Program and poster list
Program
20-Feb21-Feb
9h30
-
10h00
Registration
10h00
-
10h10
Opening session by Prof. Aihara 10h00
-
10h50
Prof. Indiveri
"Neuromorphic computing: analog electronic circuits for modeling neural processing and learning mechanisms in real-time"
10h10
-
11h00
Prof. Kohno
"Qualitative-modeling-based silicon neuron circuits"
10h50
-
11h10
coffee break
11h00
-
11h50
Prof. Hasler
"A Neuromorphic Hardware Systems Roadmap"
11h10
-
12h00
Prof. Horio
"Hybrid computation through high-dimensional chaotic neuro-dynamics"
11h50
-
13h30
lunch* 12h00
-
13h30
lunch*
13h30
-
14h20
Prof. Chiappalone
"Novel perspectives on the dialogue between neuronal and artificial systems"
13h30
-
14h20
Prof. Morie
"VLSI Implementation and Nanostructure for Time-domain Spike-based Computing"
14h20
-
15h10
Prof. Levi
"Biomimetic neural networks for hybrid experiments"
14h20
-
15h40
poster session and free discussion
15h10
-
15h40
coffee break
15h40
-
16h30
Prof. Tapson
"Synthesizing spiking neural networks in hardware"
16h30
-
17h20
Prof. Okuno
"Mixed analog-digital architecture for emulating biological visual systems"
* Oral and poster presentators are invited to lunch-on-discussion with Aihara FIRST project members.
Speakers
  • Prof. Michela CHIAPPALONE, Italian Institute of Technology, Italy
  • Prof. Jennifer HASLER, Georgia Institute of Technology, USA
  • Prof. Yoshihiko HORIO, Tokyo Denki University, Japan
  • Prof. Giacomo INDIVERI, ETH Zurich, Switzerland
  • Prof. Takashi MORIE, Kyushu Institute of Technology, Japan
  • Prof. Hirotsugu OKUNO, University of Osaka, Japan
  • Prof. Sylvain SAÏGHI, University of Bordeaux, France [Canceled]
  • Prof. Jonathan TAPSON, University of Western Sydney, Australia
  • Prof. Timothée LEVI, LIMMS/CNRS-IIS, University of Tokyo, Japan and University of Bordeaux, France
  • Prof. Takashi KOHNO, University of Tokyo, Japan
Posters
  • Maximum size of a poster is A0 (vertical).
  • [P1-1] Dr. Matthieu AMBROISE, University of Bordeaux, France,
    "Biomimetic CPG on FPGA for hybrid experiments"
  • [P1-2] Dr. Brian DEGNAN, Georgea Institute of Technology, USA,
    "Biologically-inspired, sparsely coded AER for neuromorphic systems"
  • [P1-3] Dr. Yuichi KATORI, FIRST, Aihara Innovative Mathematical Modelling Project, Japan,
    "Transitive Dynamics among Attractors on Neural Network with Short-Term Plasticity"
  • [P1-4] Dr. Timothée LELEU, FIRST, Aihara Innovative Mathematical Modelling Project, Japan,
    "Learning sequential patterns encoded by the propagation of neuronal avalanches in modular networks"
  • [P1-5] Dr. Jing LI, Institute of Industrial Science, University of Tokyo, Japan,
    "Digital Silicon Neuronal Network and its Application to Associative Memory"
  • [P1-6] Prof. Jordi MADRENAS, Universitat Politècnica de Catalunya, Spain,
    "Multiprocessor Emulation of Spiking Neural Networks for Digital Bioinspired Sensor Processing"
  • [P1-7] Prof. Keiji MIURA, Tohoku University, Japan,
    "Neural implementation of shape-invariant touch counter based on Euler calculus"
  • [P1-8] Ms. Mariko MIYAKE, Graduate school of Engineering, University of Tokyo, Japan,
    "A single board solution for silicon neuron chips with thermo-feedback system"
  • [P1-9] Dr. Kazuki NAKADA, The University of Electro-Communications, Japan,
    "Dynamical Systems Design of Silicon Neurons using Phase Reduction Method and Its Applications"
  • [P1-10] Mr. Mehmet Sirin OZDAS, Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland,
    "Towards real-time classification of neural recordings in neuromorphic hardware"
  • [P1-11] Dr. Valentina PASQUALE, Istituto Italiano di Tecnologia in Genova, Italy,
    "In vitro modular neuronal assemblies: experimental and modeling studies"
  • [P1-12] Mr. Takumi SASE, Graduate School of Information Science and Technology, University of Tokyo, Japan,
    "Bifurcation Analysis of Inhibitory Neural Network with Stochastic Neurons and Dynamic Synapses"
  • [P1-13] Mr. Yoshika OSAWA, Graduate School of Engineering, University of Tokyo, Japan,
    "Analysis of Associative Memory with DSSN model"