Lane Thomas McIntosh
Lane Thomas McIntosh
PhD Candidate, Stanford University
Email verificata su stanford.edu - Home page
Titolo
Citata da
Citata da
Anno
Deep learning models of the retinal response to natural scenes
L McIntosh, N Maheswaranathan, A Nayebi, S Ganguli, S Baccus
Advances in neural information processing systems, 1369-1377, 2016
158*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
122018
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
112018
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
H Tanaka, A Nayebi, N Maheswaranathan, L McIntosh, S Baccus, ...
Advances in Neural Information Processing Systems, 8537-8547, 2019
92019
Deep learning models reveal internal structure and diverse computations in the retina under natural scenes. bioRxiv
N Maheswaranathan, LT McIntosh, DB Kastner, J Melander, L Brezovec, ...
URL: https://www. biorxiv. org/content/early/2018/06/14/340943. http://dx…, 2018
82018
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
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–12