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Colin Conwell
Colin Conwell
Adresse e-mail validée de g.harvard.edu - Page d'accueil
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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, 2023
74*2023
Testing relational understanding in text-guided image generation
C Conwell, T Ullman
arXiv preprint arXiv:2208.00005, 2022
552022
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex
C Conwell, D Mayo, B Katz, MA Buice, GA Alvarez, A Barbu
Advances in Neural Information Processing Systems 34, 2021
27*2021
Intertemporal choice reflects value comparison rather than self-control: insights from confidence judgements
A Bulley, KM Lempert, C Conwell, M Irish, DL Schacter
Philosophical Transactions of the Royal Society B 377 (1866), 20210338, 2022
222022
On the use of cortical magnification and saccades as biological proxies for data augmentation
B Wang, D Mayo, A Deza, A Barbu, C Conwell
arXiv preprint arXiv:2112.07173, 2021
102021
The Perceptual Primacy of Feeling: Affectless machine vision models robustly predict human visual arousal, valence, and aesthetics
C Conwell, D Graham, EA Vessel
PsyArXiv, 2021
62021
Controlled assessment of CLIP-style language-aligned vision models in prediction of brain & behavioral data
C Conwell, JS Prince, CJ Hamblin, GA Alvarez
ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023
42023
Human-Like Judgments of Stability Emerge from Purely Perceptual Features: Evidence from Supervised and Unsupervised Deep Neural Networks
C Conwell, F Doshi, G Alvarez
2019 Conference on Cognitive Computational Neuroscience, 605-608, 2019
3*2019
Towards Disentangling the Roles of Vision & Language in Aesthetic Experience with Multimodal DNNs
C Conwell, CJ Hamblin
SVRHM 2022 Workshop@ NeurIPS, 0
2*
Revealing Vision-Language Integration in the Brain with Multimodal Networks
V Subramaniam, C Conwell, C Wang, G Kreiman, B Katz, I Cases, ...
arXiv preprint arXiv:2406.14481, 2024
12024
A sparse null code emerges in deep neural networks
BS Robinson, N Drenkow, C Conwell, M Bonner
Proceedings of UniReps: the First Workshop on Unifying Representations in …, 2024
12024
The Unreasonable Effectiveness of Word Models in Predicting High-Level Visual Cortex Responses to Natural Images
C Conwell, JS Prince, GA Alvarez, T Konkle
Conference on Computational Cognitive Neuroscience 2023, 2023
1*2023
Evaluation of Representational Similarity Scores Across Human Visual Cortex
F Acosta, C Conwell, S Sanborn, DA Klindt, N Miolane
UniReps: the First Workshop on Unifying Representations in Neural Models, 2023
12023
Is visual cortex really “language-aligned”? Perspectives from Model-to-Brain Comparisons in Human and Monkeys on the Natural Scenes Dataset
C Conwell, E MacMahon, K Vinken, S Sharma, A Jagadeesh, JS Prince, ...
Conference on Computational Cognitive Neuroscience 2024, 2024
2024
Modeling dynamic social vision highlights gaps between deep learning and humans
K Garcia, E McMahon, C Conwell, MF Bonner, L Isik
OSF, 2024
2024
A case for sparse positive alignment of neural systems
JS Prince, C Conwell, GA Alvarez, T Konkle
ICLR 2024 Workshop on Representational Alignment, 2024
2024
Uninstructed Structure: Self-Supervised Deep Learning as a Steppingstone to Object Invariance, Intuitive Physics, and the Experience of Beauty
C Conwell
Harvard University, 2022
2022
Unsupervised Representation Learning Facilitates Human-like Spatial Reasoning
K Lakshminarasimhan, C Conwell
SVRHM 2021 Workshop@ NeurIPS, 2021
2021
Exploring untrained neural network architectures for modeling higher visual cortex representations
Y Mehta, A Kazemian, C Conwell, MF Bonner
High-dimensional alignment of neural networks and visual cortex
T Shen, C Conwell, MF Bonner
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