Publications
Original Research Articles (Peer-Reviewed)
Sakano, Y., Wada, A., Ikeda, H., Saheki, Y., Tagai, L., Ando, H. (2021):
Human brain activity reflecting facial attractiveness from skin reflection.
Scientific Reports, Vol. 11, Article 3412. (open access)Ikeda, H., Saheki, Y., Sakano, Y., Wada, A., Ando, H., Tagai, L. (2020):
Facial radiance influences facial attractiveness and affective impressions of faces.
International Journal of Cosmetic Science, Vol. 43, pp. 144-157. (open access)Falcon, B., Wada, A., Callan, D., Parasuraman, R., Callan D.E. (2018):
Individual differences in learning correlate with modulation of brain activity induced by transcranial direct current stimulation.
PLOS ONE, Vol. 15, Vol. 5, Article e0197192. (open access)Callan, D., Falcon, B., Wada, A., Parasuraman, R. (2016):
Simultaneous tDCS-fMRI Identifies Resting State Networks Correlated with Visual Search Enhancement.
Frontiers in Human Neuroscience, Vol. 10, Article 72. (open access)Wada, A., Sakano, Y., Ando, H. (2016):
Differential responses to a visual self-motion signal in human medial cortical regions revealed by wide-view stimulation.
Frontiers in Psychology, Vol. 7, Article 309. (open access)Wada, A., Sakano, Y., Ando, H. (2014):
Human cortical areas involved in perception of surface glossiness.
NeuroImage, Vol. 98, pp. 243-257. (open access)Wada, A., and Takadama, K. (2009):
Is Gradient Descent Update Consistent with Accuracy-based Learning Classifier System?
Journal of Advanced Computational Intelligence & Intelligent Informatics, Vol. 13, No. 6, pp. 640-648.Wada, A., and Takadama, K. (2009):
Analyzing Strength-based Classifier System from Reinforcement Learning Perspective.
Journal of Advanced Computational Intelligence & Intelligent Informatics, Vol. 13, No. 6, pp. 631-639.Oshima, C., Wada, A., Ando, H., Matsuo, N., Yanagida, Y., Abe, S. (2008):
Temporary and Spatially Located Delivery of Olfactory Stimulus to Keep People Awake.
IPSJ journal, Vol. 49, No. 10, pp. 10, 3559-3566. (in Japanese)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2005):
Analyzing Real-valued Learning Classifier Systems: Validating Real-valued Representations and its Parameter Sensitivity for XCS.
Journal of Japanese Society for Artificial Intelligence (JSAI), Vol. 20, No. 1, pp. 57-66. (in Japanese)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2004):
Comparing Learning Classifier System and Reinforcement Learning with Function Approximation.
IEEJ Transactions on Electronics, Information and Systems, Vol. 124, No. 10, pp. 2034-2039.
Conference Papers (Peer-Reviewed)
Wada, A., Nishida, S., Ando, H., Nishimoto, S. (2018):
Modeling human visual responses with a U-shaped deep neural network for motion flow-field estimation.
2018 Conference on Cognitive and Computational Neuroscience (CCN2018), #1021. (Philadelphia, PA, USA, September 2018, open access )Wada, A., Takadama, K., Shimohara, K. (2012):
Bridging local and global: multi-agent reinforcement learning from function approximation perspective.
The International Conference on Humanized Systems (ICHS 2012), CD-ROM #OS02_1004. (Daejeon, Korea, August 2012)Wada, A., Takadama, K., Shimohara, K. (2006):
Dual-structured Classifier System Mediating XCS and Gradient Descent based Update.
Ninth International Workshop on Learning Classifier Systems (IWLCS 2006), CD-ROM #146. (Seattle, WA, USA, June 2006)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2005):
Analyzing Strength-based Classifier System from Reinforcement Learning Perspective.
7th International Conference on Artificial Evolution (EA’05), CD-ROM #ML04. (Lille, France, October 2005)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2005):
Learning Classifier System Equivalent with Reinforcement Learning with Function Approximation.
