主要論文

1. T. Toyoizumi and L. F. Abbott,:
   "Beyond the edge of chaos: Amplification and temporal integration by recurrent networks in the chaotic regime"
   Physical Review E 84, 051908 (2011)
2. J. Gjorgjieva, T. Toyoizumi and S. J. Eglen,:
   "Burst-time-dependent plasticity robustly guides ON/OFF segregation in the lateral geniculate nucleus"
   PLoS Computational Biology 5, e1000618 (2009)
3. T. Toyoizumi and K. D. Miller:
   "Equalization of ocular dominance columns induced by an activity-dependent learning rule and the maturation of inhibition"
   J. Neuroscience 29, 6514-6525 (2009)
4. T. Toyoizumi, K. Rahnama Rad and L. Paninski,:
   "Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness"
   Neural Computation 21, 1203-1243 (2009)
5. Y. Sato, T. Toyoizumi and K. Aihara,:
   "Bayesian inference explains perception of unity and ventriloquism aftereffect: identification of common sources of audiovisual stimuli."
   Neural Computation 19, 3335-3355 (2007)
6. T. Toyoizumi, J.-P. Pfister, K. Aihara and W. Gerstner,:
   "Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution"
   Neural Computation 19, 639-671 (2007)
7. T. Toyoizumi, K. Aihara and S. Amari,:
   "Fisher Information for Spike-Based Population Decoding"
   Phys. Rev. Lett. 97, 098102 (2006)
8. T. Toyoizumi, J.-P. Pfister, K. Aihara and W. Gerstner,:
   "Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission"
   Proc. Natl. Acad. Sci. USA 102, 5239-5244 (2005)
9. T. Toyoizumi, J.-P. Pfister, K. Aihara and W. Gerstner,:
   "Spike-timing dependent Plasticity and mutual information maximization for a spiking neuron model"
   Advances in Neural Information processing Systems 17, 1409-1416 (2005)

メンバー