinella marina

Learning locations by integrating external reference points, or place learning, is a form of navigation strongly associated with the mammalian hippocampus and its homologs in other vertebrates. In contrast, cue learning relies on individual environmental features and can occur independently of the hippocampus. Despite growing interest in amphibian spatial cognition and association of spatial functions with the medial pallium brain region, how amphibian brains support different spatial learning strategies remains unknown. We designed a four-arm maze to test place, cue, and turn-direction learning in the cane toad (Rhinella marina), and paired maze trials with visualization of brain activity through pS6 immunohistochemistry. Toads improved performance over time only in the place task but exhibited consistently faster exit times in the cue task. Place task toads displayed elevated brain activity only in the dorsal and lateral palliums. These observations demonstrate that amphibians can acquire spatial navigation strategies through distinct behavioral paradigms and reveal the diverse pallial contributions underlying vertebrate spatial cognition.

animal behavior and cognition↗

bioRxiv2024

Pervasive patterns in the songs of passerine birds resemble human music universals and are linked with production and cognitive mechanisms

Music is a complex learned behavior that is ubiquitous among humans, and many musical patterns are shared across geography and cultures ("music universals"). Knowing whether these universals are specific to humans or shared with other animals is important to understand how production-related factors (motor biases and constraints) or cognitive factors (learning) contribute to the emergence of these acoustic patterns. Bird song is often described as an animal analogue of human music, and some studies of individual avian species highlight acoustic similarities between bird song and music. However, expansive and comparative approaches are necessary to identify universal patterns within bird song, reveal mechanisms associated with these patterns, and draw parallels to music universals. Here, we adopt such an approach and analyze the prevalence of acoustic patterns (sequences) across [~]300 species of passerines, spanning both oscines (songbirds; vocal learners) and their sister clade, suboscines (passerines that produce songs that are not learned), as well as within a global corpus of human vocal music. This approach allowed us to directly test hypotheses that phonation mechanisms or vocal learning shape the emergence of universal patterns. We first document acoustic patterns that were widely shared across passerines and similar to music universals (e.g., small pitch intervals), highlighting the role of shared vocal production mechanisms in these patterns. Consistent with a contribution of vocal learning, we observed patterns (e.g., alternation in durations) there were more similar between oscines and humans than between suboscines and humans. Interestingly, we also discovered patterns (e.g., pitch alternation) that were inconsistent with a contribution of vocal learning and were more similar between suboscines and humans than between oscines and humans. This research provides the broadest evidence of shared universals in vocal performance across birds and humans and highlights convergent mechanisms shaping communication patterns.

animal behavior and cognition↗

bioRxiv2020

Bumblebees learn a relational rule but switch to a win-stay/lose-switch heuristic after extensive training

Mapping animal performance in a behavioural task to underlying cognitive mechanisms and strategies is rarely straightforward, since a task may be solvable in more than one manner. Here, we show that bumblebees perform well on a concept-based visual discrimination task, but spontaneously switch from a concept-based solution to a simpler heuristic with extended training, all while continually increasing performance. Bumblebees were trained in an arena to find reward on displays with shapes of different sizes where they could not use low-level visual cues. One group of bees was rewarded at displays with bigger shapes and another group at displays with smaller shapes. Analysis of total choices shows bees increased their performance over 30 bouts to above chance. However, analyses of first and sequential choices suggest that after approximately 20 bouts, bumblebees changed to a win-stay/lose-switch strategy. Comparing bees behaviour to a probabilistic model based on a win-stay/lose-switch strategy further supports the idea that bees changed strategies with extensive training. Analyses of unrewarded tests indicate bumblebees learned and retained the concept of relative size even after they had already switched to a win-stay, lost-shift strategy. We propose that the reason for this strategy switching may be due to cognitive flexibility and efficiency.

animal behavior and cognition↗

bioRxiv2020

Learning and motor-impulse control in domestic fowl and crows

Cognitive abilities allow animals to navigate through complex, fluctuating environments. In the present study, we tested the performance of a captive group of eight crows, Corvus corone, and ten domestic chickens, Gallus gallus domesticus, in the cylinder task, as a test of motor inhibitory control, and reversal learning as a measure of learning ability and behavioural flexibility. Four crows and nine chickens completed the cylinder task, eight crows and six chickens completed the reversal learning experiment. Crows performed better in the cylinder task compared to chickens. In the reversal learning experiment, species did not significantly differ in the number of trials until learning criterion was reached. Performance in the reversal learning experiment did not correlate with performance in the cylinder task in chickens. Our results suggest crows to possess better motor inhibitory control compared to chickens. In contrast, learning performance in a reversal learning task did not differ between the species, indicating similar levels of behavioural flexibility. Interestingly, we describe notable individual differences in performance. We stress the importance not only to compare cognitive performance between species but also between individuals of the same species when investigating the evolution of cognitive skills.

animal behavior and cognition↗

bioRxiv2021

A multivariate view of cognitive differences reveals domain-general correlation structure in the Trinidadian Guppy (Poecilia reticulata)

