| Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning JP Pfister, T Toyoizumi, D Barber, W Gerstner Neural computation 18 (6), 1318-1348, 2006 | 323 | 2006 |
| Spatial representations of self and other in the hippocampus T Danjo, T Toyoizumi, S Fujisawa Science 359 (6372), 213-218, 2018 | 258 | 2018 |
| Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions T Keck, T Toyoizumi, L Chen, B Doiron, DE Feldman, K Fox, W Gerstner, ... Philosophical Transactions of the Royal Society B: Biological Sciences 372 …, 2017 | 247 | 2017 |
| Bayesian inference explains perception of unity and ventriloquism aftereffect: identification of common sources of audiovisual stimuli Y Sato, T Toyoizumi, K Aihara Neural computation 19 (12), 3335-3355, 2007 | 237 | 2007 |
| A theory of the transition to critical period plasticity: inhibition selectively suppresses spontaneous activity T Toyoizumi, H Miyamoto, Y Yazaki-Sugiyama, N Atapour, TK Hensch, ... Neuron 80 (1), 51-63, 2013 | 191 | 2013 |
| Beyond the edge of chaos: Amplification and temporal integration by recurrent networks in the chaotic regime T Toyoizumi, LF Abbott Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (5 …, 2011 | 177 | 2011 |
| Generalized Bienenstock–Cooper–Munro rule for spiking neurons that maximizes information transmission T Toyoizumi, JP Pfister, K Aihara, W Gerstner Proceedings of the National Academy of Sciences of the United States of …, 2005 | 169 | 2005 |
| Learning with three factors: modulating Hebbian plasticity with errors Ł Kuśmierz, T Isomura, T Toyoizumi Current opinion in neurobiology 46, 170-177, 2017 | 166 | 2017 |
| Spine dynamics in the brain, mental disorders and artificial neural networks H Kasai, NE Ziv, H Okazaki, S Yagishita, T Toyoizumi Nature Reviews Neuroscience 22 (7), 407-422, 2021 | 165 | 2021 |
| Modeling the dynamic interaction of Hebbian and homeostatic plasticity T Toyoizumi, M Kaneko, MP Stryker, KD Miller Neuron 84 (2), 497-510, 2014 | 150 | 2014 |
| A Bayesian psychophysics model of sense of agency R Legaspi, T Toyoizumi Nature communications 10 (1), 4250, 2019 | 107 | 2019 |
| Untangling brain-wide dynamics in consciousness by cross-embedding S Tajima, T Yanagawa, N Fujii, T Toyoizumi PLoS computational biology 11 (11), e1004537, 2015 | 101 | 2015 |
| Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution T Toyoizumi, JP Pfister, K Aihara, W Gerstner Neural computation 19 (3), 639-671, 2007 | 72 | 2007 |
| Edge of chaos and avalanches in neural networks with heavy-tailed synaptic weight distribution Ł Kuśmierz, S Ogawa, T Toyoizumi Physical Review Letters 125 (2), 028101, 2020 | 67 | 2020 |
| Synthetic agency: sense of agency in artificial intelligence R Legaspi, Z He, T Toyoizumi Current Opinion in Behavioral Sciences 29, 84-90, 2019 | 66 | 2019 |
| A local learning rule for independent component analysis T Isomura, T Toyoizumi Scientific reports 6 (1), 28073, 2016 | 62 | 2016 |
| Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness T Toyoizumi, KR Rad, L Paninski Neural computation 21 (5), 1203-1243, 2009 | 60* | 2009 |
| Self-tuning of neural circuits through short-term synaptic plasticity D Sussillo, T Toyoizumi, W Maass Journal of neurophysiology 97 (6), 4079-4095, 2007 | 60 | 2007 |
| Simultaneous silence organizes structured higher-order interactions in neural populations H Shimazaki, K Sadeghi, T Ishikawa, Y Ikegaya, T Toyoizumi Scientific reports 5 (1), 9821, 2015 | 56 | 2015 |
| Burst-time-dependent plasticity robustly guides ON/OFF segregation in the lateral geniculate nucleus J Gjorgjieva, T Toyoizumi, SJ Eglen PLoS computational biology 5 (12), e1000618, 2009 | 49 | 2009 |
Łukasz KuśmierzAllen InstituteVerified email at alleninstitute.org
