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Biology subjects

Glukhova, M.

Publications and source records attributed to Glukhova, M..

4 recordsLinked to original sources

Eyes on the prize: Mice deploy task-driven saccades during naturalistic foraging

Active sensing allows organisms to shape incoming sensory information through self-generated actions, and saccadic eye movements provide a key readout of this process in vision. In primates, saccades are strongly modulated by cognitive variables such as uncertainty, value, and behavioural goals, particularly in complex, naturalistic settings. In rodents, by contrast, saccades have largely been interpreted as reflexive or compensatory, and evidence that they are modulated by cognitive state, such as trial outcome, expectation, or task demands, has remained sparse. Here, we examined how mice use saccades during a vision-dependent foraging task in a traversable immersive virtual environment with naturalistic stimuli. We correlated their saccade dynamics with behavioural strategies observed within the virtual environment. Target-directed saccades emerged specifically when informative sensory evidence was available, but also occurred anticipatorily when animals could rely on previously learned spatial contingencies, indicating that saccades were guided not only by immediate visual input but also by internal representations. Strikingly, the temporal structure of inter-saccade intervals resembled signatures previously reported in primates and lengthened with increased processing demand following changes in task contingencies. Together, these findings show that mouse saccades are not merely reflexive gaze corrections, but form part of a cognitively modulated active sampling strategy. More broadly, they suggest that key principles of active visual sensing may be conserved across species and establish mouse oculomotor behaviour as a tractable readout of internal cognitive state.

neuroscience↗

More is better: Improved visual discrimination through local feature diversity in naturalistic objects

Visual discrimination is traditionally studied with highly controlled, artificial stimuli such as gratings. Yet real-world object discrimination relies on many interacting image dimensions. Here we compared human discrimination performance of oriented gratings with that of natural object morphs, and then asked which stimulus dimensions are most important for morph discrimination. In Experiment 1, participants discriminated between two artificial gratings, two natural grating-like textures, and two natural, morphed stimuli. Morph stimuli were discriminated faster and over a larger stimulus range. In Experiment 2, we separated the contribution of distinct image features, specifically colour, texture, and shape, to the discriminability of the morph stimuli. To this end, we varied two feature dimensions at a time while keeping the third dimension constant. Discrimination was best when colour and texture varied together, resulting in steeper psychometric functions and faster responses than when shape changed. Together, these results suggest a discriminative advantage for natural-object morphs over gratings, driven primarily by local colour and texture information rather than global shape.

neuroscience↗

Sharing the Spotlight: Uncovering common attentional dynamics across species

Sustained attention is a key underlying process to many natural behaviours that are shared by multiple species. Yet the way it is commonly studied in a lab context precludes any meaningful cross-species comparisons. Here, we engaged mice, monkeys, and humans in the exact same, natural perceptual decision task in a VR environment. We captured their behaviour into several parameters along the speed/accuracy axes along which sustained attention is classically defined, and used HMMs to infer four attentional states. We show that the dynamics of these states, both in terms of their durations as well as the transitions between them, are much more similar between the species than might have been expected. Moreover, attentional state fluctuations seem to be internally generated. The task and analyses developed here represent a new approach to compare sustained attention across species in an objective, data-driven way.

animal behavior and cognition↗

Thoughtful faces: inferring internal states across species using facial features

Animal behaviour is shaped to a large degree by internal cognitive states, but it is unknown whether these states are similar across species. To address this question, here we develop a virtual reality setup in which male mice and macaques engage in the same naturalistic visual foraging task. We exploit the richness of a wide range of facial features extracted from video recordings during the task, to train a Markov-Switching Linear Regression (MSLR). By doing so, we identify, on a singletrial basis, a set of internal states that reliably predicts when the animals are going to react to the presented stimuli. Even though the model is trained purely on reaction times, it can also predict task outcome, supporting the behavioural relevance of the inferred states. The relationship of the identified states to task performance is comparable between mice and monkeys. Furthermore, each state corresponds to a characteristic pattern of facial features that partially overlaps between species, highlighting the importance of facial expressions as manifestations of internal cognitive states across species.

animal behavior and cognition↗