| A kernel two-sample test A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola The Journal of Machine Learning Research 13 (1), 723-773, 2012 | 4888 | 2012 |
| A kernel method for the two-sample-problem A Gretton, KM Borgwardt, M Rasch, B Schölkopf, AJ Smola Advances in neural information processing systems, 513-520, 2006 | 2159 | 2006 |
| Integrating structured biological data by kernel maximum mean discrepancy KM Borgwardt, A Gretton, MJ Rasch, HP Kriegel, B Schölkopf, AJ Smola Bioinformatics 22 (14), e49-e57, 2006 | 1487 | 2006 |
| Phase-of-firing coding of natural visual stimuli in primary visual cortex MA Montemurro, MJ Rasch, Y Murayama, NK Logothetis, S Panzeri Current biology 18 (5), 375-380, 2008 | 409 | 2008 |
| A functional hypothesis for adult hippocampal neurogenesis: avoidance of catastrophic interference in the dentate gyrus L Wiskott, MJ Rasch, G Kempermann Hippocampus 16 (3), 329-343, 2006 | 368 | 2006 |
| Inferring spike trains from local field potentials MJ Rasch, A Gretton, Y Murayama, W Maass, NK Logothetis Journal of neurophysiology 99 (3), 1461-1476, 2008 | 261 | 2008 |
| Distinct inhibitory circuits orchestrate cortical beta and gamma band oscillations G Chen, Y Zhang, X Li, X Zhao, Q Ye, Y Lin, HW Tao, MJ Rasch, X Zhang Neuron 96 (6), 1403-1418. e6, 2017 | 259 | 2017 |
| A kernel method for the two-sample problem A Gretton, K Borgwardt, MJ Rasch, B Scholkopf, AJ Smola arXiv preprint arXiv:0805.2368, 2008 | 257 | 2008 |
| A distinct entorhinal cortex to hippocampal CA1 direct circuit for olfactory associative learning Y Li, J Xu, Y Liu, J Zhu, N Liu, W Zeng, N Huang, MJ Rasch, H Jiang, X Gu, ... Nature neuroscience 20 (4), 559-570, 2017 | 174 | 2017 |
| Perceptual training continuously refines neuronal population codes in primary visual cortex Y Yan+, MJ Rasch+, M Chen+, X Xiang, M Huang, S Wu, W Li* Nature neuroscience 17 (10), 1380-1387, 2014 | 131 | 2014 |
| From neurons to circuits: linear estimation of local field potentials M Rasch, NK Logothetis, G Kreiman Journal of Neuroscience 29 (44), 13785-13796, 2009 | 87 | 2009 |
| A kernel approach to comparing distributions A Gretton, KM Borgwardt, M Rasch, B Schölkopf, AJ Smola Proceedings of the National Conference on Artificial Intelligence 22 (2), 1637, 2007 | 68 | 2007 |
| Autapses enhance bursting and coincidence detection in neocortical pyramidal cells L Yin, R Zheng, W Ke, Q He, Y Zhang, J Li, B Wang, Z Mi, Y Long, ... Nature communications 9 (1), 4890, 2018 | 62 | 2018 |
| A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays MJ Rasch, D Moreda, T Gokmen, M Le Gallo, F Carta, C Goldberg, ... 2021 IEEE 3rd international conference on artificial intelligence circuits …, 2021 | 59 | 2021 |
| Training LSTM networks with resistive cross-point devices T Gokmen, MJ Rasch, W Haensch Frontiers in neuroscience 12, 745, 2018 | 59 | 2018 |
| Decentralized multisensory information integration in neural systems WH Zhang, A Chen, MJ Rasch, S Wu Journal of Neuroscience 36 (2), 532-547, 2016 | 53 | 2016 |
| Experience-dependent emergence of beta and gamma band oscillations in the primary visual cortex during the critical period G Chen, MJ Rasch, R Wang, X Zhang Scientific reports 5 (1), 17847, 2015 | 43 | 2015 |
| Selective modulation of axonal sodium channel subtypes by 5-HT1A receptor in cortical pyramidal neuron L Yin, MJ Rasch, Q He, S Wu, F Dou, Y Shu Cerebral Cortex 27 (1), 509-521, 2017 | 41 | 2017 |
| The face inversion effect in non-human primates revisited - an investigation in chimpanzees (Pan troglodytes) CD Dahl, MJ Rasch, M Tomonaga, I Adachi Scientific reports 3 (1), 2504, 2013 | 38 | 2013 |
| Developmental processes in face perception CD Dahl, MJ Rasch, M Tomonaga, I Adachi Scientific Reports 3, 2013 | 33 | 2013 |
Arthur GrettonGatsby Computational Neuroscience Unit and Google Deepmind在 gatsby.ucl.ac.uk 的电子邮件经过验证
