Taro Toyoizumi - Publications

RIKEN Brain Science Institute, Wakō-shi, Saitama-ken, Japan 
Computational Neuroscience

26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Shimizu G, Yoshida K, Kasai H, Toyoizumi T. Computational roles of intrinsic synaptic dynamics. Current Opinion in Neurobiology. 70: 34-42. PMID 34303124 DOI: 10.1016/j.conb.2021.06.002  0.309
2020 Kuśmierz Ł, Ogawa S, Toyoizumi T. Edge of Chaos and Avalanches in Neural Networks with Heavy-Tailed Synaptic Weight Distribution. Physical Review Letters. 125: 028101. PMID 32701351 DOI: 10.1103/Physrevlett.125.028101  0.349
2019 Humble J, Hiratsuka K, Kasai H, Toyoizumi T. Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder. Frontiers in Computational Neuroscience. 13: 38. PMID 31263407 DOI: 10.3389/Fncom.2019.00038  0.34
2017 Tajima S, Mita T, Bakkum DJ, Takahashi H, Toyoizumi T. Locally embedded presages of global network bursts. Proceedings of the National Academy of Sciences of the United States of America. PMID 28827362 DOI: 10.1073/Pnas.1705981114  0.722
2017 Keck T, Toyoizumi T, Chen L, Doiron B, Feldman DE, Fox K, Gerstner W, Haydon PG, Hübener M, Lee HK, Lisman JE, Rose T, Sengpiel F, Stellwagen D, Stryker MP, et al. Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 372. PMID 28093552 DOI: 10.1098/Rstb.2016.0158  0.722
2017 Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Toyoizumi T, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1  0.689
2016 Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Toyoizumi T, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6  0.543
2015 Tajima S, Yanagawa T, Fujii N, Toyoizumi T. Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding. Plos Computational Biology. 11: e1004537. PMID 26584045 DOI: 10.1371/Journal.Pcbi.1004537  0.714
2014 Toyoizumi T, Kaneko M, Stryker MP, Miller KD. Modeling the dynamic interaction of Hebbian and homeostatic plasticity. Neuron. 84: 497-510. PMID 25374364 DOI: 10.1016/J.Neuron.2014.09.036  0.644
2014 Toyoizumi T, Kaneko M, Stryker MP, Miller KD. 1SEP-06 Modeling the dynamical interaction of Hebbian and homeostatic plasticity(1SEP Cooperativity in shaping the nerve cell function,Symposium,The 52nd Annual Meeting of the Biophysical Society of Japan(BSJ2014)) Seibutsu Butsuri. 54: S124. DOI: 10.2142/Biophys.54.S124_6  0.62
2013 Toyoizumi T, Miyamoto H, Yazaki-Sugiyama Y, Atapour N, Hensch TK, Miller KD. A theory of the transition to critical period plasticity: inhibition selectively suppresses spontaneous activity. Neuron. 80: 51-63. PMID 24094102 DOI: 10.1016/J.Neuron.2013.07.022  0.464
2013 Amari S, Ando H, Toyoizumi T, Masuda N. State concentration exponent as a measure of quickness in Kauffman-type networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 87: 022814. PMID 23496575 DOI: 10.1103/Physreve.87.022814  0.455
2013 Buckley CL, Toyoizumi T. The role of environmental feedback in a brain state switch from passive to active sensing Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P395  0.335
2013 Lankarany M, Zhu W, Swamy M, Toyoizumi T. Trial-to-trial tracking of excitatory and inhibitory synaptic conductance using Gaussian-mixture Kalman filtering Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-O2  0.318
2011 Toyoizumi T, Abbott LF. Beyond the edge of chaos: amplification and temporal integration by recurrent networks in the chaotic regime. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 84: 051908. PMID 22181445 DOI: 10.1103/PhysRevE.84.051908  0.625
2011 Gilson M, Fukai T, Toyoizumi T. Interplay between dendritic non-linearities and STDP Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P338  0.393
2011 Toyoizumi T, Miyamoto H, Yazaki-Sugiyama Y, Hensch TK, Miller KD. Suppression of spontaneous activity by GABA circuit maturation is sufficient for developmental transitions in visual cortical plasticity Neuroscience Research. 71: e146. DOI: 10.1016/J.Neures.2011.07.631  0.442
2009 Gjorgjieva J, Toyoizumi T, Eglen SJ. Burst-time-dependent plasticity robustly guides ON/OFF segregation in the lateral geniculate nucleus. Plos Computational Biology. 5: e1000618. PMID 20041207 DOI: 10.1371/Journal.Pcbi.1000618  0.322
2009 Toyoizumi T, Rad KR, Paninski L. Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness. Neural Computation. 21: 1203-43. PMID 19718814 DOI: 10.1162/Neco.2008.04-08-757  0.334
2009 Toyoizumi T, Miller KD. Equalization of ocular dominance columns induced by an activity-dependent learning rule and the maturation of inhibition. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 6514-25. PMID 19458222 DOI: 10.1523/Jneurosci.0492-08.2009  0.457
2007 Sussillo D, Toyoizumi T, Maass W. Self-tuning of neural circuits through short-term synaptic plasticity. Journal of Neurophysiology. 97: 4079-95. PMID 17409166 DOI: 10.1152/Jn.01357.2006  0.721
2007 Toyoizumi T, Pfister JP, Aihara K, Gerstner W. Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution. Neural Computation. 19: 639-71. PMID 17298228 DOI: 10.1162/Neco.2007.19.3.639  0.729
2006 Toyoizumi T, Aihara K, Amari S. Fisher information for spike-based population decoding. Physical Review Letters. 97: 098102. PMID 17026405 DOI: 10.1103/Physrevlett.97.098102  0.496
2006 Pfister JP, Toyoizumi T, Barber D, Gerstner W. Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. Neural Computation. 18: 1318-48. PMID 16764506 DOI: 10.1162/Neco.2006.18.6.1318  0.717
2005 Toyoizumi T, Pfister JP, Aihara K, Gerstner W. Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission. Proceedings of the National Academy of Sciences of the United States of America. 102: 5239-44. PMID 15795376 DOI: 10.1073/Pnas.0500495102  0.726
2005 Toyoizumi T, Pfister JP, Aihara K, Gerstner W. Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model Advances in Neural Information Processing Systems 0.698
Show low-probability matches.