| 'Artiphysiology'reveals V4-like shape tuning in a deep network trained for image classification DA Pospisil, A Pasupathy, W Bair Elife 7, e38242, 2018 | 78 | 2018 |
| Directing eye gaze enhances auditory spatial cue discrimination RK Maddox, DA Pospisil, GC Stecker, AKC Lee Current Biology 24 (7), 748-752, 2014 | 52 | 2014 |
| The unbiased estimation of the fraction of variance explained by a model DA Pospisil, W Bair PLoS computational biology 17 (8), e1009212, 2021 | 19 | 2021 |
| Comparing the brainʼs representation of shape to that of a deep convolutional neural network D Pospisil, A Pasupathy, W Bair Proceedings of the 9th EAI International Conference on Bio-inspired …, 2016 | 12 | 2016 |
| Accounting for biases in the estimation of neuronal signal correlation DA Pospisil, W Bair Journal of Neuroscience 41 (26), 5638-5651, 2021 | 6 | 2021 |
| From connectome to effectome: learning the causal interaction map of the fly brain DA Pospisil, MJ Aragon, S Dorkenwald, A Matsliah, AR Sterling, ... Biorxiv, 2023 | 2 | 2023 |
| Accounting for bias in the estimation of r2 between two sets of noisy neural responses DA Pospisil, W Bair Journal of Neuroscience 42 (50), 9343-9355, 2022 | 2* | 2022 |
| Preserved criterion flexibility in item recognition in older adults. D Olfman, LL Light, M Schmalstig, DA Pospisil, R Pendergrass, C Chung Psychology and Aging 32 (7), 675, 2017 | 2 | 2017 |
| Revisiting the high-dimensional geometry of population responses in visual cortex DA Pospisil, JW Pillow bioRxiv, 2024.02. 16.580726, 2024 | 1 | 2024 |
| Comparing response properties of V1 neurons to those of units in the early layers of a convolutional neural net D Pospisil, W Bair Journal of Vision 17 (10), 804-804, 2017 | 1 | 2017 |
| Evaluating and interpreting a convolutional neural net as a model of V4 DA Pospisil, A Pasupathy, W Bair | 1 | 2017 |
| Estimating shape distances on neural representations with limited samples DA Pospisil, BW Larsen, SE Harvey, AH Williams arXiv preprint arXiv:2310.05742, 2023 | | 2023 |
| The estimation and explanation of tuning curves in intermediate visual areas D Pospisil University of Washington, 2021 | | 2021 |
| Uninformative dynamic visual stimuli aid in segregating two similar acoustic stimuli, but not in detecting a single stimulus in noise RK Maddox, DA Pospisil, AK Lee Journal of the Acoustical Society of America 140 (4_Supplement), 3207-3208, 2016 | | 2016 |
| The Natural Tendency of Feed Forward Neural Networks to Favor Invariant Units DA Pospisil, W Bair Real Neurons {\&} Hidden Units: Future directions at the intersection of …, 0 | | |
