Animal Behavior Research Articles

TRANCE STEREOTYPIES IN HUMAN AND PRIMATE PANTOMIMICRY

The authors reviewed and analysed Russian and foreign experimental studies on pantomimic stereotypes. Initially, stereotypical behaviuor was negatively evaluated. Modern research considers adaptive functions and possibilities of self-stimulation as a way to harmonise emotional and mental state. A comparative analysis of circular, pendulum and diagonal movements in children and Old World monkeys was conducted using an ethological approach to the study of behavioural patterns. Human observations were conducted in the psychoneurological department of Silischeva Astrakhan Regional Children’s Clinical Hospital, 40 preschool children with mental dysontogenesis participated. Five laboratory macaques and a family of hamadryas baboons kept in an aviary with homologous kinesics were observed in Sukhumi nursery. According to the authors’ team, walking (running) in a circle and diagonally, swinging the body “right-to-leftˮ in the pantomimic production of children and monkeys are associated with self-stimulation of an altered state of consciousness. Trance stereotypes divert attention from external stressors and stimuli and harmonise mental homeostasis. The study may be of interest to anthropologists, primatologists, specialists in the study of the psyche and pathological behaviour of animals and Homo sapiens.

Single Intranasal Administration of Ucn3 Affects the Development of PTSD Symptoms in an Animal Model

Post-traumatic stress disorder (PTSD) is a multifactorial psychological disorder that affects different neurotransmitter systems, including the central CRH system. CRH acts via the CRHR1 and CRHR2 receptors, which exert opposite effects, i.e., anxiogenic or anxiolytic. The aim of this work was to investigate how intranasal administration of the CRHR2-specific agonist urocortin 2 (Ucn2) or urocortin 3 (Ucn3) affects manifestations of PTSD in a single prolonged stress (SPS) animal model of PTSD. Elevated plus maze (EPM) and open field (OF) tests were used to assess anxiety-like behavior. Changes in the gene expressions of CRH, CRHR1, CRHR2, glucocorticoid receptor (GR), and FKBP5 were measured in brain regions (BNST, amygdala, and PVN) responsible for modulating the stress response. The SPS animals spent less time in the OF central zone and were less mobile than the controls; however, the Ucn3 treatment reversed this effect. SPS decreased the GR and FKPB5 mRNA levels in the PVN. Ucn3 suppressed the effect of SPS on FKBP5 mRNA expression in the PVN and increased FKBP5 mRNA in the BNST and PVN compared to the stressed animals. We demonstrate that Ucn3 has the potential to ameliorate anxiety-like behavior in SPS animals and also to affect the neuroendocrine system in the BNST and PVN. In addition, we confirm the important role of CRHR2 signaling in mediating the stress response.

Implementations of sign- and goal-tracking behavior in humans: A scoping review.

Animal research has identified two major phenotypes in the tendency to attribute incentive salience to a reward-associated cue. Individuals called "sign-trackers" (STs) preferentially approach the cue, assigning both predictive and incentive values to it. In contrast, individuals called "goal-trackers" (GTs) preferentially approach the location of the upcoming reward, assigning only a predictive value to the cue. The ST/GT model has been shown to be relevant to understanding addiction vulnerability and other pathological behaviors in animals. Therefore, recent studies tried to implement this animal model in the human population. This scoping review aimed to identify and map evidence of human sign- and goal-tracking. Studies that explicitly measured human sign- and goal-tracking or related phenomena (e.g., attentional bias induced by reward-related cues), using paradigms in line with the animal model, were eligible for this review. We searched for published, unpublished, and gray literature (PhD theses, posters, conference papers) through the following databases: MEDLINE, Scopus, PsycINFO, Embase, OSF, and Google Scholar. The JBI scoping review methodology was adopted. Screening and extraction were carried out by three reviewers, in pairs. A total of 48 studies were identified. These studies used various experimental paradigms and used the term "sign-tracking" inconsistently, sometimes implicitly or not at all. We conclude that the literature on human sign-tracking is very heterogeneous on many levels. Overall, evidence supports the existence of sign- and goal-tracking behaviors in humans, although further validated research is crucially needed.

Should Zoo Food Be Chopped for Ruffed Lemurs? It's Not so Black and White.