Cognitive variation is common among-individuals and can be consistent across time and context. From an evolutionary perspective, among-individual variation is important as a pre-requisite for natural selection and adaptive evolution. Selection is widely hypothesized to favor high cognitive performance but directional selection should erode variation over time, how then is cognitive variation maintained? As selection does not act on traits in isolation, covariance among specific cognitive traits and/or other aspects of phenotype (e.g. personality) could result in fitness trade-offs that are important in shaping evolutionary dynamics. Here we test this using Trinidadian guppies (Poecilia reticulata), using a multivariate approach by characterising the correlation structure among task-specific cognitive performance measures and a personality trait. We estimate the among-individual correlation matrix (ID) in performance across three cognitive tasks; colour association learning task; motor learning task; reversal learning task, and the personality trait boldness measured as emergence time from a shelter. We found no support for trade-offs among performance in these tasks. Nor do we find evidence of hypothesised speed-accuracy trade-offs within the association learning task. Rather we find strong positive correlation structure in ID, with 57% of variation explained by the leading eigen vector. While noting that non-cognitive factors and assay composition may affect the structure of ID, we suggest our findings are consistent with the g-model of cognitive performance variation, in which a dominant axis of variation loads positively on all performance measures. Thus, we add to a growing body of support for general variation among individuals in animal cognitive ability.

animal behavior and cognition↗

bioRxiv2022

The association between real-world experiential diversity and event cognition

Parsing experience into meaningful events or units, known as event segmentation, may be critical for structuring episodic memory, planning, and navigating the spatial and social world. However, little is known about what factors shape inter-individual differences in event segmentation. Here, we show that individuals with greater variation in their daily social and spatial lives (experiential diversity) displayed more fine-grained event segmentation during a movie-viewing task. Further analyses revealed that this relationship held after considering potential confounds, such as anxiety and loneliness, and was primarily driven by variation in social experiential diversity. These results support the view that event segmentation can occur proactively based on social and spatial environmental dynamics learned in the wild and provide a potential cognitive pathway through which isolation impacts cognitive health.

animal behavior and cognition↗

bioRxiv2023

Learning modifies attention during bumblebee visual search

The role of visual search during bee foraging is relatively understudied compared to the choices made by bees. As bees learn about rewards, we predicted that visual search would be modified to prioritise rewarding flowers. To test this, we ran an experiment testing how bee search differs in the initial and later part of training as they learn about flowers with either higher-or lower-quality rewards. We then ran an experiment to see how this prior training with reward influences their search on a subsequent task with different flowers. We used the time spent inspecting flowers as a measure of attention and found that learning increased attention to rewards and away from distractors. Higher quality rewards led to decreased attention to non-flower regions, but lower quality rewards did not. Prior experience of lower rewards also led to more attention to higher rewards compared to distractors and non-flower regions. Our results suggest that flowers would elicit differences in bee search behaviour depending on the sugar content of their nectar. They also demonstrate the utility of studying visual search and have important implications for understanding the pollination ecology of flowers with different qualities of reward. Significance StatementStudies investigating how foraging bees learn about reward typically focus on the choices made by the bees. How bees deploy attention and visual search during foraging is less well studied. We analysed flight videos to characterise visual search as bees learn which flowers are rewarding. We found that learning increases the focus of bees on flower regions. We also found that the quality of the reward a flower offers influences how much bees search in non-flower areas. This means that a flower with lower reward attracts less focussed foraging compared to one with a higher reward. Since flowers do differ in floral reward, this has important implications for how focussed pollinators will be on different flowers. Our approach of looking at search behaviour and attention thus advances our understanding of the cognitive ecology of pollination.

animal behavior and cognition↗

bioRxiv2025

Causal affordances shape Hornbills' problem-solving strategies

Insight--that eureka moment when understanding emerges without trial-and-error--has traditionally been limited to great apes, corvids, and parrots (Byrne, 2016; Emery & Clayton, 2004; Lambert et al., 2019). The vertical string-pulling paradigm, a hallmark test of avian cognition (Jacobs & Osvath, 2015), requires birds to retrieve suspended food by incrementally pulling the string with their bill while securing it with their foot--demonstrating both motor coordination and causal understanding. However, Oriental pied hornbills (Anthracoceros albirostris) present an interesting case due to their unique anatomical constraints--their fused proximal phalanges prevent them from employing the typical foot-assisted string-pulling technique used by other birds. This study challenged six Oriental pied hornbills with two distinct vertical string-pulling problems, each requiring different solving strategies based on their causal properties. Despite their pedal limitations, five of the six subjects successfully solved both problems with remarkable efficiency, achieving solutions within an average of 17.6 seconds of their first encounter with the tasks. Most notably, the successful hornbills immediately employed task-specific biomechanical strategies that directly addressed the causal relationship between the string and the food reward: vigorous shaking movements to dislodge unsecured rewards, versus precise bill-and-tongue manipulation for rewards firmly attached to the string. The hornbills immediate application of causally appropriate, task-specific solutions without prior trial-and-error strongly supports the genuine insight hypothesis rather than associative learning explanations. These findings reveal sophisticated problem-solving capabilities in this previously understudied taxon and contribute valuable evidence to our understanding of convergent cognitive evolution across phylogenetically distant species.

