ニュース & イベント
会場：ひびきのキャンパス 講義室２
題目：「Real-time execution of multi-model Spiking Neural Networks based on parallel FPGA hardware」
講師： Prof. Jordi Madrenas（Department of Electronic Engineering, Technical University of Catalunya）
The efficient emulation of complex Spiking Neural Networks (SNNs) presents two main challenges: a) Massive parallelism of neurons and synapses; b) Complex connectivity among them. In order to efficiently emulate neurons and synapses, a parallel multiprocessor architecture based on simple custom processors operating on a Single-Instruction Multiple-Data (SIMD) basis is proposed. The main properties of such architecture, namely, software-programmable algorithms, parallel emulation of neural parameters, serial emulation of synapses and local parameter memory, support any spiking model and real-time execution with excellent scalability. To cope with the interconnect complexity, a serial pipelined ring topology based on Address Event Representation (AER) is proposed. The AER transmission allows channel multiplexing while still providing real-time operation, due to the low-frequency of biological spikes. The serial ring topology presents a much better scalability than parallel or serial common buses, because it only uses local, point-to-point lines.
