Real-time olivary neuron simulations on dataflow computing machines
Paper in proceeding, 2014

The Inferior-Olivary nucleus (ION) is a well-charted brain region, heavily associated with the sensorimotor control of the body. It comprises neural cells with unique properties which facilitate sensory processing and motor-learning skills. Simulations of such neurons become rapidly intractable when biophysically plausible models and meaningful network sizes (at least in the order of some hundreds of cells) are modeled. To overcome this problem, we accelerate a highly detailed ION network model using a Maxeler Dataflow Computing Machine. The design simulates a 330-cell network at real-time speed and achieves maximum throughputs of 24.7 GFLOPS. The Maxeler machine, integrating a Virtex-6 FPGA, yields speedups of ×92-102, and ×2-8 compared to a reference-C implementation, running on a Intel Xeon 2.66GHz, and a pure Virtex-7 FPGA implementation, respectively.

Author

G. Smaragdos

Erasmus University Rotterdam

C. Davies

Maxeler Technologies

C. Strydis

Erasmus University Rotterdam

Ioannis Sourdis

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Catalin Ciobanu

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

O. Mencer

Maxeler Technologies

Imperial College London

C.I. De Zeeuw

Erasmus University Rotterdam

Netherlands Institute for Neuroscience NIN - KNAW

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 8488 487-497
978-3-319-07517-4 (ISBN)

Subject Categories

Human Computer Interaction

DOI

10.1007/978-3-319-07518-1_34

ISBN

978-3-319-07517-4

More information

Latest update

12/1/2020