Systematic errors in connectivity inferred from activity in strongly recurrent networks A Das, IR Fiete Nature Neuroscience 23 (10), 1286-1296, 2020 | 92 | 2020 |
A method to integrate and classify normal distributions A Das, WS Geisler Journal of Vision 21 (10), 1-1, 2021 | 51 | 2021 |
Process time comparison between GPU and CPU A Das, R Banerjee Hamburger Sternwarte, 2011 | 7 | 2011 |
A new method to compute classification error A Das, RC Walshe, WS Geisler Journal of vision 19 (10), 87-87, 2019 | 3 | 2019 |
Understanding camouflage detection A Das, W Geisler Journal of Vision 18 (10), 549-549, 2018 | 2 | 2018 |
Methods to integrate multinormals and compute classification measures A Das, WS Geisler arXiv e-prints, arXiv: 2012.14331, 2020 | 1 | 2020 |
The Thermal Ratchets Model for Transport of Diffusive Particles A Das, S Banerjee Indian Institute of Science Education and Research Kolkata, 2013 | 1 | 2013 |
Self-supervised models of human texture-discrimination A Das, W Geisler Journal of Vision 24 (10), 901-901, 2024 | | 2024 |
New methods for computing the generalized chi-square distribution A Das arXiv preprint arXiv:2404.05062, 2024 | | 2024 |
Predicting human camouflage detection with a principled computational model A Das, WS Geisler Journal of Vision 23 (9), 5530-5530, 2023 | | 2023 |
Camouflage detection: experiments and a principled theory A Das, W Geisler Journal of Vision 22 (14), 4069-4069, 2022 | | 2022 |
Camouflage detection & signal discrimination: theory, methods & experiments A Das | | 2022 |
A principled approach to the detection of camouflaged objects A Das, W Geisler Journal of Vision 20 (11), 580-580, 2020 | | 2020 |
Depth estimation from stereo image pairs A Das | | 2017 |
Transient dynamics in the thermal ratchets transport model A Das, S Banerjee arXiv preprint arXiv:1508.03628, 2015 | | 2015 |
Perspective: the maths of seeing A Das LAP LAMBERT Academic Publishing, 2010 | | 2010 |