animal behavior and cognition↗

bioRxiv2019

Chimpanzees use advanced spatial cognition to plan least-cost routes

While the ability of naturally ranging animals to recall the location of food resources and use straight-line routes between them has been demonstrated in several studies, it is not known whether animals can use knowledge of their physical landscape to plan least-cost routes. This ability is likely to be particularly important for animals living in highly variable energy landscapes, where movement costs are exacerbated. Here, we used least-cost modelling to investigate whether chimpanzees (Pan troglodytes) living in a rugged, montane environment use advanced cognitive skills to plan energy efficient routes. We used a subset of chimpanzee movement segments together with the available laboratory measurements of chimpanzee energy expenditure to assign movement costs which were incorporated in an anisotropic least-cost model and straight-line null model. The least-cost model performed better than the straight-line model across all parameters, and linear mixed modelling showed a strong relationship between the cost of observed chimpanzee travel and predicted least-cost routes. To our knowledge, our study provides the first example of spatial memory for landscape and the ability to plan least-cost routes in non-human animals. These cognitive abilities may be a key trait that have enabled chimpanzees to maintain their energy balance in a low-resource environment. Our findings provide a further example of how the advanced cognitive complexity of hominids have facilitated their adaptation to a variety of environmental conditions and lead us to hypothesise that landscape complexity may play a role in shaping cognition.

animal behavior and cognition↗

bioRxiv2026

Inhibitory Control, Shifting, and Working Memory Updating Domains form Cognitive Phenotypes in Non-human Primates

Executive functions comprise at least four major subdomains: Inhibitory Control, Updating, Shifting, and Working Memory. Cognitive abilities in these subdomains are partially separable and partially unified in a common cognitive control factor in humans, but how these functions are organized in the nonhuman primate (NHP) is largely unknown. Here, we used a multi-task assessment approach and found that NHPs show within single sessions reliable cognitive markers of Inhibitory Control in an antisaccade task, (ii) Updating abilities in a multidimensional continuous updating task, (iii) Working Memory in a delayed matching task, and (iv) Shifting abilities in a feature-based rule learning task. First, we found that subjects performance fell into three separable cognitive phenotypes with unique strengths and weaknesses across cognitive subdomains. Second, beyond individual tasks cognitive metrics gave rise to four latent cognitive factors separating abilities for shifting/learning and working memory updating, and distinguishing abilities in inhibitory control of exogeneous versus endogenous interference. These results document four separable latent cognitive factors underlying executive control performance in this NHP sample, with inter-subject differences of these factors forming cognitive phenotypes.

animal behavior and cognition↗

bioRxiv2026

Cognition and brain gene expression vary with sex and body size in a polyphenic dung beetle (Onthophagus taurus)

Individual variation in cognition can have critical fitness consequences for animals. Therefore, it is important to understand the relationship between cognition and ecologically relevant life history traits that vary within species. Furthermore, we lack a unified understanding of how these traits are integrated mechanistically with the cognitive outcomes they are associated with. We examined the relationship between cognitive performance on multiple tests on one side--and sex, a nutritionally-cued reproductive male polyphenism, and body size on the other--as well as their respective relationships to brain gene expression. Using the bull-headed dung beetle (Onthophagus taurus), we performed an associative learning assay, a spatial cognition assay, and a detour test on large fighter males, small sneaker males, and correspondingly large and small females. We then performed RNAseq on the brains of the beetles that had performed these assays. We found that sex was an important predictor of performance on the spatial cognition assay, while body size (which is closely related to early life nutrition) was associated with performance on the detour task. The associative learning assay did not yield significant results. RNAseq data revealed complex and multifaceted relationships between brain gene expression and our factors of interest. This work provides insights into the complex links between cognition, brains, and ecologically relevant traits.

animal behavior and cognition↗

bioRxiv2019

Rationally inattentive intertemporal choice

Discounting of future rewards is traditionally interpreted as evidence for an intrinsic preference in favor of sooner rewards. However, temporal discounting can also arise from internal uncertainty in value representations of future events, if one assumes that noisy mental simulations of the future are rationally combined with prior beliefs. Here, we further develop this idea by considering how simulation noise may be adaptively modulated by task demands, based on principles of rational inattention. We show how the optimal allocation of mental effort can give rise to the magnitude effect in intertemporal choice. In a re-analysis of two prior data sets, and in a new experiment, we reveal several behavioral signatures of this novel theoretical account, tying choice stochasticity to the magnitude effect. We conclude that some aspects of temporal discounting may result from a cognitively plausible adaptive response to the costs of information processing.

animal behavior and cognition↗