Ehud Fonio

Freedom of movement and the stability of its unfolding in free exploration of mice

Exploration is a central component of human and animal behavior that has been studied in rodents for almost a century. The measures used by neuroscientists to characterize full-blown exploration are limited in exposing the dynamics of the exploratory process, leaving the morphogenesis of its structure and meaning hidden. By unfettering exploration from constraints imposed by hunger, thirst, coercion, and the confines of small cage and short session, using advanced computational tools, we reveal its meaning in the operational world of the mouse. Exploration consists of reiterated roundtrips of increasing amplitude and freedom, involving an increase in the number of independent dimensions along which the mouse moves (macro degrees of freedom). This measurable gradient can serve as a standard reference scale for the developmental dynamics of some aspects of the mouses emotional-cognitive state and for the study of the interface between behavior and the neurophysiologic and genetic processes mediating it.

Ant groups optimally amplify the effect of transiently informed individuals

To cooperatively transport a large load, it is important that carriers conform in their efforts and align their forces. A downside of behavioural conformism is that it may decrease the groups responsiveness to external information. Combining experiment and theory, we show how ants optimize collective transport. On the single-ant scale, optimization stems from decision rules that balance individuality and compliance. Macroscopically, these rules poise the system at the transition between random walk and ballistic motion where the collective response to the steering of a single informed ant is maximized. We relate this peak in response to the divergence of susceptibility at a phase transition. Our theoretical models predict that the ant-load system can be transitioned through the critical point of this mesoscopic system by varying its size; we present experiments supporting these predictions. Our findings show that efficient group-level processes can arise from transient amplification of individual-based knowledge.

Measuring behavior of animal models: faults and remedies.

Widely used behavioral assays need re-evaluation and validation against their intended use. We focus here on measures of chronic anxiety in mouse models and posit that widely used assays such as the open-field test are performed at the wrong time, for inadequate durations and using inappropriate mouse strains. We propose that behavioral assays be screened for usefulness on the basis of their replicability across laboratories.

Ten ways to improve the quality of descriptions of whole-animal movement.

The demand for replicability of behavioral results across laboratories is viewed as a burden in behavior genetics. We demonstrate how it can become an asset offering a quantitative criterion that guides the design of better ways to describe behavior. Passing the high benchmark dictated by the replicability demand requires less stressful and less restraining experimental setups, less noisy data, individually customized cutoff points between the building blocks of movement, and less variable yet discriminative dynamic representations that would capture more faithfully the nature of the behavior, unmasking similarities and differences and revealing novel animal-centered measures. Here we review ten tools that enhance replicability without compromising discrimination. While we demonstrate the usefulness of these tools in the context of inbred mouse exploratory behavior they can readily be used in any study involving a high-resolution analysis of spatial behavior. Viewing replicability as a design concept and using the ten methodological improvements may prove useful in many fields not necessarily related to spatial behavior.

Quantifying the buildup in extent and complexity of free exploration in mice

To obtain a perspective on an animals own functional world, we study its behavior in situations that allow the animal to regulate the growth rate of its behavior and provide us with the opportunity to quantify its moment-by-moment developmental dynamics. Thus, we are able to show that mouse exploratory behavior consists of sequences of repeated motion: iterative processes that increase in extent and complexity, whose presumed function is a systematic active management of input acquired during the exploration of a novel environment. We use this study to demonstrate our approach to quantifying behavior: targeting aspects of behavior that are shown to be actively managed by the animal, and using measures that are discriminative across strains and treatments and replicable across laboratories.

Short and long term measures of anxiety exhibit opposite results.

Animal models of human diseases of the central nervous system, generalized anxiety disorder included, are essential for the study of the brain-behavior interface and obligatory for drug development; yet, these models fail to yield new insights and efficacious drugs. By increasing testing duration hundredfold and arena size tenfold, and comparing the behavior of the common animal model to that of wild mice, we raise concerns that chronic anxiety might have been measured at the wrong time, for the wrong duration, and in the wrong animal. Furthermore, the mice start the experimental session with a short period of transient adaptation to the novel environment (habituation period) and a long period reflecting the respective trait of the mice. Using common measures of anxiety reveals that mice exhibit opposite results during these periods suggesting that chronic anxiety should be measured during the post-habituation period. We recommend tools for measuring the transient period, and provide suggestions for characterizing the post habituation period.

