| Overcoming catastrophic forgetting in neural networks J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ... Proceedings of the national academy of sciences 114 (13), 3521-3526, 2017 | 8671 | 2017 |
| Hybrid computing using a neural network with dynamic external memory A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ... Nature 538 (7626), 471-476, 2016 | 2018 | 2016 |
| Progress & compress: A scalable framework for continual learning J Schwarz, W Czarnecki, J Luketina, A Grabska-Barwinska, YW Teh, ... International conference on machine learning, 4528-4537, 2018 | 1002 | 2018 |
| Effective gene expression prediction from sequence by integrating long-range interactions Ž Avsec, V Agarwal, D Visentin, JR Ledsam, A Grabska-Barwinska, ... Nature methods 18 (10), 1196-1203, 2021 | 855 | 2021 |
| Unveiling the predictive power of static structure in glassy systems V Bapst, T Keck, A Grabska-Barwińska, C Donner, ED Cubuk, ... Nature physics 16 (4), 448-454, 2020 | 358 | 2020 |
| Unsupervised predictive memory in a goal-directed agent G Wayne, CC Hung, D Amos, M Mirza, A Ahuja, A Grabska-Barwinska, ... arXiv preprint arXiv:1803.10760, 2018 | 211 | 2018 |
| A probabilistic approach to demixing odors A Grabska-Barwińska, S Barthelmé, J Beck, ZF Mainen, A Pouget, ... Nature neuroscience 20 (1), 98-106, 2017 | 64 | 2017 |
| Establishment of a scaffold for orientation maps in primary visual cortex of higher mammals A Grabska-Barwińska, C von der Malsburg Journal of Neuroscience 28 (1), 249-257, 2008 | 47 | 2008 |
| Gated linear networks J Veness, T Lattimore, D Budden, A Bhoopchand, C Mattern, ... Proceedings of the AAAI conference on artificial intelligence 35 (11), 10015 …, 2021 | 45 | 2021 |
| A rapid and efficient learning rule for biological neural circuits E Sezener, A Grabska-Barwińska, D Kostadinov, M Beau, S Krishnagopal, ... BioRxiv, 2021.03. 10.434756, 2021 | 37 | 2021 |
| Dominant vertical orientation processing without clustered maps: early visual brain dynamics imaged with voltage-sensitive dye in the pigeon visual Wulst BSW Ng, A Grabska-Barwińska, O Güntürkün, D Jancke Journal of Neuroscience 30 (19), 6713-6725, 2010 | 36 | 2010 |
| Demixing odors-fast inference in olfaction A Grabska-Barwinska, J Beck, A Pouget, P Latham Advances in Neural Information Processing Systems 26, 2013 | 31 | 2013 |
| Online learning with gated linear networks J Veness, T Lattimore, A Bhoopchand, A Grabska-Barwinska, C Mattern, ... arXiv preprint arXiv:1712.01897, 2017 | 27 | 2017 |
| Orientation selective or not?–Measuring significance of tuning to a circular parameter A Grabska-Barwińska, BSW Ng, D Jancke Journal of neuroscience methods 203 (1), 1-9, 2012 | 26 | 2012 |
| Grabska-Barwi nska A Graves, G Wayne, M Reynolds, T Harley, I Danihelka A., Colmenarejo, SG, Grefenstette, E., Ramalho, T., Agapiou, J., et al, 471-476, 2016 | 25 | 2016 |
| Reply to huszár: The elastic weight consolidation penalty is empirically valid J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ... Proceedings of the National Academy of Sciences 115 (11), E2498-E2498, 2018 | 22 | 2018 |
| Contrast independence of cardinal preference: stable oblique effect in orientation maps of ferret visual cortex A Grabska‐Barwińska, C Distler, KP Hoffmann, D Jancke European Journal of Neuroscience 29 (6), 1258-1270, 2009 | 22 | 2009 |
| Nasal Chemosensory-Stimulation Evoked Activity Patterns in the Rat Trigeminal Ganglion Visualized by In Vivo Voltage-Sensitive Dye Imaging M Rothermel, B Shien Wei Ng, A Grabska-Barwińska, H Hatt, D Jancke PLoS One 6 (10), e26158, 2011 | 19 | 2011 |
| How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes? A Grabska-Barwińska, PE Latham Journal of computational neuroscience 36, 469-481, 2014 | 18 | 2014 |
| A model of event-related EEG synchronization changes in beta and gamma frequency bands A Grabska-Barwińska, J Żygierewicz Journal of theoretical biology 238 (4), 901-913, 2006 | 18 | 2006 |
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