Nancy Kanwisher

The paper identifies the superior parietal lobule as a substrate for physical world modeling by showing neurons that predict physical events and encode intended hand actions.

This study investigates whether causal reasoning in the human brain involves a unified system or domain-specific regions, finding distinct brain networks for social and physical causal reasoning.

The paper tests whether fMRI food selectivity reflects food properties or other image features, finding that responses are driven by contextual and material features rather than food alone.

The paper introduces a zero-shot evaluation framework to assess predictive models of the brain, revealing structured generalization limits and linking prediction performance to cognitive neuroscience findings.

This study finds scene-selective cortical regions in human infants as young as 2-5 months old, before independent navigation experience, suggesting early development driven by visual exposure.

The paper investigates whether the Physics Network and Multiple Demand system in the human brain are distinct, finding they are dissociable spatially and functionally.

The paper shows that music-selective brain regions respond more strongly to music with intact pitch and temporal structure compared to scrambled versions, indicating their sensitivity to both note-level and pattern-level musical structure.

The paper maps human cortical connectivity using es-fMRI and finds that functional similarity, not distance, primarily determines anatomical connections.

The paper identifies brain regions outside the language network involved in semantic processing of both linguistic and pictorial stimuli using fMRI experiments.

This study uses fMRI to show that physical reasoning involves a distinct brain network overlapping with the MD system but not the language system, suggesting it is not mediated by linguistic or exclusively domain-general abstract representations.

The paper shows that visual experience helps separate face and language responses in the ventral stream, while blind individuals show overlapping responses.

The paper investigates when face-selective cortical responses emerge in infants, finding early selectivity in FFA, STS, and MPFC but not OFA in young infants.

This study investigates how the occipital place area (OPA) represents navigational affordances and ego-motion using dynamic movie stimuli, finding that OPA responds to both cues and their conflicts, unlike PPA and MPA.

This study records multi-unit spiking activity in human visual cortex to investigate body and body part representation, finding strong selectivity for bodies and generalization to non-photographic depictions.

The paper shows that deep neural networks trained for face recognition exhibit behavioral signatures similar to human face perception, suggesting these properties arise from task optimization rather than being unique to faces.

The paper identifies privileged representational axes in both biological and artificial neural networks, showing alignment between DCNNs and perceptual cortices and benefits of axis-sensitive coding.

This study uses data-driven voxel decomposition to identify neural selectivities in human visual cortex, revealing a strong food-selective component not previously identified.

The paper investigates whether the brain or CNNs use invariant representations for physical stability judgments and finds such representations in fronto-parietal regions but not in the ventral visual pathway.

This study shows that deep neural networks spontaneously develop functional specialization for different tasks, similar to the human brain's organization.

This study uses child-friendly movies to identify age-related changes in brain regions selective for faces, scenes, and objects from age 3 to 12 years.

This paper shows that powerful transformer models predict neural and behavioral responses during language processing across datasets and modalities, supporting predictive processing as a core mechanism.

The paper shows that music-selective neural populations exist in individuals without musical training and respond to various music types and rhythms.

The paper uses intracranial recordings to show a neural population in human auditory cortex selectively responsive to musical song.

The paper assesses reduced language lateralization in autism and the broader autism phenotype using individual-subject analyses and finds it is a robust and spatially selective neural marker.

The study shows that the language network is involved but not essential for processing non-verbal event semantics using fMRI and aphasia patient comparisons.

The paper shows face-selectivity in the lateral fusiform gyrus of congenitally blind individuals through haptic exploration, indicating visual experience is not required for this selectivity.

Adding a wiring-length penalty to object-recognition training makes model inferior-temporal layers grow face-selective units, face patches, inter-patch connectivity and viewpoint invariance, but only under naturalistic training input.

This study investigates whether detecting social interactions is a rapid perceptual process or a slower post-perceptual inference using MEG decoding and computational modeling.

The paper finds that model performance on monkey IT data predicts performance on human IT data, outperforming ImageNet-based predictors.

This study investigates the time course of face perception by analyzing neural responses to faces and finds that gender and age information emerge before identity information, with familiar faces showing enhanced early processing.