Wild mouse open field behavior is embedded within the multidimensional data space spanned by laboratory inbred strains

The vast majority of studies on mouse behavior are performed on laboratory mouse strains (Mus laboratorius), while studies of wild‐mouse behavior are relatively rare. An interesting question is the relationship between the phenotypes of M. laboratorius and the phenotypes of their wild ancestors. It is commonly believed, often in the absence of hard evidence, that the behavior of wild mice exceeds by far, in terms of repertoire richness, magnitude of variables and variability of behavioral measures, the behavior of the classical inbred strains. Having phenotyped the open field behavior (OF) of eight of the commonly used laboratory inbred strains, two wild‐derived strains and a group of first‐generation‐in‐captivity local wild mice (Mus musculus domesticus), we show that contrary to common belief, wild‐mouse OF behavior is moderate, both in terms of end‐point values and in terms of their variability, being embedded within the multidimensional data space spanned by laboratory inbred strains. The implication could be that whereas natural selection favors moderate locomotor behavior in wild mice, the inbreeding process tends to generate in mice, in some of the features, extreme and more variable behavior.

Validation of the dimensionality emergence assay for the measurement of innate anxiety in laboratory mice

The open field test is a common tool to measure innate anxiety in rodents. In the usual configuration of this test the animal is forced to explore the open arena and its behavior includes both anxiety and non-anxiety responses. However, the open arena is generally small and allows only limited expression of exploratory behavior. The recently developed dimensionality emergence assay in which an animal is housed in a home cage with free access to a large circular arena elicits graded exploration and promises to serve as a more ethological test of anxiety. Here we examined the predictive validity of this assay for anxiety-related measures in mice. First, we compared their behavior in the presence or absence of access to the home cage and found that mice with access to the home cage exhibited a gradual build-up in exploration of the arena while those without did not. Then we identified behavioral measures that responded to treatment with the anxiolytic drug diazepam. Diazepam altered several classical measures of innate anxiety, such as distance traveled and thigmotaxis, but also led to a dose-dependent acceleration of the build-up as reflected in a significantly reduced latency to attain several exploratory landmarks. Finally, we tested the utility of the dimensionality emergence assay in assessing alterations in innate anxiety reported in mice carrying a knockout allele for the serotonin 1A receptor (Htr1a). Our findings support the validity of the dimensionality emergence assay as a method to extract an expanded repertoire of behavioral measures for the assessment of anxiety in laboratory mice.

Emergent Exploration via Novelty Management

When encountering novel environments, animals perform complex yet structured exploratory behaviors. Despite their typical structuring, the principles underlying exploratory patterns are still not sufficiently understood. Here we analyzed exploratory behavioral data from two modalities: whisking and locomotion in rats and mice. We found that these rodents maximized novelty signal-to-noise ratio during each exploration episode, where novelty is defined as the accumulated information gain. We further found that these rodents maximized novelty during outbound exploration, used novelty-triggered withdrawal-like retreat behavior, and explored the environment in a novelty-descending sequence. We applied a hierarchical curiosity model, which incorporates these principles, to both modalities. We show that the model captures the major components of exploratory behavior in multiple timescales: single excursions, exploratory episodes, and developmental timeline. The model predicted that novelty is managed across exploratory modalities. Using a novel experimental setup in which mice encountered a novel object for the first time in their life, we tested and validated this prediction. Further predictions, related to the development of brain circuitry, are described. This study demonstrates that rodents select exploratory actions according to a novelty management framework and suggests a plausible mechanism by which mammalian exploration primitives can be learned during development and integrated in adult exploration of complex environments.

A locally-blazed ant trail achieves efficient collective navigation despite limited information

Any organism faces sensory and cognitive limitations which may result in maladaptive decisions. Such limitations are prominent in the context of groups where the relevant information at the individual level may not coincide with collective requirements. Here, we study the navigational decisions exhibited by Paratrechina longicornis ants as they cooperatively transport a large food item. These decisions hinge on the perception of individuals which often restricts them from providing the group with reliable directional information. We find that, to achieve efficient navigation despite partial and even misleading information, these ants employ a locally-blazed trail. This trail significantly deviates from the classical notion of an ant trail: First, instead of systematically marking the full path, ants mark short segments originating at the load. Second, the carrying team constantly loses the guiding trail. We experimentally and theoretically show that the locally-blazed trail optimally and robustly exploits useful knowledge while avoiding the pitfalls of misleading information. DOI: http://dx.doi.org/10.7554/eLife.20185.001