Motoric self-regulation by sled dogs and pet dogs and the acute effect of carbohydrate source in sled dogs

Early-life group size influences response inhibition, but not the learning of it, in Japanese quails

In complex social environments, animals benefit from suppressing inappropriate responses (known as Response Inhibition) to avoid conflicts and maintain group cohesion. Recent research suggests that an individual's early-life social environment can shape their response inhibition. However, these findings have mostly been correlational, and results vary across species. Furthermore, the role of learning is often overlooked when measuring response inhibition, despite its potential importance to understanding group differences. We investigated the effect of early-life group size, a key determinant of social complexity, on response inhibition in Japanese quails (Coturnix japonica), whilst taking the role of learning into account. Quails (n = 120) were raised in either small groups of five or large groups of 15 individuals. Response inhibition was assessed using the cylinder task. Up to ten trials were administered to assess whether the birds' responses changed with increasing experience of the task. Among the quails that completed ten trials, we found that those raised in large groups consistently spent less time pecking the cylinder than those raised in small groups. The quails' responses were also influenced by their body condition, food motivation and sex. Importantly, the quails learned to inhibit their responses - successful trials increased, and time spent pecking the cylinder decreased, across ten trials. However, learning rates did not differ between the treatment groups. These findings suggest that early-life social group size promotes the development of response inhibition in quails, but not their learning of it, during the cylinder task.

Development of the dog executive function scale (DEFS) for adult dogs

Executive functions (EFs) are cognitive processes that are used to effortfully self-regulate behaviour and might be important for dogs’ success in working and pet roles. Currently, studies are assessing dogs’ EF skills through often laborious cognitive measures, leading to small sample sizes and lacking measures of reliability. A complementary method is needed. The aim of this study was to develop a dog executive function scale (DEFS) for adult dogs. Focus groups were held with people working with dogs professionally to refine a pool of items describing dog behaviours related to EF. A survey was distributed online to a convenience sample of N = 714 owners of adult dogs. Exploratory and confirmatory factor analysis identified six distinguishable factors named behavioural flexibility, motor inhibition, attention towards owner, instruction following, delay inhibition and working memory. These factors appear similar to factors identified in human EF scales. Working dogs exhibit higher EF scores on the DEFS than non-working dogs. Dogs sourced from breeders exhibited higher DEFS scores than dogs sourced from shelters, and the amount of training received positively correlated with dogs’ DEFS scores. The DEFS requires further validation with cognitive measures. The DEFS could then be used by researchers to complement assessment of dogs’ EF skills through cognitive measures or assess dogs’ EF skills in large samples.

Environmental influences on development of executive functions in dogs

Executive functions (EFs) are a set of cognitive processes used for effortful self-regulation of behaviour. They include inhibition, working memory, cognitive flexibility and, in some models, attention. In humans, socioeconomic factors and life experiences shape development of EFs. Domestic dogs (Canis familiaris) must often regulate their behaviour in the human environment (e.g. no jumping up on humans or chasing cats), and life experiences also probably influence the development of EFs in dogs. Research into dog cognition and behaviour has been thriving, and some methods used to explore these concepts (e.g. object-choice task, questionnaires measuring traits like distraction and aggression) are likely to be sensitive to differences in EFs, even if that is not their stated aim. Here we examine relevant studies to identify experiential factors which may influence the development of EFs in dogs living in human care. These are early experience, training, housing and stress. We conclude that the development of dogs' EFs may be negatively affected by hardships, and positively by surmountable challenges, early in life. Training methods appear important, with punishment-based methods leading to poorer dog EFs. Kennel environments seem to affect dog EFs negatively. While mild stressors might enhance the development of EFs, too much stress seems to have negative effects. Regulation of behaviour, a key outcome of EFs, is crucial for dogs' integration into human society. We should, therefore, strive to better understand how the environment shapes dogs' EFs.

The development of problem-solving abilities in a population of candidate detection dogs (Canis familiaris)

Both ontogenetic and phylogenetic factors have shaped dogs' cognitive capabilities, resulting in a heightened social sensitivity at the apparent cost of non-social problem-solving abilities. Research has suggested that training history and life experience can influence problem-solving abilities in dogs. However, the ontogenetic development of problem-solving abilities in dogs has been less explored. We tested a population of candidate detection dogs of various ages across the first year of development on four well-established problem-solving tasks targeting different cognitive domains (i.e., cylinder, A-not-B barrier, delayed search, and spatial transposition tasks). We examined developmental effects by comparing cognitive task performance across three age groups. Age-related improvements for all four cognitive measures indicate developmental increases in processes related to inhibitory control, attention, and spatial cognition between 3 and 12 months of age. Additionally, we found some relationships between cognitive measures and detection dog performance measures, though effects were not as robust. We discuss the results in the context of canine cognitive development and corresponding effects of phylogeny and ontogeny, as well as potential applications to working dog training and selection.