Chris Ian Baker

This paper develops a method to align brain activity between humans and monkeys, revealing conserved visual areas and species-specific differences in higher-order processing.

The paper investigates how multidimensional object properties are represented in the human brain over time using MEG signals and behavioral data.

The paper investigates how real-world object experience affects brain activity during object recognition, finding that medial parietal regions show increased activation, while lateral regions do not.

The paper shows that gaze behavior and neural activity during memory recall of narrative events follow similar principles and are linked in their reinstatement.

This study shows that cortical representations of hand and lips remain stable before and after arm amputation, contradicting previous claims of large-scale reorganization.

This study fails to replicate the facilitatory effect of high-frequency tRNS on contralateral motion processing in the human middle temporal complex.

The paper investigates whether human medial parietal cortex (MPC) mirrors the categorical organization of ventral temporal cortex (VTC) during recall of people, places, and objects, finding no object-specific region in MPC but robust effects for people and places.

This study examines how retinotopic biases and category selectivity interact in human occipitotemporal cortex using fMRI data from the same participants.

The paper investigates whether visual cortex responses to graspable food items and tools are driven by shared behavioral affordances rather than distinct categories.

The paper maps behavior-derived object dimensions onto the human brain, showing distributed representations that outperform categories in predicting brain responses.

The paper investigates what makes images memorable by analyzing a large dataset of object images and finds that semantic features have a stronger influence than perceptual features on memorability, and that memorability is not simply tied to typicality.

THINGS-data provides multimodal neuroimaging and behavioral datasets for studying object representations, enabling hypothesis testing and cross-modal analysis.

This study compares biomimetic and arbitrary control strategies for bionic hand training, finding that both improve control and embodiment, with biomimetic offering early advantages and arbitrary showing better generalization.

This study investigates emotion perception in individuals with Moebius Syndrome, finding reduced sensitivity to facial expressions despite normal perceptual control tasks.

The paper examines the neural representations of episodic memories using real-world data from a video diary app, revealing a topography of memory features across the medial parietal lobe.

This paper provides a guide on using Bayes Factors for M/EEG decoding results, examining their impact on statistical assessment of neural data.

This study compares contralateral bias and face/scene selectivity in human occipitotemporal cortex using fMRI, finding distinct functional roles for lateral and ventral visual cortex.

This study maps word- and face-selective regions in human ventral temporal cortex using intracranial recordings and fMRI, revealing distinct temporal dynamics and spatial organization.

This study investigates how semantic inconsistencies in visual scenes affect memory recall, finding that inconsistent scenes are remembered more often but with less object detail.

The paper demonstrates that the human hippocampus exhibits a contralateral visual field bias, extending retinotopic sensitivity beyond early visual cortex.

The paper applies theta-burst TMS to the lateral occipital cortex and observes reduced BOLD responses across multiple visual category-selective regions in ventral temporal cortex, with effects not limited to scene-selective areas or specific stimulation sites.

This study quantifies memory differences between aphantasics and controls by analyzing drawings, finding aphantasics have object memory deficits but intact spatial memory.

The paper compares neural patterns during visual encoding and recall, finding distinct representational structures and localizations, with recall showing coarser information than encoding.

This study examines how reward and punishment affect sequence learning when learning is intentional versus unintentional, finding that punishment improves performance only in unintentional learning.

The paper introduces the THINGS database, containing 1,854 object concepts and 26,107 naturalistic images, validated through semantic embeddings and neural network analysis.

The paper assesses memorability of photographs in healthy controls, subjective cognitive decline, and mild cognitive impairment, identifying images with diagnostic potential.

This study uses MEG to decode symbolic and non-symbolic number stimuli, finding format-specific representations rather than a single abstract number representation.

The paper compares similarity judgments and fMRI responses in human visual cortex for naturalistic images, finding they reflect different visual properties and processing stages.

The paper identifies distinct subdivisions of human medial parietal cortex involved in memory recall of places and people using fMRI data.

This study examines how reward and punishment during skill training affect functional connectivity in the premotor cortex, showing task-specific changes in brain regions involved in learning.