Lane Thomas McIntosh
Lane Thomas McIntosh
PhD Candidate, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Deep learning models of the retinal response to natural scenes
LT McIntosh, N Maheswaranathan, A Nayebi, S Ganguli, SA Baccus
Advances in neural information processing systems 29, 1369, 2016
174*2016
Deep learning models reveal internal structure and diverse computations in the retina under natural scenes
N Maheswaranathan, L McIntosh, DB Kastner, J Melander, L Brezovec, ...
BioRxiv, 340943, 2018
262018
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
H Tanaka, A Nayebi, N Maheswaranathan, L McIntosh, SA Baccus, ...
arXiv preprint arXiv:1912.06207, 2019
162019
Recurrent segmentation for variable computational budgets
L McIntosh, N Maheswaranathan, D Sussillo, J Shlens
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
162018
Advances in neural information processing systems
L McIntosh, N Maheswaranathan, A Nayebi, S Ganguli, S Baccus, DD Lee, ...
62016
Deep learning models reveal internal structure and diverse computations in the retina under natural scenes, bioRxiv. 2018
N Maheswaranathan, LT McIntosh, DB Kastner, J Melander, L Brezovec, ...
Google Scholar, 340943, 0
5
Synchronous inhibitory pathways create both efficiency and diversity in the retina
M Manu, LT McIntosh, DB Kastner, BN Naecker, SA Baccus
bioRxiv, 214569, 2017
12017
Information Processing and Energy Dissipation in Neurons
L McIntosh
University of Hawaii at Manoa, 2012
12012
R. McIntosh.
R McIntosh
British medical journal 3 (5978), 311-311, 1975
11975
Revealing computational mechanisms of retinal prediction via model reduction
H Tanaka, A Nayebi, N Maheswaranathan, L McIntosh, SA Baccus, ...
2019
Understanding Early Vision: From White Noise to Natural Scenes
L McIntosh
Stanford University, 2018
2018
Video-Based Event Recognition!
I Ballard, L McIntosh
Learning Predictive Filters
L McIntosh
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Articles 1–13