Whole food diets in zoos have the potential to reduce microbial contamination and keeper preparation time, whilst also reducing food nutrient breakdown. Given these benefits, it is important to determine whether there is any value in chopping up food. Lemurs (Family Lemuridae) are common in zoos, with over 7500 individuals housed globally. Given their regular occurrence in collections, plus the high incidence of frugivory, lemurs are an excellent taxon to investigate food presentation effects on behavior. A study was undertaken at Beale Wildlife Park on a group of four black-and-white ruffed lemurs (Varecia variegata) to investigate food presentation and preference. Animal behavior was recorded using instantaneous focal sampling at 60 s intervals to record state behaviors and continuous focal sampling to record event behaviors in 1-h sessions. Food preference was done by recording the first three food items consumed by individual lemurs. Overall, food manipulation was significantly increased during whole food presentation allowing the lemurs to display species-specific behaviors. Feeding and foraging were highest during very chopped food condition and inactivity was lowest in very chopped food presentation. When looking at aggressive interactions, there was an increase in stealing and locomotion with food during whole food presentation, whereas biting and startle were lower. Proving high-value food items chopped and low-value food items whole could reduce aggression while reduce aggression seen over high-value food items. For food preference, sweet potato was consistently in the top three food items for all lemurs, with beetroot being the second most-picked food item. This suggests that these individuals have a strong preference for food items high in carbohydrates. Keeper preparation time was significantly reduced during whole food preparation. Further research assessing a wider range of zoo-housed species would be beneficial to assess the effects of food presentation on behavior.

The recurrent temporal restricted Boltzmann machine captures neural assembly dynamics in whole-brain activity

Animal behaviour alternates between stochastic exploration and goal-directed actions, which are generated by the underlying neural dynamics. Previously, we demonstrated that the compositional Restricted Boltzmann Machine (cRBM) can decompose whole-brain activity of larval zebrafish data at the neural level into a small number (∼100-200) of assemblies that can account for the stochasticity of the neural activity (van der Plas et al., eLife, 2023). Here, we advance this representation by extending to a combined stochastic-dynamical representation to account for both aspects using the recurrent temporal RBM (RTRBM) and transfer-learning based on the cRBM estimate. We demonstrate that the functional advantage of the RTRBM is captured in the temporal weights on the hidden units, representing neural assemblies, for both simulated and experimental data. Our results show that the temporal expansion outperforms the stochastic-only cRBM in terms of generalization error and achieves a more accurate representation of the moments in time. Lastly, we demonstrate that we can identify the original time-scale of assembly dynamics by estimating multiple RTRBMs at different temporal resolutions. Together, we propose that RTRBMs are a valuable tool for capturing the combined stochastic and time-predictive dynamics of large-scale data sets.

From data on gross activity to the characterization of animal behaviour: which metrics for which purposes?

From data on gross activity to the characterization of animal behaviour: which metrics for which purposes?

YOLOv5DA: An Improved YOLOv5 Model for Posture Detection of Grouped Pigs

Accurate posture detection is the foundation for analyzing animal behavior, which can promote animal welfare. With the development of computer vision, such technology has been widely used in analyzing animal behavior without physical contact. However, computer vision technology for pig posture detection often suffers from problems of missed or false detection due to complex scenarios. To solve the problem, this study proposed a novel object detection model YOLOv5DA, which was based on YOLOv5s and designed for pig posture detection from 2D camera video. Firstly, we established the annotated dataset (7220 images) including the training set (5776 images), validation set (722 images), and test set (722 images). Secondly, an object detection model YOLOv5DA based on YOLOv5s was proposed to recognize pig postures (standing, prone lying, and side lying), which incorporated Mosaic9 data augmentation, deformable convolution, and adaptive spatial feature fusion. The comparative and ablation experiments were conducted to verify the model’s effectiveness and reliability. Finally, we used YOLOv5DA to detect the posture distribution of pigs. The results revealed that the standing posture was more frequent in the morning and afternoon and the side-lying posture was most common at noon. This observation demonstrated that the posture of pigs is influenced by temperature variations. The study demonstrated that YOLOv5DA could accurately identify three postures of standing, prone lying, and side lying with an average precision (AP) of 99.4%, 99.1%, and 99.1%, respectively. Compared with YOLOv5s, YOLOv5DA could effectively handle occlusion while increasing the mean precision (mAP) by 1.7%. Overall, our work provided a highly accurate, effective, low-cost, and non-contact strategy of posture detection in grouped pigs, which can be used to monitor pig behavior and assist in the early prevention of disease.

