140 citations · 209 across the 19 of their papers we have counts for
6 papers · 1 filter
Flexibility and Invariance of Object Representations in the Human Brain
Julien Dirani, Shankar Chawla, Leila Wehbe +1
The human brain represents objects in a way that is both invariant across instances and flexible enough to support different contexts and tasks. Yet how the brain reconciles these…
Estimating Brain Activity with High Spatial and Temporal Resolution using a Naturalistic MEG-fMRI Encoding Model
Beige Jerry Jin, Leila Wehbe
Current non-invasive neuroimaging techniques trade off between spatial resolution and temporal resolution. While magnetoencephalography (MEG) can capture rapid neural dynamics and…
Same Cause; Different Effects in the Brain
Mariya Toneva, Jennifer Williams, Anand Bollu +2
To study information processing in the brain, neuroscientists manipulate experimental stimuli while recording participant brain activity. They can then use encoding models to find…
Behavior measures are predicted by how information is encoded in an individual's brain
Jennifer Williams, Leila Wehbe
Similar to how differences in the proficiency of the cardiovascular and musculoskeletal system predict an individual's athletic ability, differences in how the same brain region en…
A roadmap to reverse engineering real-world generalization by combining naturalistic paradigms, deep sampling, and predictive computational models
Peer Herholz, Eddy Fortier, Mariya Toneva +3
Real-world generalization, e.g., deciding to approach a never-seen-before animal, relies on contextual information as well as previous experiences. Such a seemingly easy behavioral…
Inducing brain-relevant bias in natural language processing models
Dan Schwartz, Mariya Toneva, Leila Wehbe
Progress in natural language processing (NLP) models that estimate representations of word sequences has recently been leveraged to improve the understanding of language processing…