| Computational account of spontaneous activity as a signature of predictive coding V Koren, S Denève PLoS computational biology 13 (1), e1005355, 2017 | 49 | 2017 |
| 25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC neuroscience 17, 1-112, 2016 | 27 | 2016 |
| Pairwise synchrony and correlations depend on the structure of the population code in visual cortex V Koren, AR Andrei, M Hu, V Dragoi, K Obermayer Cell Reports 33 (6), 2020 | 16 | 2020 |
| Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines V Koren STAR protocols 2 (3), 100746, 2021 | 14 | 2021 |
| Reading-out task variables as a low-dimensional reconstruction of neural spike trains in single trials V Koren, AR Andrei, M Hu, V Dragoi, K Obermayer PloS one 14 (10), e0222649, 2019 | 11 | 2019 |
| Computational methods to study information processing in neural circuits V Koren, G Bondanelli, S Panzeri Computational and Structural Biotechnology Journal 21, 910-922, 2023 | 8 | 2023 |
| Biologically plausible solutions for spiking networks with efficient coding V Koren, S Panzeri Advances in neural information processing systems 35, 20607-20620, 2022 | 8 | 2022 |
| Choice can be predicted from populations of bursting neurons in superficial layers of monkey V1 V Koren, AR Andrei, M Hu, V Dragoi, K Obermayer Available at SSRN 3758207, 2020 | 2 | 2020 |
| Coding of low-dimensional variables with spiking neural networks V Koren | | 2020 |
Ming HuBaylor College of MedicineVerified email at bcm.edu