"H. Ikeda,T. Aonishi","White noise analysis for the correlation-type elementary motion detectors with half-wave rectifiers",,"NEURAL NETWORKS",,"Vol. 102",,"pp. 96-106",2018,Mar.
"池田英彬","ハエの動き視覚経路の情報表現の解明",,,,,,,2018,Mar.
"池田英彬","ハエの動き視覚経路の情報表現の解明",,,,,,,2018,Mar.
"池田英彬","ハエの動き視覚経路の情報表現の解明",,,,,,,2018,Mar.
"Hideaki Ikeda,Toru Aonishi","Performance Comparison of Motion Encoders: Hassenstein?Reichardt and Two-Detector Models","International Conference on Neural Information Processing (ICONIP 2017)","Neural Information Processing (Lecture Notes in Computer Science)","Springer","Vol. 10636",,"pp. 885-893",2017,Oct.
"池田英彬,青西亨","半波整流器を持つEMDモデルの白色ノイズ解析","ニューロコンピューティング研究会","電子情報通信学会技術研究報告",,"Vol. 116","No. 424","pp. 19-24",2017,Jan.
"Ikeda, H.,Suzuki, Y.,Morimoto, T.,Aonishi, T","Model selection of early vision system of Drosophila melanogaster",,"IPSJ Transactions on Mathematical Modeling and Its Applications",,"Vol. 9",,"  24-31",2016,Dec.
"鈴木力憲,池田英彬,関洋一,宮川博義,青西亨,森本高子","ショウジョウバエにおけるノイズ頑強な動き検知の神経基盤","第25回日本神経回路学会全国大会",,,,,,2015,Sept.
"池田英彬,鈴木力憲,森本高子,青西亨","ハエの動き検知細胞は逆φ刺激に応答するか-モデル選択による検証-","日本神経回路学会第25回全国大会",,,,,,2015,Sept.
"Yoshinori Suzuki,Hideaki Ikeda,Takuya Miyamoto,Hiroyoshi Miyakawa,Yoichi Seki,Toru Aonishi,Takako Morimoto","Noise-robust recognition of wide-field motion direction and the underlying neural mechanisms in Drosophila melanogaster",,"Scientific Reports",,"Vol. 5",,"pp. 10253-10265",2015,May
"池田英彬,鈴木力憲,森本高子,青西亨","ショウジョウバエの初期視覚系モデルの比較研究?","電子情報通信学会技術研究報告",,,"Vol. 114",,"pp. 53-58",2015,Jan.
"池田 英彬,鈴木 力憲,森本高子,青西 亨","ショウジョウバエの初期視覚系モデルの比較研究",,"2015年度人工知能学会全国大会論文集",,"Vol. 3F3-OS-19a-7",,"pp. web掲載",2015,
"Hideaki Ikeda,Yoshinori Suzuki,Takako Morimoto,Toru Aonishi","Model selection of early vision system of Drosophila melanogaster","日本神経回路学会第24回全国大会",,,,,,2014,Aug.
"池田英彬,鈴木力憲,森本高子,青西亨","ショウジョウバエの初期視覚系モデルの比較研究","電子情報通信学会技術研究報告",,,"Vol. 114",,"pp. 201-206",2014,June
"Hideaki Ikeda,Yoshinori Suzuki,Takako Morimoto,Toru Aonishi","Model selection of early vision system of Drosophila melanogaster",,"The proceedings of the 24th Annual Conference of the Japanese Neural Networks",,,,"pp. 66-67",2014,