Lane McIntosh

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 6

Top Topics

Optimal Segmentation

Fully Unsupervised

Top Venues

Publications

Xuehao Ding, Dongsoo Lee, Satchel Grant, Heike Stein, Lane McIntosh, Niru Maheswaranathan, Stephen Baccus
A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamics. ACSCC (2021)
Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Surya Ganguli
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction. CoRR (2019)
Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen Baccus, Surya Ganguli
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction. NeurIPS (2019)
Lane McIntosh, Niru Maheswaranathan, David Sussillo, Jonathon Shlens
Recurrent Segmentation for Variable Computational Budgets. CVPR Workshops (2018)
Lane McIntosh, David Sussillo, Niru Maheswaranathan, Jonathon Shlens
Recurrent Segmentation for Variable Computational Budgets. CoRR (2017)
Lane McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen Baccus
Deep Learning Models of the Retinal Response to Natural Scenes. NIPS (2016)