@inproceedings{caf5e888adbb4b69a122ce40bc3c3942,
title = "Neuron models in FPGA hardware: A route from high level descriptions to hardware implementations",
abstract = "This paper presents the LEMS2HDL toolsuite which converts Low Entropy Model Specification (LEMS) neuron/neural network models to synthesisable Hardware Description Language (HDL) hardware descriptions. The LEMS2HDL process will provide a route for the neuroscience community to perform accelerated Field-Programmable Gate Array (FPGA) hardware implementations of the growing library of LEMS neuron/neural network models. The paper describes the LEMS to HDL conversion process and references the previously reported vicilogic platform. The paper compares the resulting FPGA hardware simulation of three LEMS neuron models with the LEMS model simulation.",
keywords = "Biological Neural Networks, Brain-Inspired Computation, Field-Programmable Gate Arrays, Nervous System Emulation, NeuroML and Low Entropy Model Specification, Spiking Neural Networks",
author = "Finn Krewer and Aedan Coffey and Frank Callaly and Fearghal Morgan",
year = "2014",
doi = "10.5220/0005190501770183",
language = "English",
series = "NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics",
publisher = "INSTICC Press",
pages = "177--183",
editor = "Londral, \{Ana Rita\} and Pedro Encarnacao",
booktitle = "NEUROTECHNIX 2014 - Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics",
note = "2nd International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2014 ; Conference date: 25-10-2014 Through 26-10-2014",
}