Fluctuations of event occurrences in a variety of networks

• Date: November 14-15, 2017
• Venue: Room #307, Research Bldg #4, Yoshida Campus, Kyoto University
• Organizers:
    Shigeru Shinomoto (Kyoto University), Takaaki Aoki (Kagawa University)
    Ryota Kobayashi (NII), Taro Takaguchi (NICT), Hideaki Shimazaki (Kyoto University, HRI)
• Participation fee for the workshop: 1,000 JPY (on your arrival; we do not make out a receipt.)
• Registration: Please fill out this form.
• Contact: Kazuki Fujita (Kyoto University)

This workshop is cosponsored by JSPS Grant-in-Aid for Scientific Research on Innovative Areas "Correspondence and Fusion of Artificial Intelligence and Brain Science."

November 14th (Tuesday)

09:30-10:00 Registration

• ♦ Shigeru Shinomoto (Kyoto University) opening address.

10:00-12:00 Keynote Lecture

• ♦ Brent Doiron (Pittsburgh University) Circuit-based theory of shared variability across cortical populations.

12:00-13:30 Lunch

13:30-15:30 Keynote Lecture

• ♦ Manuel Gomez Rodriguez (Max Planck Institute) Machine learning for dynamic social network analysis.

15:30-16:00 Break

16:00-17:00

• ♦ Ryota Kobayashi (NII) Modeling information cascading process.
• --- discussion ---

17:30- Get-together meeting

• --- Ichikawa memorial hall ---

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November 15th (Wednesday)

09:30-12:00

• ♦ Manuel Gomez Rodriguez (Max Planck Institute) Leveraging the crowd to detect and reduce the spread of fake news and misinformation.
• ♦ Shigeru Shinomoto (Kyoto University) Inferring the source of fluctuations in event occurrence.

12:00-13:30 Lunch

13:30-16:00

• ♦ Brent Doiron (Pittsburgh University) Training assembly structure in recurrent neuronal networks with spike timing dependent plasticity.
• ♦ Hideaki Shimazaki (Kyoto University, HRI) Network architectures underlying variable, sparse population activity of neurons.

• --- discussion ---
• ♦ Shigeru Shinomoto (Kyoto University) closing address

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