Eighth International Conference on Learning Classifier Systems (IWLCS2005), pp. 23-24. (Washington, DC., USA, June 2005)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2005):
Counter Example for Q-bucket-brigade under Prediction Problem.
Eighth International Conference on Learning Classifier Systems (IWLCS2005), pp. 24-29. (Washington, DC., USA, June 2005)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2004):
DCS: Learning Classifier System with Convergence and Generalization.
5th Asia-Pasific Conference on Simulated Evolution and Learning (SEAL'04), CD-ROM #199. (Busan, Korea, October 2004)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2004):
Comparison between Q-Learning and ZCS Learning Classifier System: From aspect of function approximation.
The 8th Conference on Intelligent Autonomous Systems (IAS-8), pp. 422-429. (Amsterdam, the Netherlands, March 2004)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2003):
Analyzing State Space Segmentation in Learning Classifier System.
SICE (The Society of Instrument and Control Engineers) Annual Conference 2003, pp. 2654-2658. (Fukui, Japan, August 2003)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2002):
Autonomous Symbol Acquisition through Agent Communication.
4th Asia-Pasific Conference on Simulated Evolution and Learning (SEAL '02), pp. 786-790. (Singapore, November 2003)
Review Articles
Ando, H., Wada, A., Sakano, Y., Callan, A., Mokhtari, P., Liu, J., Nishino, Y., Tsushima, Y., Nawa, N.E., Callan, D., Joachimczak, M. (2018):
Brain and Cognitive Mechanisms of Human Multisensory Information Processing and their Applications.
NICT Journal, Vol. 64, No. 1, pp. 39-49. (open access, written in Japanese)Sakano, Y., Wada, A., Ando, H. (2017):
Gloss processing in the human brain : towards evaluation of apparent surface quality based on brain activity measurement.
Image Laboratory, Vol. 28, No. 2, pp. 22-27. (written in Japanese)Sakano, Y., Wada, A., Ando, H. (2015):
Cortical Processing for Gloss Perception : Towards objective evaluation of apparent surface quality.
The journal of the Institute of Image Information and Television Engineers, Vol. 69, No. 6, pp. 502-505. (written in Japanese)Ando, H., Callan, A., Nawa, N.E., Nishino, Y., Liu, J., Wada, A., Sakano, Y. (2010):
Perceptual and Cognitive Mechanisms of Presence and its Evaluation Technology.
NICT Journal, Vol. 57, No. 1/2, pp. 159-168. (open access)
Book Chapters
Sakano, Y., Wada, A., Ando, H. (2018):
The mechanism of gloss perception and evaluation of perceived gloss.
In Development of emotionally engaging product and its evaluation, Technical Information Institute Co. Ltd., Tokyo , pp. 31-40. (written in Japanese)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2007):
Analyzing Parameter Sensitivity and Classifier Representations for Real-Valued XCS.
In Kovacs, T., Llorà, X., Takadama, K., Lanzi, P.L., Stolzmann, W., Wilson, S.W. (Eds.)
Learning Classifier Systems: International Workshops, IWLCS 2003-2005, Revised Selected Papers, LNCS (vol. 4399), Springer-Verlag, Berlin, pp. 1-16.Wada, A., Takadama, K., Shimohara, K., Katai, O. (2007):
Counter Example for Q-bucket-brigade under Prediction Problems.
In Kovacs, T., Llorà, X., Takadama, K., Lanzi, P.L., Stolzmann, W., Wilson, S.W. (Eds.)
Learning Classifier Systems: International Workshops, IWLCS 2003-2005, Revised Selected Papers, LNCS (vol. 4399), Springer-Verlag, Berlin, pp. 128-143.Wada, A., Takadama, K., Shimohara, K., Katai, O. (2005):
Learning Classifier System with Convergence and Generalization.
In Bull, L., and Kovacs, T. (Eds.)
Foundations of Learning Classifier Systems (Studies in Fuzziness & Soft Computing Series), Springer-Verlag, Berlin, pp. 285-304.Wada, A., Takadama, K., Shimohara, K., Katai, O. (2004):
Autonomous Symbol Acquisition through Agent Communication.
