Levinson, M. | Search bioRxiv

bioRxiv2024

Stimulus-dependent delay of perceptual filling-in by microsaccades

Perception is a function of both stimulus features and active sensory sampling. The illusion of perceptual filling-in occurs when eye gaze is kept still: visual boundary perception may fail, causing adjacent visual features to remarkably merge into one uniform visual surface. Microsaccades-small, involuntary eye movements during gaze fixation-counteract perceptual filling-in, but the mechanisms underlying this process are not well understood. We investigated whether microsaccade efficacy for preventing filling-in depends on two boundary properties, color contrast and retinal eccentricity (distance from gaze center). Twenty-one human participants (male and female) fixated on a point until they experienced filling-in between two isoluminant colored surfaces. We found that increased color contrast independently extends the duration before filling-in but does not alter the impact of individual microsaccades. Conversely, lower eccentricity delayed filling-in only by increasing microsaccade efficacy. We propose that microsaccades facilitate stable boundary perception via a transient retinal motion signal that scales with eccentricity but is invariant to boundary contrast. These results shed light on how incessant eye movements integrate with ongoing stimulus processing to stabilize perceptual detail, with implications for visual rehabilitation and the optimization of visual presentations in virtual and augmented reality environments. Significance StatementTo perceive, sense organs actively sample the environment--for example, by touching, sniffing, or moving the eyes. Visual sampling persists even when gaze is fixed on a single point: involuntary microsaccades continuously move the eye in small jumps. We investigated a previously documented observation that microsaccades prevent illusory fading of perceived visual boundaries during fixation. We discovered that despite being connected, microsaccades and fading are sensitive to different stimulus features. Boundaries separating surfaces with more distinct colors inherently took longer to fade. Boundaries closer to the center of vision also took longer to fade, but only because microsaccades were more effective. These findings reveal new insight into how pervasive sensory sampling delivers a stable and detailed perceptual experience.

neuroscience↗

bioRxiv2020

Context-dependent odor learning requires the anterior olfactory nucleus

Learning to associate the context in which a stimulus occurs is an important aspect of animal learning. We propose that the association of an olfactory stimulus with its multisensory context is mediated by projections from ventral hippocampal networks (vHC) to the anterior olfactory nucleus (AON). Using a contextually-cued olfactory discrimination task, rats were trained to associate two olfactory stimuli with different responses depending on visuo-spatial context. Temporary lesions of the AON or vHC impaired performance on this task. In contrast, such lesions did not impair performance on a non-contextual olfactory discrimination task. Moreover, vHC lesions also impaired performance on an analogous contextually-cued texture discrimination task, whereas AON lesions affected only olfactory contextual associations. We describe a distinct role for the AON in olfactory processing, and conclude that early olfactory networks such as the olfactory bulb and AON function as multimodal integration networks rather than processing olfactory signals exclusively. Significance statementContextual information has long been known to play a key role in cognitive functions such as memory and decision making. We here show the contextual modulation of neural information in early primary sensory networks and its effects on contextually conditional learned behavior. We propose that projections from ventral hippocampus to anterior olfactory nucleus convey contextual information to the early olfactory system, modulating sensory representations and olfactory perception. Using behavioral pharmacology and computational modeling, we show how established network structures can mediate multimodal information and use context to make olfactory decisions.

neuroscience↗