|
 | Up a level |
Pramod, RT and Arun, SP (2016) Do computational models differ systematically from human object perception? In: 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), JUN 26-JUL 01, 2016, Las Vegas, NV, pp. 1601-1609.
Pramod, RT and Katti, H and Arun, SP (2022) Human peripheral blur is optimal for object recognition. In: Vision Research, 200 .
Jacob, G and Pramod, RT and Katti, H and Arun, SP (2021) Qualitative similarities and differences in visual object representations between brains and deep networks. In: Nature Communications, 12 (1).
Nanguneri, S and Pramod, RT and Efimova, N and Das, D and Jose, M and Svitkina, T and Nair, D (2019) Characterization of nanoscale organization of f-actin in morphologically distinct dendritic spines in vitro using supervised learning. In: eNeuro, 6 (4).
Pramod, RT and Arun, SP (2018) Symmetric Objects Become Special in Perception Because of Generic Computations in Neurons. In: Psychological Science, 29 (1). pp. 95-109.
Pramod, RT and Arun, SP (2016) Object attributes combine additively in visual search. In: JOURNAL OF VISION, 16 (5).
Pramod, RT and Arun, SP (2014) Features in visual search combine linearly. In: JOURNAL OF VISION, 14 (4). pp. 1-20.
Murty, Apurva Ratan N and Pramod, RT (2016) To What Extent Does Global Shape Influence Category Representation in the Brain? In: JOURNAL OF NEUROSCIENCE, 36 (15). pp. 4149-4151.
