INV-3: Spiking Neural Networks II

Session Type: Invited Lecture
Time: Monday, May 24, 11:15 - 12:45
Location: Port Hardy
Co-Chairs: Ralph Etienne-Cummings, Johns Hopkins University and Philipp Häfliger, University of Oslo
 
INV-3.1: SILICON SPIKE-BASED SYNAPTIC ARRAY AND ADDRESS-EVENT TRANSCEIVER
         R. Jacob Vogelstein; Johns Hopkins University
         Udayan Mallik; Johns Hopkins University
         Gert Cauwenberghs; Johns Hopkins University
 
INV-3.2: BIOLOGICALLY INSPIRED ARTIFICIAL NEURAL NETWORK ALGORITHM WHICH IMPLEMENTS LOCAL LEARNING RULES
         Ausra Saudargiene; University of Stirling
         Bernd Porr; University of Stirling
         Florentin Wörgötter; University of Stirling
 
INV-3.3: SPIKE BASED LEARNING WITH WEAK MULTI-LEVEL STATIC MEMORY
         Håvard Kolle Riis; University of Oslo
         Philipp Häfliger; University of Oslo
 
INV-3.4: SPIKE SYNCHRONIZATION IN A NETWORK OF SILICON INTEGRATE-AND-FIRE NEURONS
         Shih-Chii Liu; University of Zürich / ETH Zürich
         Rodney J. Douglas; University of Zürich / ETH Zürich
 
INV-3.5: A SPIKE-BASED ANALOGUE CIRCUIT THAT EMPHASISES TRANSIENTS IN AUDITORY STIMULI.
         Natasha Chia; University of Oxford
         Steve Collins; University of Oxford
 

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