In Tan, K.C., Lim, M.H., Yao, X., Wang, L. (Eds.)
Recent Advance in Simulated Evolution and Learning, World Scientific, Singapore, pp. 711-728.
International Conference Presentations
Oral presentations (peer-reviewed)
Wada, A., Sakano, Y., Ando, H. (2014):
Neural correlates of vection under wide-view stereoscopic visual display.
The Asia-Pacific Conference on Vision (APCV2014), i-Perception, Vol. 5, pp. 257. (Takamatsu, Japan, July 2014)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2004):
ZCS with Convergence and Generalization.
The 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII) Workshop on Foundations of Learning Classifier Systems (FoLCS). (Birmingham, UK, September 2004)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2004):
Is Gradient Descent Method Effective for XCS? Analysis of Reinforcement Process in XCSG.
Seventh International Conference on Learning Classifier Systems (IWLCS2004). (Seattle, WA, USA, June 2004)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2003):
Analyzing Paramter Sensitivity and Classifier Representation for Real-valued XCS.
Sixth International Converence on Learning Classifier Systems (IWLCS2003). (Chicago, IL, USA, July 2003)
Poster presentations (peer-reviewed)
Liu, J., Callan, A., Wada, A., Ando, H. (2018):
Haptic-visual interactions for stiffness perception in the human cerebral cortex studied with an fMRI-compatible pinch device.
19th Annual International Multisensory Research Forum (IMRF 2018), Poster# P2.52. (Toronto, Canada, June 2018)Sakano, Y., Tsushima, Y., Wada, A., Ando, H. (2017):
Which regions in the human brain are involved in lightness perception?.
The 13th Asia-Pacific Conference on Vision (APCV 2017), i-Perception Vol. 8, Issue 2 suppl., pp.70-71. (Tainan, Taiwan, July 2017)Wada, A., Sakano, Y., Mizushina, H., Ando, H. (2016):
Neural response to object motion-in-depth independent of vergence eye movements.
The 46th annual meeting of the Society for Neuroscience (Neuroscience 2016), Poster #328.11. (Fremantle, Australia, July 2016)Wada, A., Sakano, Y., Ando, H. (2015):
Differential representation of a visual self-motion signal in human medial optic-flow regions revealed by multi-voxel pattern analysis.
The 12th Asia-Pacific Conference on Vision (APCV 2016), Abstract pp. 33. (San Diego, CA, USA, November 2016)Wada, A., Sakano, Y., Ando, H. (2015):
Development of wide-view stereoscopic visual presentation system for fMRI.
The 21st Annual Meeting of the Organization for Human Brain Mapping (OHBM 2015), Poster #4345. (Honolulu, HI, USA, June 2015)Callan, D., Falcone, B., Wada, A., Parasuraman, R. (2015):
Simultaneous tDCS-fMRI identifies resting state networks mediating visual search enhancement.
The 21st Annual Meeting of the Organization for Human Brain Mapping (OHBM 2015), Poster #3047. (Honolulu, HI, USA, June 2015)Falcone, B., Wada, A., Parasuraman, R., Callan, D. (2015):
Direct current brain stimulation induces changes in cortical activation mediating visual search: A concurrent tDCS and fMRI study.
The 22nd Annual Cognitive Neuroscience Society Meeting (CNS 2015), Poster #C11. (San Francisco, CA, USA, April 2015)Wada, A., Sakano, Y., Ando, H. (2011):
Neural substrates of linear vection induced by a large stereoscopic view: an fMRI study.
European Conference on Visual Perception (ECVP2011), Perception, Vol. 40, ECVP Abstract Supplement, pp. 149. (Toulouse, France, August 2011)Sakano, Y., Wada, A., Ando, H. (2011):
Localization of human cortical areas underlying glossiness perception: an fMRI study.