The recurrent temporal restricted Boltzmann machine captures neural assembly dynamics in whole-brain activity.

Animal behaviour alternates between stochastic exploration and goal-directed actions, which are generated by the underlying neural dynamics. Previously, we demonstrated that the compositional Restricted Boltzmann Machine (cRBM) can decompose whole-brain activity of larval zebrafish data at the neural level into a small number (∼100-200) of assemblies that can account for the stochasticity of the neural activity (van der Plas et al., eLife, 2023). Here, we advance this representation by extending to a combined stochastic-dynamical representation to account for both aspects using the recurrent temporal RBM (RTRBM) and transfer-learning based on the cRBM estimate. We demonstrate that the functional advantage of the RTRBM is captured in the temporal weights on the hidden units, representing neural assemblies, for both simulated and experimental data. Our results show that the temporal expansion outperforms the stochastic-only cRBM in terms of generalization error and achieves a more accurate representation of the moments in time. Lastly, we demonstrate that we can identify the original time-scale of assembly dynamics by estimating multiple RTRBMs at different temporal resolutions. Together, we propose that RTRBMs are a valuable tool for capturing the combined stochastic and time-predictive dynamics of large-scale data sets.

Onboard Sensors Reveal New Insights into Animal Decision-Making

The continuous process of decision-making in animals is crucial for their survival. For example, when deciding when, where, and with whom to forage, they need to consider their internal state, previous experience, and social information in addition to external factors such as food distribution and weather conditions. Studying animal decision-making in the wild is a complicated task due to the complexity of the process, which requires continuous monitoring of the examined individual and its environment. Here, we review the most advanced methods to examine decision-making from an individual point of view, namely tracking technologies to monitor the movement of an individual, the sensory information available to it, the presence and behavior of other animals around it, and its surrounding environment. We provide examples for studying decision-making during competition, examining the ontogeny of decision-making, and describing the importance of long-term monitoring and field manipulation for understanding decision processes throughout different life stages.

Mitigation measures for pinniped-fisheries interactions based on knowledge of animal behavior

Abstract A rise in pinniped-fisheries interactions has been observed due to the global decline in fish populations primarily attributed to overfishing, and/or due to the recent population recovery of several pinniped species. Although many studies have quantified these interactions, a limited number delve into their behavioral aspects. We consulted 374 studies on pinniped-fisheries interactions from 1980 to 2020 and analyzed which of them addressed the interaction from a behavioral perspective. Additionally, we examined the role of learning in pinnipeds and their ability to capture prey from fishing gear. The stimulus-reward relationship in operational interactions was addressed in 51 (14%) studies, involving 10 (19%) of the world’s 54 pinniped species or subspecies. Depredation behavior (43%) and attack behavior (35%) were frequently reported during fishing interactions. Understanding associative and non-associative learning mechanisms has the potential to reduce economic losses from fishing activity, advance efficient mitigation measures to minimize conflicts, and establish pragmatic conservation priorities based on a better understanding of the behavioral aspects of these interactions. More research is needed to explore the effectiveness of deterrents in different species, improve methods of reducing habituation, and evaluate long-term behavioral effects, fostering effective strategies for minimizing conflicts and promoting coexistence between humans and pinnipeds.

PRÁTICAS DE ENSINO EM SALA DE AULA: IMPACTO DAS ATIVIDADES INTERATIVAS NO APRENDIZADO DE BIOLOGIA

This article investigates the impact of interactive activities proposed in the classroom on the biology learning of integrated high school students at the IFMT Várzea Grande campus. The methodology involved direct and indirect participant observation, with the aim of describing the behavior, feeding methods, reproduction and interactions of animals observed in the backyard of these students' homes. The results indicated an increase in engagement and understanding of the concepts studied in the classroom and that the backyard environment proved to be its own small ecosystem, adapted to the conditions and species that live there.

