Computational models of category-selective brain regions enable high-throughput tests of selectivity

NA Ratan Murty, P Bashivan, A Abate… - Nature …, 2021 - nature.com
Cortical regions apparently selective to faces, places, and bodies have provided important
evidence for domain-specific theories of human cognition, development, and evolution. But …

Modeling similarity and psychological space

BD Roads, BC Love - Annual Review of Psychology, 2024 - annualreviews.org
Similarity and categorization are fundamental processes in human cognition that help
complex organisms make sense of the cacophony of information in their environment. These …

Extensive sampling for complete models of individual brains

T Naselaris, E Allen, K Kay - Current Opinion in Behavioral Sciences, 2021 - Elsevier
Highlights•Trade-off between sampling individual variation versus experimental
variation.•Different studies have allocated resources differently.•We argue that wide …

Capturing the objects of vision with neural networks

B Peters, N Kriegeskorte - Nature human behaviour, 2021 - nature.com
Human visual perception carves a scene at its physical joints, decomposing the world into
objects, which are selectively attended, tracked and predicted as we engage our …

The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks

MS Halvagal, F Zenke - Nature neuroscience, 2023 - nature.com
Recognition of objects from sensory stimuli is essential for survival. To that end, sensory
networks in the brain must form object representations invariant to stimulus changes, such …

Texture-like representation of objects in human visual cortex

AV Jagadeesh, JL Gardner - Proceedings of the National …, 2022 - National Acad Sciences
The human visual ability to recognize objects and scenes is widely thought to rely on
representations in category-selective regions of the visual cortex. These representations …

Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions

G Tuckute, J Feather, D Boebinger, JH McDermott - Plos Biology, 2023 - journals.plos.org
Models that predict brain responses to stimuli provide one measure of understanding of a
sensory system and have many potential applications in science and engineering. Deep …

[HTML][HTML] A large and rich EEG dataset for modeling human visual object recognition

AT Gifford, K Dwivedi, G Roig, RM Cichy - NeuroImage, 2022 - Elsevier
The human brain achieves visual object recognition through multiple stages of linear and
nonlinear transformations operating at a millisecond scale. To predict and explain these …

Tasks and their role in visual neuroscience

K Kay, K Bonnen, RN Denison, MJ Arcaro, DL Barack - Neuron, 2023 - cell.com
Vision is widely used as a model system to gain insights into how sensory inputs are
processed and interpreted by the brain. Historically, careful quantification and control of …

What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?

C Conwell, JS Prince, KN Kay, GA Alvarez, T Konkle - BioRxiv, 2022 - biorxiv.org
The rapid development and open-source release of highly performant computer vision
models offers new potential for examining how different inductive biases impact …