The Asia-Pacific Conference on Vision (APCV2011), i-Perception, Vol. 2, pp. 367. (Hong Kong, China, July 2011)Wada, A., Sakano, Y., Ando, H. (2010):
Baseline adjustment and cross validation affect prediction accuracy in multi-voxel fMRI analyses.
7th FENS Forum of European Neuroscience (FENS2010), Poster #207.15. (Amsterdam, the Netherlands, July 2010)Wada, A., Sakano, Y., Ando, H. (2010):
Identifying human brain areas activated by attention to glossiness.
The Seventeenth Annual Cognitive Neuroscience Society Meeting (CNS 2010), Poster #I106. (Montreal, Canada, April 2010)Wada, A., Sakano, Y., Ando, H. (2008):
Human brain areas involved in perception of surface gloss.
The 38th annual meeting of the Society for Neuroscience (Neuroscience 2008), Poster #260.4. (Washington, DC., USA, November 2008)Wada, A., Y. Nishino, A. Callan, Ando, H. (2007):
Applying Grid Computing to Multi-voxel Pattern Analysis for fMRI.
The 13th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2007), Poster #387. (Chicago, IL, USA, June 2007)Wada, A., Takadama, K., Shimohara, K., Katai, O. (2002):
Adaptive State Space Segmentation for LCS.
The 5th Pacific Rim International Workshop on Multi-Agents (PRIMA'02)
Summer School on Agents and Multiagent Systems. (Tokyo, Japan, August 2002)
Domestic Workshop Presentations
池田華子, 佐伯百合子, 和田充史, 坂野雄一, 安藤広志, 互恵子, 坂野雄一,
顔のつやがもたらす顔の魅力および印象の変化,
第23回日本顔学会大会(フォーラム顔学2018), pp. 1-8 (2018年9月).和田充史, 西田知史, 安藤広志, 西本伸志
U 字型深層ニューラルネットワークを用いたヒト視覚応答のモデル化,
日本視覚学会2018年夏季大会, Vision, Vol. 30, No. 8, pp. 125 (2018年7月).坂野雄一, 對馬淑亮, 和田充史, 安藤広志,
明度知覚に関与する人間の脳領域の同定の試み:fMRI研究,
日本視覚学会2018年冬季大会, Vision, Vol. 30, No. 1, pp. 51 (2018年1月).和田充史, 坂野雄一, 安藤広志,
輻輳眼球運動に依らない物体奥行き運動推定に関わる視覚野の同定,
電子情報通信学会ヒューマン情報処理(HIP)研究会, 信学技報, Vol. 117, No. 259, pp. 31-34 (2017年10月).和田充史, 坂野雄一, 安藤広志,
fMRI用広視野3D映像呈示システムの開発と評価,
電子情報通信学会ヒューマン情報処理(HIP)研究会, 信学技報, Vol. 116, No. 513, pp. 27-30 (2017年3月).坂野雄一, 和田充史, 安藤広志,
光沢知覚に関与する人間の脳部位の同定:fMRI研究,
質感のつどい第2回公開フォーラム, ポスター番号11 (2016年11月).和田充史, 坂野雄一, 水科晴樹, 安藤広志,
輻輳眼球運動の有無に依存しない物体奥行き運動に対する脳活動:fMRI計測による検討,
電子情報通信学会ヒューマン情報処理(HIP)研究会, 信学技報, Vol. 115, No. 345, pp. 51-54 (2015年12月). (ヒューマンコミュニケーション賞受賞)坂野雄一, 和田充史, 安藤広志,
