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Alex Kell
Alex Kell
AI Research Scientist at Stealth Startup
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy
AJE Kell, DLK Yamins, EN Shook, SV Norman-Haignere, JH McDermott
Neuron 98 (3), 630-644. e16, 2018
5192018
Deep neural network models of sensory systems: windows onto the role of task constraints
AJE Kell, JH McDermott
Current opinion in neurobiology 55, 121-132, 2019
992019
Brain-like functional specialization emerges spontaneously in deep neural networks
K Dobs, J Martinez, AJE Kell, N Kanwisher
Science advances 8 (11), eabl8913, 2022
842022
Reduced language lateralization in autism and the broader autism phenotype as assessed with robust individual‐subjects analyses
O Jouravlev, AJE Kell, Z Mineroff, AJ Haskins, D Ayyash, N Kanwisher, ...
Autism Research 13 (10), 1746-1761, 2020
462020
Invariance to background noise as a signature of non-primary auditory cortex
AJE Kell, JH McDermott
Nature communications 10 (1), 3958, 2019
442019
Representational similarity precedes category selectivity in the developing ventral visual pathway
MA Cohen, DD Dilks, K Koldewyn, S Weigelt, J Feather, AJE Kell, B Keil, ...
NeuroImage 197, 565-574, 2019
342019
Measuring and modeling nonlinear interactions between brain regions with fMRI
S Anzellotti, E Fedorenko, AJE Kell, A Caramazza, R Saxe
Biorxiv, 074856, 2016
162016
Measuring and modeling nonlinear interactions between brain regions with fMRI. bioRxiv 074856
S Anzellotti, E Fedorenko, AJ Kell, A Caramazza, R Saxe
102017
Why are face and object processing segregated in the human brain? Testing computational hypotheses with deep convolutional neural networks
K Dobs, A Kell, I Palmer, M Cohen, N Kanwisher
Cognitive Computational Neuroscience, 2019
92019
Measuring and modeling nonlinear interactions between brain regions with fmri. bioRxiv
S Anzellotti, E Fedorenko, AJE Kell, A Caramazza, R Saxe
Preprint]. bioRxiv 74856, 2017
82017
Computational similarities between visual and auditory cortex studied with convolutional neural networks, fMRI, and electrophysiology
A Kell, D Yamins, S Norman-Haignere, D Seibert, H Hong, J DiCarlo, ...
Journal of Vision 15 (12), 1093-1093, 2015
82015
Brain-like functional specialization emerges spontaneously in deep neural networks. Sci. Adv. 8, eabl8913
K Dobs, J Martinez, AJE Kell, N Kanwisher
72022
Robustness to real-world background noise increases between primary and non-primary human auditory cortex
AJ Kell, J McDermott
The Journal of the Acoustical Society of America 141 (5_Supplement), 3896-3896, 2017
72017
Josh H. 370 McDermott. A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain 371 Responses, and Reveals a Cortical Processing Hierarchy
AJE Kell, DLK Yamins, EN Shook, SV Norman-Haignere
Neuron 98 (3), 630-644, 2018
62018
Listening into 2030 workshop: An experiment in envisioning the future of hearing and communication science
S Carlile, G Ciccarelli, J Cockburn, AC Diedesch, MK Finnegan, E Hafter, ...
Trends in Hearing 21, 2331216517737684, 2017
52017
Speech-trained neural networks behave like human listeners and reveal a hierarchy in auditory cortex
A Kell, D Yamins, S Norman-Haignere, J McDermott
Proceedings of the meeting of computational and systems neuroscience, 2016
42016
Using task-optimized neural networks to understand why brains have specialized processing for faces
K Dobs, AJE Kell, J Martinez, M Cohen, N Kanwisher
Journal of Vision 20 (11), 660-660, 2020
32020
Marmoset core visual object recognition behavior is comparable to that of macaques and humans
AJE Kell, SL Bokor, YN Jeon, T Toosi, EB Issa
Iscience 26 (1), 2023
22023
Brain organization, not size alone, as key to high-level vision: Evidence from marmoset monkeys
AJ Kell, SL Bokor, Y Jeon, T Toosi, EB Issa
2*2020
The functional organization of the ventral visual pathway in adults with autism
AJE Kell, K Koldewyn, NG Kanwisher
Journal of Vision 13 (9), 832-832, 2013
22013
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Articles 1–20