Search Results - "O'Connell, Thomas P"

Predicting eye movement patterns from fMRI responses to natural scenes by O’Connell, Thomas P., Chun, Marvin M.

“…Eye tracking has long been used to measure overt spatial attention, and computational models of spatial attention reliably predict eye movements to natural…”
Get full text

Resting-State Functional Connectivity Predicts Cognitive Impairment Related to Alzheimer's Disease by Lin, Qi, Rosenberg, Monica D, Yoo, Kwangsun, Hsu, Tiffany W, O'Connell, Thomas P, Chun, Marvin M

“…Resting-state functional connectivity (rs-FC) is a promising neuromarker for cognitive decline in aging population, based on its ability to reveal functional…”
Get full text

Representational differences between line drawings and photographs of natural scenes: A dissociation between multi-voxel pattern analysis and repetition suppression by O’Connell, Thomas P., Sederberg, Per B., Walther, Dirk B.

“…Distributed representations of scene categories are consistent between color photographs (CPs) and line drawings (LDs) in the parahippocampal place area (PPA)…”
Get full text

Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain by Kumar, Sreejan, Ellis, Cameron T, O'Connell, Thomas P, Chun, Marvin M, Turk-Browne, Nicholas B

“…The extent to which brain functions are localized or distributed is a foundational question in neuroscience. In the human brain, common fMRI methods such as…”
Get full text

Dissociation of salience-driven and content-driven spatial attention to scene category with predictive decoding of gaze patterns by O'Connell, Thomas P, Walther, Dirk B

“…Scene content is thought to be processed quickly and efficiently to bias subsequent visual exploration.Does scene content bias spatial attention during…”
Get full text

Reconstructing Visual Cognition by O'Connell, Thomas P

“…Understanding visual processing in the mind and brain has been a focus of cognitive science since its inception. Psychology, neuroscience, and computer science…”
Get full text

Beyond Flatland: Pre-training with a Strong 3D Inductive Bias by Gupta, Shubhaankar, O'Connell, Thomas P, Egger, Bernhard

“…Pre-training on large-scale databases consisting of natural images and then fine-tuning them to fit the application at hand, or transfer-learning, is a popular…”
Get full text

Zero-shot neural decoding from rhesus macaque inferior temporal cortex using deep convolutional neural networks by O’Connell, Thomas P, Chun, Marvin M, Kreiman, Gabriel

Get full text

Approaching human 3D shape perception with neurally mappable models by O'Connell, Thomas P, Bonnen, Tyler, Friedman, Yoni, Tewari, Ayush, Tenenbaum, Josh B, Sitzmann, Vincent, Kanwisher, Nancy

“…Humans effortlessly infer the 3D shape of objects. What computations underlie this ability? Although various computational models have been proposed, none of…”
Get full text

Deep learning fMRI classification of temporal codes during naturalistic movie viewing and memory recall by Johnson, Matthew R, O’Connell, Thomas P, Chun, Marvin M, Johnson, Marcia K

Get full text

Getting aligned on representational alignment by Sucholutsky, Ilia, Muttenthaler, Lukas, Weller, Adrian, Peng, Andi, Bobu, Andreea, Kim, Been, Love, Bradley C, Grant, Erin, Groen, Iris, Achterberg, Jascha, Tenenbaum, Joshua B, Collins, Katherine M, Hermann, Katherine L, Oktar, Kerem, Greff, Klaus, Hebart, Martin N, Jacoby, Nori, Zhang, Qiuyi, Marjieh, Raja, Geirhos, Robert, Chen, Sherol, Kornblith, Simon, Rane, Sunayana, Konkle, Talia, O'Connell, Thomas P, Unterthiner, Thomas, Lampinen, Andrew K, Müller, Klaus-Robert, Toneva, Mariya, Griffiths, Thomas L

“…Biological and artificial information processing systems form representations that they can use to categorize, reason, plan, navigate, and make decisions. How…”
Get full text