Sugase-Miyamoto's Homepage

• I am a neuroscientist and am interested in information processing underlying visual perception, motivation, and memory. My field is systems neuroscience and addresses how neurons analyze information in the external world and guide behavior using animal models. Our studies revealed that neurons in the temporal visual cortex represented information about whether it is a face or not earlier than information about facial expression and identity, and that an associative memory model reproduced the response dynamics of face-responsive neurons. Another study using a matched filter model suggested that short-term visual memory was stored at synaptic weights of temporal cortex neurons. I am also interested in applying computational models to understand the algorithm of neural processing underlying associative memory formation and motivation.

• Matsumoto N, Taguchi Y, Shimizu M, Katakami S, Okada M, Sugase-Miyamoto Y, "Recurrent connections might be important for hierarchical categorization.", Frontiers in Systems Neuroscience, vol.16, 805990, 2022.
  
• Endo D, Kobayashi R, Bartolo R, Averbeck BB, Sugase-Miyamoto Y, Hayashi K, Kawano K, Richmond BJ, Shinomoto S. "A convolutional neural network for estimating synaptic connectivity from spike trains", Scientific Reports, doi: 10.1038/s41598-021-91244-w, 2021.
  
• Matsumoto N, Mototake Y, Kawano K, Okada M, Sugase-Miyamoto Y. " Comparison of neuronal responses in primate inferior-temporal cortex and feed-forward deep neural network model with regard to information processing of faces. ", J Comp Neurosci, doi: 10.1007/s10827-021-00778-5., 2021.
  
• Kuboki R, Matsumoto N, Sugase-Miyamoto Y, Richmond BJ, Shidara M. " Recency memory effects in Macaques during sequential delayed match-to-sample task with visual noise.", Neurosci Res, doi: 10.1016/j.neures.2019.08.002, 2020.
  
• Matsuda K., Nagami T., Sugase Y., Takemura A., Kawano K. " A Widely Applicable Real-Time Mono/Binocular Eye Tracking System Using a High Frame-Rate Digital Camera", In: Kurosu M. (eds) Human-Computer Interaction. User Interface Design, Development and Multimodality. HCI 2017. Lecture Notes in Computer Science, Springer, Cham, vol 10271, pp. 593–608, 2017.
  
• Kuboki R, Sugase-Miyamoto Y, Matsumoto N, Richmond BJ, Shidara M. " Information accumulation over time in monkey inferior temporal cortex neurons explains pattern recognition reaction time under visual noise", Frontiers in Integrative Neuroscience, doi: 10.3389/fnint.2016.00043, 2017.
  
• Sugase-Miyamoto Y, Matsumoto N, Ohyama K, Kawano K.　" Face Inversion Decreased Information about Facial Identity and Expression in Face-Responsive Neurons in Macaque Area TE", Journal of Neuroscience, vol. 34, pp. 12457-12469, 2014.
  
• Ohyama K, Sugase-Miyamoto Y, Matsumoto N, Sato C, Shidara M. " Small effect of upcoming reward outcomes on visual cue-related neuronal activity in macaque area TE during conditional associations", Neuroscience Research, vol. 88, pp.28-38, 2014.
  
• Ohyama K, Sugase-Miyamoto Y, Matsumoto N, Shidara M, Sato C. " Stimulus related activity during conditional associations in monkey perirhinal cortex neurons depends on upcoming reward outcome", Journal of Neuroscience, vol. 32 (48), pp. 17407-17419, 2012.
  
• Toda K, Sugase-Miyamoto Y, Mizuhiki T, Inaba K, Richmond BJ, Shidara M. " Differential Encoding of Factors Influencing Predicted Reward Value in Monkey Rostral Anterior Cingulate Cortex", PLoS One, Vol. 7 (1), e30190, 2012.
  
• Sugase-Miyamoto Y, Matsumoto N, and Kawano K. " Role of temporal processing stages by inferior temporal neurons in facial recognition", Front. Psychology, doi:10.3389/fpsyg.2011.00141, 2011.
  
• Matsumoto N, Akaho S, Sugase-Miyamoto Y, Okada M. " Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reduction", Neural networks, vol. 23, pp. 743-751, 2010.
  
• Katahira K, Matsumoto N, Sugase-Miyamoto Y, Okanoya K and Okada M. " Doubly sparse factor models for unifying feature transformation and feature selection", Journal of Physics: Conference Series, 233, 01202195, 2010.
  
• Sugase-Miyamoto Y, Liu Z, Wiener MC, Optican LM, Richmond BJ. " Short-term memory trace in rapidly adapting synapses of inferior temporal cortex", PLoS Computational Biology., vol. 4, e1000073, 2008.
  
• Sugase-Miyamoto Y, Richmond BJ. " Cue and reward signals carried by monkey entorhinal cortex neurons during reward schedules", Experimental Brain Research, vol. 181, pp. 267-76, 2007.
  
• Sugase-Miyamoto Y, Richmond BJ. " Neuronal signals in the monkey basolateral amygdala during reward schedules", Journal of Neuroscience, vol. 25, pp. 11071-83, 2005.
  
• Matsumoto N, Sugase-Miyamoto Y, Okada M. " Categorical signals in a single-trial neuron activity of the inferotemporal cortex", Neuroreport., vol. 16, pp. 1707-10, 2005.
  
• Matsumoto N, Okada M, Sugase-Miyamoto Y, Yamane S. " Neuronal mechanisms encoding global-to-fine information in inferior-temporal cortex", Journal of Computational Neuroscience, vol. 18, pp. 85-103, 2005.
  
• Matsumoto N, Okada M, Sugase-Miyamoto Y, Yamane S, Kawano K. " Population dynamics of face-responsive neurons in the inferior temporal cortex", Cerebral Cortex, vol. 15, pp. 1103-12, 2005.
  
• Sugase Y, Yamane S, Ueno S, and Kawano K. " Global and fine information coded by single neurons in the temporal visual cortex", Nature, vol. 400, pp. 869-873, 1999.
  
• Sugase Y, Hirono M, Kindle KL, and Kamiya R. " Cloning and characterization of the actin-encoding gene of Chlamydomonas reinhardtii", Gene, vol. 168, pp. 117-121, 1996.
  

2013
Selected member of US-Japan Connections Symposium for Women Leaders in Science, Technology and Engineering and Mathematics, “Crossing Boundaries with Informatics” from Basic Science to Social Infrastructure, The National Science Foundation (NSF) and the Japan Society for the Promotion of Science (JSPS)

1998
Research Award, Technical Committee on Biological and Physiological Engineering