Protective Effects of Lemna minor Linn. On Hepatic and Cognitive Impairments in Acetaminophen Induced Hepatic Encephalopathy in Rats

Aim: Lemna minor Linn., an aquatic plant, is a promising novel therapeutic agent that has been traditionally used in ethnobotanical practices as an ecofriendly supplement for the management of various ailments. This study involves the evaluation of ethanolic extract of Lemna minor Linn. against Paracetamol-induced Hepatic Encephalopathy using in vitro and in vivo Models. Methods: The acute oral toxicity study of the ethanolic extract of Lemna minor (EELM) was conducted following the OECD-425 guidelines over a 14-day period. A total of nine animals were used for this toxicity assessment. The EELM was tested in Paracetamol(PCM)-induced bioactivation animal model at two different dosages 200 and in comparison with silymarin as a standard compound. The In vivo experimental study was conducted using Sprague Dawley rats which was divided into 5 groups each group containing 6 animals so the total no of animals used in the study was 30 animals. The treatment groups included: normal control ( ), 100mg/kg silymarin (standard) and the EELM of two different doses of 200 and , p.o were administered to rats 10 hr before paracetamol ( ) treatment. Rats were orally administered their respective doses every day for total 30days. Paracetamol-induced oxidative liver damage disrupted normal levels of liver enzymes, total protein, and bilirubin, while also depleting antioxidant reserves. This oxidative stress was strongly associated with paracetamol toxicity, leading to a marked depletion of glutathione (GSH) and impairing both memory and cognitive function in the animals. Behavioral parameters are performed to evaluate the effect of drugs on cognitive behaviour of animals. Morris water maze test was performed to study how animals learn and remembers the spatial information relying on distal cues to locate the hidden platform in an opaque water. Additionally, elevated plus maze was performed to measures the anxious behaviour of rats, the criterion was tested based on the conflict between rats innate instincts to explore new environment and avoid open, well-lit areas. The potential protective effects of EELM was evaluated by measuring serum enzyme levels and antioxidants status in the liver and brain, further histopathological analysis was performed respectively. Results: The acute toxicity study did not report any mortality or toxicity signs in animals. PCM toxicity led to a statistically increase in the liver and body weight, along with brain water content. The PCM-intoxicated group exhibited a marked reduction in the level of superoxide dismutase (SOD) and glutathione (GSH) in the brain and liver, as well as an increase in lipid peroxidation and serum biomarkers (AST, ALT, ALP, and total bilirubin). EELM significantly ( ) reduced liver injury by inhibiting ALT, AST and ALP levels in serum. SOD, GSH and MDA liver content were significantly ( ) elevated by EELM, compared to PCM treated rats. Comparing the treatment and induced group, the treated group successfully recovered the activity of antioxidant levels and also been acknowledged for restored liver functioning by alleviating oxidative stress and also GSH level in brain was significantly increased by EELM and preserved the histology of brain, which was chronically produced over a period of 30 days. Conclusion: The findings of this investigation indicate the traditional use of Lemna minor in hepatoprotection and neuroprotection by regulating oxidative stress and mitigating reactive oxygen species (ROS). The insights gained from this research contribute to the development of novel therapeutic agents and paves the way for further studies on Lemna minor to enhance health outcomes, particularly in the management of neurodegenerative diseases.

“Neuroinflammation”: does it have a role in chronic pain? Evidence from human imaging

Abstract Despite hundreds of studies demonstrating the involvement of neuron-glia-immune interactions in the establishment and/or maintenance of persistent pain behaviors in animals, the role (or even occurrence) of so-called “neuroinflammation” in human pain has been an object of contention for decades. Here, I present the results of multiple positron emission tomography (PET) studies measuring the levels of the 18 kDa translocator protein (TSPO), a putative neuroimmune marker, in individuals with various pain conditions. Overall, these studies suggest that brain TSPO PET signal: (1) is elevated, compared to healthy volunteers, in individuals with chronic low back pain (with additional elevations in spinal cord and neuroforamina), fibromyalgia, migraine and other conditions characterized by persistent pain; (2) has a spatial distribution exhibiting a degree of disorder specificity; (3) is parametrically linked to pain characteristics or comorbid symptoms (eg, nociplastic pain, fatigue, depression), as well as measures of brain function (ie, functional connectivity), in a regionally-specific manner. In this narrative, I also discuss important caveats to consider in the interpretation of this work (eg, regarding the cellular source of the signal and the complexities inherent in its acquisition and analysis). While the biological and clinical significance of these findings awaits further work, this emerging preclinical literature supports a role of neuron-glia-immune interactions as possible pathophysiological underpinnings of human chronic pain. Gaining a deeper understanding of the role of neuroimmune function in human pain would likely have important practical implications, possibly paving the way for novel interventions.

