Biology subjects

Wilf, M.

Publications and source records attributed to Wilf, M..

3 recordsLinked to original sources

bioRxiv2026

From Consensus to Individual Differences: Typicality Links Brain and Behavior Across Naturalistic Contexts

Naturalistic behaviors largely lack objective measures of performance, making it difficult to quantify individual differences and establish links between brain and behavior. Here, we propose typicality, the degree to which an individual's response aligns with the group average, as a framework for identifying and relating stable individual differences across behavioral and neural domains. We propose that, when observers share similar objectives and constraints, convergence toward a consensus response may reflect convergence toward an effective or optimal solution, allowing typicality to approximate optimal processing even when objective ground truth is lacking. To evaluate this framework, we combined naturalistic movie viewing during fMRI with a behavioral battery across multiple tasks spanning social and non-social cognition. Behavioral and neural typicality proved highly stable within individuals while remaining sensitive to the specific computations engaged by different stimuli. Crucially, behavioral typicality was related to neural typicality across multiple domains, with different behavioral measures mapping onto neural systems relevant to the corresponding computations. Neural typicality also predicted objectively measured performance in motion prediction and face recognition tasks, extending the framework beyond consensus-based measures alone. Together, these findings establish typicality as a stable, computation-sensitive measure that links individual differences in behavior to the neural systems supporting them. More broadly, they suggest that the group consensus provides more than a reference for quantifying individual differences: under appropriate conditions, proximity to this shared response may provide an empirical approximation of optimal processing. Typically, therefore, offers a framework for linking brain and behavior in complex naturalistic contexts.

neuroscience↗

bioRxiv2025

Behavioural separation of face memory and face perception

A long-standing debate in neuropsychology concerns whether perception and memory function as independent systems or interact to support cognition. To investigate this, we developed the Face Memory and Perception (FMP) task, a novel paradigm designed to systematically disentangle whether and how these processes interact under different conditions. Across five independent datasets with over 900 participants in total, we observed consistent evidence that face perception and working memory operate independently when task demands are low, but in more complex conditions, these processes appear to interact. Notably, this interaction emerged only when the interference directly involved face-processing mechanisms, and did not arise from a general increase in cognitive load. Rather than the use of shared resources by overlapping cognitive processes, this interaction was driven by a shift in behavioural strategy from holistic to feature-based face processing as a result of maintenance-disrupting interference. These results underscore the fundamental independence of perception and working memory while also explaining some of the conditions under which interactions might be observed.

neuroscience↗

bioRxiv2021

Virtual reality-based sensorimotor adaptation shapes subsequent spontaneous and naturalistic stimulus-driven brain activity

Our everyday life summons numerous novel sensorimotor experiences, to which our brain needs to adapt in order to function properly. However, tracking plasticity of naturalistic behaviour and associated brain modulations is challenging. Here we tackled this question implementing a prism adaptation training in virtual reality (VRPA) in combination with functional neuroimaging. Three groups of healthy participants (N=45) underwent VRPA (with a spatial shift either to the left/right side, or with no shift), and performed fMRI sessions before and after training. To capture modulations in free-flowing, task-free brain activity, the fMRI sessions included resting state and free viewing of naturalistic videos. We found significant decreases in spontaneous functional connectivity between large-scale cortical networks - namely attentional and default mode/fronto-parietal networks - only for adaptation groups. Additionally, VRPA was found to bias visual representations of naturalistic videos, as following rightward adaptation, we found upregulation of visual response in an area in the parieto-occipital sulcus (POS) in the right hemisphere. Notably, the extent of POS upregulation correlated with the size of the VRPA induced after-effect measured in behavioural tests. This study demonstrates that a brief VRPA exposure is able to change large-scale cortical connectivity and correspondingly bias the representation of naturalistic sensory inputs. Significance statementIn the current work, we tested how a brief sensorimotor experience changes subsequent brain activity and connectivity. Using virtual reality (VR) as a tool for sensorimotor training opens a window for creating otherwise impossible sensory experiences and sensorimotor interactions. Specifically, we studied how VR adaptation training in ecological conditions modulates spontaneous functional connectivity and brain representation of naturalistic real-life-like stimuli. Previous adaptation studies used artificial, lab-designed setups both during adaptation and while measuring subsequent aftereffects. Testing brain response while observing naturalistic stimuli and in resting state allowed us to stay as close as possible to naturalistic real-life-like conditions, not confounded by performance during a task. The current work demonstrates how rapid changes in free-flowing brain activity and connectivity occur following short-term VR visuomotor adaptation training in healthy individuals. Moreover, we found a link between sensory responses to naturalistic stimuli and adaptation-induced behavioural aftereffect, thus demonstrating a common source of training-induced spatial recalibration, which affects both behaviour and brain representations of naturalistic stimuli. These findings might have meaningful implications both for understanding the mechanisms underlying visuomotor plasticity in healthy individuals and for using VR adaptation training as a tool for rehabilitating brain-damaged patients suffering from deficits in spatial representation.

neuroscience↗