rockpool.devices.dynapse.simulation.dynapsim

Low level DynapSE-2 simulator neuron model implementation Solves the characteristic equations to simulate the circuits with ptimizable parameters

References

[1] E. Chicca, F. Stefanini, C. Bartolozzi and G. Indiveri,

“Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems,” in Proceedings of the IEEE, vol. 102, no. 9, pp. 1367-1388, Sept. 2014, doi: 10.1109/JPROC.2014.2313954.

[2] C. Bartolozzi and G. Indiveri, “Synaptic dynamics in analog vlsi,” Neural

Comput., vol. 19, no. 10, p. 2581-2603, Oct. 2007. [Online]. Available: https://doi.org/10.1162/neco.2007.19.10.2581

[3] P. Livi and G. Indiveri, “A current-mode conductance-based silicon neuron for

address-event neuromorphic systems,” in 2009 IEEE International Symposium on Circuits and Systems, May 2009, pp. 2898-2901

[4] Dynap-SE1 Neuromorphic Chip Simulator for NICE Workshop 2021

https://code.ini.uzh.ch/yigit/NICE-workshop-2021

[5] Course: Neurormophic Engineering 1

Tobi Delbruck, Shih-Chii Liu, Giacomo Indiveri https://tube.switch.ch/channels/88df64b6

[6] Course: 21FS INI508 Neuromorphic Intelligence

Giacomo Indiveri https://tube.switch.ch/switchcast/uzh.ch/series/5ee1d666-25d2-4c4d-aeb9-4b754b880345?order=newest-first

Classes

DynapSim(*args, **kwargs)

DynapSim solves dynamical chip equations for the DPI neuron and synapse models.