Efficient encoding of motion is mediated by gap junctions in the fly visual system S Wang, A Borst, N Zaslavsky, N Tishby, I Segev PLoS computational biology 13 (12), e1005846, 2017 | 20 | 2017 |
Maximally efficient prediction in the early fly visual system may support evasive flight maneuvers S Wang, I Segev, A Borst, S Palmer PLoS computational biology 17 (5), e1008965, 2021 | 19 | 2021 |
Unsupervised cell identification on multidimensional X-ray fluorescence datasets S Wang, J Ward, S Leyffer, SM Wild, C Jacobsen, S Vogt Synchrotron Radiation 21 (3), 568-579, 2014 | 15 | 2014 |
Mandarin Chinese tone nucleus detection with landmarks. S Wang, GA Levow INTERSPEECH, 1101-1104, 2008 | 11 | 2008 |
Contrasting multi-lingual prosodic cues to predict verbal feedback for rapport S Wang, GA Levow Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 5 | 2011 |
Learning low-dimensional generalizable natural features from retina using a U-net S Wang, B Hoshal, EA de Laittre, O Marre, M Berry, S Palmer Advances in Neural Information Processing Systems 2022, 2022 | 4 | 2022 |
Improving tone recognition with combined frequency and amplitude modelling. S Wang, GA Levow INTERSPEECH, 2006 | 3 | 2006 |
Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method S Wang, SE Palmer arXiv preprint arXiv:2305.11957, 2023 | 2 | 2023 |
Employing boosting to compare cues to verbal feedback in multi-lingual dialog GA Levow, S Wang 2012 IEEE Spoken Language Technology Workshop (SLT), 67-72, 2012 | 2 | 2012 |
Gap junctions: the missing piece of the connectome GJ Gutierrez, S Wang Current Biology 33 (15), R819-R822, 2023 | 1 | 2023 |
Quantifying stimulus-relevant representational drift using cross-modality contrastive learning S Wang, EA de Laittre, J MacLean, SE Palmer arXiv preprint arXiv:2305.11953, 2023 | 1 | 2023 |
Modeling Broad Context for Tone Recognition with Conditional Random Fields. S Wang, GA Levow INTERSPEECH, 2289-2292, 2011 | 1 | 2011 |
Improving tone recognition with nucleus modeling and sequential learning S Wang The University of Chicago, 2010 | 1 | 2010 |
Axonal gap junctions in the fly visual system enable fast prediction for evasive flight maneuvers S Wang, A Borst, I Segev, S Palmer bioRxiv, 814319, 2019 | | 2019 |
Predictive information as an organization principle for both sensory and cortical circuitry Siwei Wang, Oren Amsalem, Alexander Borst, Idan Segev, Stephanie Palmer 27th Annual Computational Neuroscience Meeting (OCNS), 2018 | | 2018 |
Encoding of predictive information sheds light on circuit organization in both fly and mouse brain Siwei Wang, Stephanie Palmer, Alexander Borst, Idan Segev, Oren Amsalem Computational and Systems Neuroscience (Cosyne) 2018, 2018 | | 2018 |
27th Annual Computational Neuroscience Meeting (CNS* 2018): Part One D Wolpert, MB Zuckerman BMC Neuroscience 19 (2), 64, 2018 | | 2018 |
Early motion processing circuit uses gap junctions to achieve efficient stimuli encoding Siwei wang, Noga Zaslavsky, Alexander Borst, Naftali Tishby, Idan Segev Computational and Systems Neuroscience (Cosyne) 2017, 2017 | | 2017 |
Apriori Algorithm investigation in consumer behaviors SW Jiawei Luo, Manman Peng, Jingyan Chen Computer Engineering 29 (5), 2003 | | 2003 |
Application of continuous neural network in solving the high rate discrete problem J Luo, S Wang Computer Engineering and Design 4 (24), 10.3969/j.issn.1000-7024.2003.04.029, 2003 | | 2003 |