光沢知覚の脳内メカニズムと質感評価,
映像情報メディア学会年次大会, 映像情報メディア学会誌, Vol. 69, No. 6, pp. 502-505 (2015年8月).和田充史, 坂野雄一, 安藤広志,
広視野ステレオ呈示下でのベクション刺激による脳賦活パターンの多ボクセルパターン解析,
日本視覚学会2014年冬季大会,Vision, Vol. 26, No. 1, pp. 63 (2014年1月).和田充史, 坂野雄一, 安藤広志,
広視野ステレオ呈示下における視覚誘導性自己運動感覚の神経相関,
日本 VR 学会 第 22 回 VR 心理学研究会,日本バーチャルリアリティ学会研究報告, Vol. 18, No. VRpsy01, pp. 49-52 (2013年10月).和田充史, 坂野雄一, 安藤広志,
fMRI マルチボクセル分析における予測精度に関する考察,
電子情報通信学会 ニューロコンピューティング研究会, 信学技報, Vol. 110, No. 149, NC2010-33, pp. 25-27 (2010年7月).和田充史, 坂野雄一, 安藤広志,
ステレオ呈示下における光沢知覚:fMRI 研究,
日本 VR 学会 第 15 回 VR 心理学研究会 (音響学会聴覚研究会 共催),聴覚研資, Vol. 40, No. 2, H-2010-20, pp. 97-102 (2010年2月).和田充史, 坂野雄一, 安藤広志,
光沢への注意による脳賦活部位の特定,
電子情報通信学会 ヒューマン情報処理研究会, 信学技報, Vol. 109, No. 345, HIP2009-111, pp. 85-90 (2009年12月).和田充史, 坂野雄一, 安藤広志,
fMRI による光沢知覚に関わる脳活動部位の解析,
電子情報通信学会 ヒューマン情報処理研究会, 信学技報, Vol. 108, No. 356, HIP2008-138, pp. 83-86 (2008年12月).和田充史, 安藤広志,
機械学習による脳機能画像からの心的状態復号化,
計測自動制御学会 第34回知能システムシンポジウム, 資料, pp. 109-114 (2007年3月).和田充史, 井上寛康, 高玉圭樹, 下原勝憲,
エージェントの協調関係と状態一般化に関する考察,
計測自動制御学会 システム・情報部門学術講演会 2005, 講演論文集, pp. 82-85 (2005年11月).井上寛康, 和田充史, 下原勝憲,
マルチエージェント強化学習のための経験共有手法,
計測自動制御学会 システム・情報部門学術講演会 2005, 講演論文集, pp. 86-90 (2005年11月).和田充史, 高玉圭樹, 下原勝憲 片井修,
学習分類子システムの汎化能力についての考察:強化学習における関数近似手法との接点,
第4回AI若手の集い MYCOM2003 (Meeting for Youth COMmunity 2003), pp. 74-75 (2003年5月).和田充史, 高玉圭樹, 下原勝憲 片井修,
エージェント間コミュニケーションによる自律的なシンボル獲得の研究,
第3回AI若手の集い MYCOM2002 (Meeting for Youth COMmunity 2002), pp. 25-32 (2002年6月).
Invited Talks
和田充史,
視覚による自己運動推定の神経基盤,
シンポジウム(1)「視覚誘導自己運動に基づいた空間知覚研究の将来」依頼講演, 日本視覚学会2017年夏季大会 (2017年8月).脳からひも解く「視る」仕組み 〜光沢知覚のヒト脳機能イメージング〜,
龍谷大学理工学部2014年度第3回数理情報学科「特別講義」 (2014年12月).学習分類子システムに関する研究,
21 世紀 COE プログラム「エージェントベース社会システム科学の創出」 2005 年度第 3 回適応システムグループ研究会 (2005年12月).進化型強化学習システムとしての学習分類子システムの分析,
電気学会・進化技術応用委員会委員各位, 第 2 回研究会 (2005年9月).
Grants
研究代表者: Daniel Callan, 研究分担者: 和田 充史,
Performance related changes in Resting State Neural Activity and Connectivity induces by tDCS,
日本学術振興機構(JSPS), 科学研究費助成事業(KAKEN) 基盤研究(C) (2018-2020).
研究代表者: 和田 充史,
視線の動きに依らない物体の奥行き運動の脳内処理解明,
日本学術振興機構(JSPS), 科学研究費助成事業(KAKEN) 若手研究(B) (2016-2018).
Patents
安藤広志, 和田充史, 坂野雄一, 清原元輔,
両眼広視野映像提示および視線計測装置,
日本国特許 第5636587号 特願2010-056775, (特許登録 2014年10月31日).