土肥 英三郎

講演・口頭発表等

• 多感覚の能動的推論における精度変調と精神疾患:普遍的な生態的文脈での計算モデル

  土肥 英三郎, 長井 志江

  日本発達神経科学会 第14回学術集会 2025年11月9日
• 164

  視細胞による光検出の理論限界

  土肥 英三郎

  第5回 深奥質感 領域会議 2023年3月
• Probabilistic knowledge of event timing to optimize reward seeking behaviors

  E. Doi, J. T. Dudman

  Computational and Systems Neuroscience (CoSyNe) 2020年2月
• Optimal retinal population coding predicts inhomogeneous light adaptation and contrast sensitivity across the visual field

  E. Doi, M. S. Lewicki

  Vision Sciences Society (VSS) Annual Meeting 2014年5月
• Testing efficient coding in a complete and inhomogeneous retinal ganglion cell population

  Eizaburo Doi

  Symposium on Retinal coding in light of clinical applications, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany 2011年6月 招待有り
• 117

  Redundant representations in macaque retinal populations are consistent with efficient coding

  E. Doi, J. L. Gauthier, G. D. Field, J. Shlens, A. Sher, M. Greschner, T. A. Machado, K. Mathieson, D. E. Gunning, A. M. Litke, L. Paninski, E. J. Chichilnisky, E. P. Simoncelli

  Computational and Systems Neuroscience (CoSyNe) 2011年2月
• Testing efficient coding for a complete and inhomogeneous neural population

  Eizaburo Doi

  Seminars at Redwood Center for Theoretical Neuroscience, UC Berkeley 2010年10月 招待有り
• Testing efficient coding for a complete and inhomogeneous neural population

  E. Doi, J. L. Gauthier, G. D. Field, A. Sher, J. Shlens, M. Greschner, T. A. Machado, D. E. Gunning, K. Mathieson, A. M. Litke, L. Paninski, E. J. Chichilnisky, E. P. Simoncelli

  Gordon Research Conference: Sensory Coding and the Natural Environment – Neurobiology and Behavior under Rich Stimulation 2010年7月
• Analysis of efficient coding for a population of noisy linear neurons and a test with retinal receptive fields

  E. Doi, J. Gauthier, G. D. Field, A. Sher, J. Shlens, M. Greschner, M. Reschner, K. Mathieson, D. Gunning, A. M. Litke, L. Paninski, E. J. Chichilnisky, E. P. Simoncelli

  Workshop on Natural Environments Tasks and Intelligence (NETI) 2010年4月
• Diversity of efficient coding solutions for a population of noisy linear neurons

  E. Doi, L. Paninski, E. P. Simoncelli

  Computational and Systems Neuroscience (CoSyNe) 2010年2月
• Testing efficient coding: Projective (not receptive) fields are the key theoretical prediction

  E. Doi, G. Field, J. Gauthier, A. Sher, M. Greschner, J. Shlens, T. Machado, L. Paninski, D. Gunning, K. Mathieson, A. Litke, E. J. Chichilnisky, E. P. Simoncelli

  Computational and Systems Neuroscience (CoSyNe) 2010年2月
• Testing the efficiency of visual information coding in a complete population of retinal ganglion cells

  E. Doi, J. Gauthier, G. D. Field, A. Sher, J. Shlens, M. Greschner, M. Reschner, K. Mathieson, D. Gunning, A. M. Litke, L. Paninski, E. J. Chichilnisky, E. P. Simoncelli

  HHMI Scientific Meeting – Neurobiology: From Cells to Systems 2009年12月
• A theory of efficient coding in neural population with application to the optimality of retinal receptive fields

  E. Doi, J. Gauthier, G. D. Field, A. Sher, J. Shlens, M. Greschner, M. Reschner, K. Mathieson, D. Gunning, A. M. Litke, L. Paninski, E. J. Chichilnisky, E. P. Simoncelli

  Sloan-Swartz Centers for Theoretical Neurobiology Annual Meeting 2009年7月
• Efficient coding is consistent with the irregular shapes of retinal ganglion cell receptive fields

  E. Doi, J. Gauthier, G. D. Field, A. Sher, J. Shlens, M. Greschner, K. Mathieson, D. Gunning, A. M. Litke, L Paninski, E. J. Chichilnisky, E. P. Simoncelli

  Neuroscience (SfN) 2008年11月
• Generalizing information-maximization to enable direct comparison to retinal receptive fields

  E. Doi, L. Paninski, E. P. Simoncelli

  Gordon Research Conference: Sensory Coding and the Natural Environment 2008年8月
• Maximizing sensory information with neural populations of arbitrary size

  E. Doi, L. Paninski, E. P. Simoncelli

  Computational and Systems Neuroscience (CoSyNe) 2008年2月
• Mutual information or mean squared error?

  E. Doi

  NIPS Workshop: Decoding the neural code 2006年12月
• Retinal information processing

  E. Doi

  NIPS Workshop: Decoding the neural code 2006年12月
• Optimal filters under biological constraints predict population coding of retinal ganglion cells

  E. Doi, D. C. Balcan, M. S. Lewicki

  Neuroscience (SfN) 2006年10月
• A model of retinal ganglion cells that achieves de-blurring, de-noising, and robustness

  E. Doi, M. S. Lewicki

  Gordon Research Conference: Sensory Coding and the Natural Environment 2006年8月