pengzhouzp / odin

ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.

ODIN Spiking Neural Network (SNN) Processor

Copyright (C) 2016-2019, Université catholique de Louvain (UCLouvain), Belgium.

Digital HDL source code of ODIN is free: you can redistribute it and/or modify it under the terms of the Solderpad Hardware License v2.0, which extends the Apache v2.0 license for hardware use.

The software, hardware and materials distributed under this license are provided in the hope that it will be useful on an 'as is' basis, without warranties or conditions of any kind, either expressed or implied; without even the implied warranty of merchantability or fitness for a particular purpose. See the Solderpad Hardware License for more details.

You should have received a copy of the Solderpad Hardware License along with the ODIN HDL files (see LICENSE file). If not, see https://solderpad.org/licenses/SHL-2.0/.

ODIN is an online-learning digital spiking neuromorphic processor designed and prototyped in 28-nm FDSOI CMOS at Université catholique de Louvain (UCLouvain), published in 2019 in the IEEE Transactions on Biomedical Circuits and Systems journal. ODIN is based on a single 256-neuron 64k-synapse crossbar neurosynaptic core with the following key features:

• synapses embed spike-dependent synaptic plasticity (SDSP)-based online learning,
• neurons can phenomenologically reproduce the 20 Izhikevich behaviors.

ODIN is thus a versatile experimentation platform for learning at the edge, while demonstrating (i) record neuron and synapse densities compared to all previously-proposed spiking neural networks (SNNs) and (ii) the lowest energy per synaptic operation across previously-proposed digital SNNs.

In case you decide to use the ODIN HDL source code for academic or commercial use, we would appreciate if you let us know; feedback is welcome. Upon usage of the source code, please cite the associated paper (also available here):

C. Frenkel, M. Lefebvre, J.-D. Legat and D. Bol, "A 0.086-mm² 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS," IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 1, pp. 145-158, 2019.

Documentation

The documentation for ODIN is under a Creative Commons Attribution 4.0 International License (see doc/LICENSE file or http://creativecommons.org/licenses/by/4.0/).

Documentation on the contents, usage and features of the ODIN HDL source code can be found in the doc folder.