Name
Abstract | ||
|---|---|---|
In this poster we describe a platform-based approach for rapid construction of FPGA-based simulation of neural microcircuits composed from integrate-and-fire (IAF) neurons. Our approach exploits high-level synthesis to bypass the high design complexity of RTL coding, and enables automatic optimization and design space exploration. We demonstrate the benefits of this approach by simulating a neural microcircuit that performs oscillatory path integration, which evidence suggests may be a critical building block of the navigation system inside a rodent's brain. Experiments show that our FPGA simulation engine can achieve up to 23x speedup and 450x energy reduction compared to commodity CPU. The methodology described in this paper should be broadly applicable for creating FPGA simulations over a wide range neural microcircuit architectures. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/FCCM.2013.22 | ICCAD |
Keywords | DocType | Citations |
fpga-based platform,fpga simulation engine,rtl coding,low-power simulation,fpga simulation,design space exploration,commodity cpu,fpga-based simulation,wide range neural microcircuit,high design complexity,platform-based approach,automatic optimization,neural microcircuit,customized construction,oscillatory path integration,design template,oscillatory neural microcircuit,engines,field programmable gate array,high level synthesis,register transfer level,computational modeling,pipelines,field programmable gate arrays | Conference | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jason Cong | 1 | 1027 | 87.55 |
| Hugh T. Blair | 2 | 22 | 6.43 |
| Di Wu | 3 | 36 | 5.37 |