On cat–human interaction from the viewpoint of physics: An equation of motion

This paper provides an enjoyable example through which several concepts of classical mechanics can be understood. We introduce an equation that models the motion of a cat in the presence of a person. The cat is considered as a point particle moving in a potential induced by the person. We demonstrate that this approach to the problem reproduces characteristic behaviors of these curious animals. For instance, the fact that cats do not typically come when they are called, or that they remain longer on the lap of their favorite person; even “zoomies” are reproduced (cats randomly run back and forth across the house). We use this model problem to explore topics of current research such as stochastic equations and periodically driven systems. The pedagogical value of this work and its potential use in teaching are discussed.

Fear Arousal Drives the Renewal of Active Avoidance of Hazards in Construction Sites: Evidence from an Animal Behavior Experiment in Mice

Fear Arousal Drives the Renewal of Active Avoidance of Hazards in Construction Sites: Evidence from an Animal Behavior Experiment in Mice

EFEITOS DE FÁRMACOS PSICOTRÓPICOS NO TRATAMENTO DE DISTÚRBIOS COMPORTAMENTAIS EM CÃES (CANIS FAMILIARIS)

With the strengthening of human-animal interaction and the scientific recognition of sentience, there has been a significant increase in the perception of atypical behaviors in companion animals, as observed by legal guardians and veterinarians. In general terms, such changes occur due to excessive humanization, stress, fear, or inappropriate environments, leading to variations in temperament, emotional dependency, and/or inhibition of species-specific natural behaviors. The class of psychotropic drugs offers pharmacological treatment for the mental state of these animals by modulating neurotransmitters such as serotonin and dopamine. The objective of this study was to evaluate the pharmacological impact of psychotropic drugs on the social development and emotional resilience of these animals, in conjunction with behavioral therapy. For this purpose, domestic dogs (Canis familiaris) diagnosed with compulsive disorders secondary to other behavioral dysfunctions were treated with trazodone hydrochloride (Group 1) and extracts from Psilocybe cubensis mushrooms (Group 2), and compared to conventional treatment with fluoxetine hydrochloride. The animals were diagnosed and evaluated using questionnaires aimed at diagnosing and monitoring the evolution of treatment, based on the literature referenced in this study. Atypical behaviors associated with primary and secondary disorders were mitigated or eliminated in Group 1 (n=4), Group 2 (n=4), and the conventional treatment group. However, fluoxetine hydrochloride showed a reduction in appetite as a side effect.

The behavior patterns of giraffes (Giraffa camelopardalis) housed across 18 US zoos.

Interpreting animal behavior in the context of welfare can be inherently challenging given the limited behavior data available for many species housed in zoos. Describing common behavior patterns may help animal managers by providing additional background when assessing the individuals in their care. Although valuable, these efforts require a large, collaborative approach and have, consequently, been rare. Here, we share the behavior patterns of zoo-housed giraffes, an iconic and commonly housed megafauna in zoos. Behavior data were evaluated for 66 giraffes living across 18 AZA-accredited zoos using the ZooMonitor Community platform. Data were recorded during 10-minute observation sessions. Observations were conducted during daytime hours over the course of approximately one year at each zoo (mean total observed time per individual = 23.2 hr). The most common behaviors observed were feeding/ foraging behaviors, which accounted for 38.6% of the mean visible time budget across giraffes. Time spent in these behaviors varied by individual and ranged from 14.3% to 69.3% of visible time. Stereotypic behaviors occurred in all study individuals, with oral stereotypic behaviors being most common. Although prevalent, stereotypic behaviors varied considerably across giraffes, with some individuals exhibiting these behaviors only on a few occasions to an individual that exhibited these behaviors once every few minutes. This study provides a robust evaluation of giraffe behavior across zoos to present a picture of their common behavior patterns in managed care. We hope these multi-institutional behavior patterns can provide perspective to aid animal managers in evaluating giraffes in their care.

