Title :
Implementing spike-timing-dependent plasticity on SpiNNaker neuromorphic hardware
Author :
Jin, Xin ; Rast, Alexander ; Galluppi, Francesco ; Davies, Sergio ; Furber, Steve
Author_Institution :
Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK
Abstract :
This paper presents an efficient approach for implementing spike-timing-dependent plasticity (STDP) on the SpiNNaker neuromorphic hardware. The event-address mapping and the distributed synaptic weight storage schemes used in parallel neuromorphic hardware such as SpiNNaker make the conventional pre-post-sensitive scheme of STDP implementation inefficient, since STDP is triggered when either a pre- or post-synaptic neuron fires. An alternative pre-sensitive scheme approach is presented to solve this problem, where STDP is triggered only when a pre-synaptic neuron fires. An associated deferred event-driven model is developed to enable the pre-sensitive scheme by deferring the STDP process until there are sufficient history spike timing records. The paper gives detailed description of the implementation as well as performance estimation of STDP on multi-chip SpiNNaker machine, along with the discussion on some issues related to efficient STDP implementation on a parallel neuromorphic hardware.
Keywords :
brain models; neural nets; SpiNNaker neuromorphic hardware; distributed synaptic weight storage; event-address mapping; multichip SpiNNaker machine; parallel neuromorphic hardware; spike-timing-dependent plasticity; synaptic neuron fires; Delay; History; Mathematical model; Neurons; Program processors; Table lookup;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596372