| 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 29, 2016 | 337* | 2016 |
| 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 32, 2019 | 79 | 2019 |
| Deep learning models reveal internal structure and diverse computations in the retina under natural scenes N Maheswaranathan, LT McIntosh, DB Kastner, JB Melander, L Brezovec, ... BioRxiv, 340943, 2018 | 41 | 2018 |
| Interpreting the retinal neural code for natural scenes: From computations to neurons N Maheswaranathan, LT McIntosh, H Tanaka, S Grant, DB Kastner, ... Neuron 111 (17), 2742-2755. e4, 2023 | 35 | 2023 |
| 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 | 28 | 2018 |
| The dynamic neural code of the retina for natural scenes N Maheswaranathan, LT McIntosh, H Tanaka, S Grant, DB Kastner, ... BioRxiv, 340943, 2019 | 19 | 2019 |
| 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 | 12 | 2018 |
| Deep learning models reveal internal structure and diverse computations in the retina under natural scenes. bioRxiv, 340943 N Maheswaranathan, LT McIntosh, DB Kastner, J Melander, L Brezovec, ... | 6 | 2018 |
| Synchronous inhibitory pathways create both efficiency and diversity in the retina M Manu, LT McIntosh, DB Kastner, BN Naecker, SA Baccus Proceedings of the National Academy of Sciences 119 (4), e2116589119, 2022 | 5 | 2022 |
| A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamics X Ding, D Lee, S Grant, H Stein, L McIntosh, N Maheswaranathan, ... 2021 55th Asilomar Conference on Signals, Systems, and Computers, 287-291, 2021 | 4 | 2021 |
| Synchronous inhibitory pathways create both efficiency and diversity in the retina M Manu, LT McIntosh, DB Kastner, BN Naecker, SA Baccus biorxiv, 214569, 2017 | 2 | 2017 |
| Information Processing and Energy Dissipation in Neurons L McIntosh University of Hawaii at Manoa, 2012 | 1 | 2012 |
| Understanding Early Vision: From White Noise to Natural Scenes L McIntosh Stanford University, 2018 | | 2018 |
| Video-Based Event Recognition! I Ballard, L McIntosh | | |
| Revealing computational mechanisms of retinal prediction via model reduction H Tanaka, A Nayebi, N Maheswaranathan, L McIntosh, SA Baccus, ... Real Neurons {\&} Hidden Units: Future directions at the intersection of …, 0 | | |
| Learning Predictive Filters L McIntosh | | |
Niru MaheswaranathanMeta Reality Labs確認したメール アドレス: fb.com