Nature's All-in-One: Multitasking Robots Inspired by Dung Beetles.

Dung beetles impressively coordinate their 6 legs to effectively roll large dung balls. They can also roll dung balls varying in the weight on different terrains. The mechanisms underlying how their motor commands are adapted to walk and simultaneously roll balls (multitasking behavior) under different conditions remain unknown. This study unravels the mechanisms of how dung beetles roll dung balls and adapt their leg movements to stably roll balls over different terrains for multitasking robots. A modular neural-based loco-manipulation control inspired by and based on ethological observations of the ball-rolling behavior of dung beetles is synthesized. The proposed neural-based control contains a central pattern generator (CPG) module, a pattern formation network (PFN) module, and a robot orientation control (ROC) module. The integrated control mechanisms can control a dung beetle-like robot (ALPHA) with biomechanical feet to perform adaptive (multitasking) loco-manipulation (walking and ball-rolling) on various terrains (flat and uneven). It can deal with different ball weights (2.0 and 4.6kg) and ball types (soft and rigid). The control mechanisms can serve as guiding principles for solving sensory-motor coordination for multitasking robots. Furthermore, this study contributes to biological research by enhancing the understanding of sensory-motor coordination for adaptive (multitasking) loco-manipulation behavior in animals.

Study on need of monitoring sound pollution at developing urban localities

Environmental pollution is a very serious issue around the world due to development of humankind towards well-being and modernization. It not only impacts health but also affects over all biodiversity. Sound does nothing till it is up to certain limit, as it creates pressure on the particles of the medium, when the limit of pressure is increased, it becomes nuisance. Sound pollution is the one important agent out of other factors that disrupts the living of humans and its ecosystem. It is related with physical, psychological or emotional states. Sound pollution adversely affects the humankind and animals leading to irritation, loss of concentration, and loss of hearing and abnormal behaviour of animals. The present work emphasizes the need to monitor and control the sound pollution in the developing cities to tackle the related future problems, to investigate the status and validity of ambient noise standards in the Indian situation, also to propose need of noise control based on the available knowledge on noise policies and regulations. The study is an approach towards importance of monitoring the sound pollution, its sources and its effects on the human activities or the ecosystem with respect to degrees of exposure in the newly developing urban localities with moderate commercial activities. The impact of sound pollution will increase if appropriate measures are not taken.

Narrating Disruptive Encounters in the Forest: Hunting, Animal Lives, and Ecology

Over the last century, three popular writers and media personalities have written bestsellers and created TV programs in order to alert the general public to the suffering of wild animals as well as the deleterious effects on young trees caused directly or indirectly by hunting and forestry practices. Austrian journalist and writer Felix Salten published Bambi: A Story of Life in the Woods (1923), using a baby deer’s perspective. German journalist and literary author Horst Stern shocked the nation with his TV program Remarks about the Stag (1971), which shows the brutality of hunting; his 1989 Jagdnovelle (The Last Hunt) weaves together a hunter’s perspective with his prey animal’s experience. In recent years, German forester Peter Wohlleben has shifted the focus from animals to plants by publishing a series of popular books about the forest, starting with The Hidden Life of Trees (2015). This essay examines how Salten, Stern, and Wohlleben all humanize their animal and plant characters, including through a form of “critical anthromorphism” (Mossner)—and are criticized for it. They also incorporate ethology, i.e. observations of animal behavior and the forest environment, as well as scientific knowledge, as they attempt to evoke their audience’s empathy for their nonhuman characters. Hunting pressure and the violent disruption of the lives of the animals leads to an “ecology of fear” instead of an “ecology of subjects” that would align better with changing perceptions of “nature” (Soentgen). Ethical questions concerning the mass killing of Europe’s largest mammals remain as it does not succeed in reducing deer overpopulation or damage to the forest ecosystem, perpetuing Germany’s forest/game conflict.