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A Multichip Pulse-Based Neuromorphic Infrastructure and Its Application to a Model of Orientation Selectivity

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8 Author(s)
Chicca, E. ; Inst. of Neuroinformatics, Univ. of Zurich ; Whatley, A.M. ; Lichtsteiner, P. ; Dante, V.
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The growing interest in pulse-mode processing by neural networks is encouraging the development of hardware implementations of massively parallel networks of integrate-and-fire neurons distributed over multiple chips. Address-event representation (AER) has long been considered a convenient transmission protocol for spike based neuromorphic devices. One missing, long-needed feature of AER-based systems is the ability to acquire data from complex neuromorphic systems and to stimulate them using suitable data. We have implemented a general-purpose solution in the form of a peripheral component interconnect (PCI) board (the PCI-AER board) supported by software. We describe the main characteristics of the PCI-AER board, and of the related supporting software. To show the functionality of the PCI-AER infrastructure we demonstrate a reconfigurable multichip neuromorphic system for feature selectivity which models orientation tuning properties of cortical neurons

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Circuits and Systems I: Regular Papers, IEEE Transactions on  (Volume:54 ,  Issue: 5 )