Pulse Amplitude Modulation for Electro-optical Spiking Neural Networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Standard Standard

Pulse Amplitude Modulation for Electro-optical Spiking Neural Networks. / Rajbhandari, Sujan; Uleru, George-Iulian; Hulea, Mircea et al.
2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). 2022.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

HarvardHarvard

Rajbhandari, S, Uleru, G-I, Hulea, M, Younus, OI & Ghassemlooy, Z 2022, Pulse Amplitude Modulation for Electro-optical Spiking Neural Networks. in 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP).

APA

Rajbhandari, S., Uleru, G.-I., Hulea, M., Younus, O. I., & Ghassemlooy, Z. (2022). Pulse Amplitude Modulation for Electro-optical Spiking Neural Networks. In 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

CBE

Rajbhandari S, Uleru G-I, Hulea M, Younus OI, Ghassemlooy Z. 2022. Pulse Amplitude Modulation for Electro-optical Spiking Neural Networks. In 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP).

MLA

Rajbhandari, Sujan et al. "Pulse Amplitude Modulation for Electro-optical Spiking Neural Networks". 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). 2022.

VancouverVancouver

Rajbhandari S, Uleru GI, Hulea M, Younus OI, Ghassemlooy Z. Pulse Amplitude Modulation for Electro-optical Spiking Neural Networks. In 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). 2022

Author

Rajbhandari, Sujan ; Uleru, George-Iulian ; Hulea, Mircea et al. / Pulse Amplitude Modulation for Electro-optical Spiking Neural Networks. 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). 2022.

RIS

TY - GEN

T1 - Pulse Amplitude Modulation for Electro-optical Spiking Neural Networks

AU - Rajbhandari, Sujan

AU - Uleru, George-Iulian

AU - Hulea, Mircea

AU - Younus, Othman Isam

AU - Ghassemlooy, Zabih

PY - 2022/9/1

Y1 - 2022/9/1

N2 - Spiking neurons represent the most accurate modelof the neural cells by using pulses and timing for informationprocessing and adaptation. Visible light communication can beleveraged to establish a wireless link between neurons in spikingnetworks even when neural areas are in relative motions.Typically, parallel transmission in electro-optical spiking neuralnetworks is performed using wavelength division multiplexing,which is limited by the number of wavelengths used andmultiple bandpass optical filters. This paper explores thepossibility of using multi-level pulse amplitude modulation(PAM) in multi-input-optical-axons (MIOA) integrated by theparallel neural paths in a spiking neuron network (SNN). Toevaluate PAM-MIOA, we implement an electro-optical SNNthat controls the force of two anthropomorphic fingers actuatedby the shape memory alloy (SMA)-based actuators. The voltagethreshold level in PAM is automatically adjusted based on thereference optical power. Results show that the electro-opticalSNN is able to hold an object when using PAM-MIOA even withthe link misalignment.

AB - Spiking neurons represent the most accurate modelof the neural cells by using pulses and timing for informationprocessing and adaptation. Visible light communication can beleveraged to establish a wireless link between neurons in spikingnetworks even when neural areas are in relative motions.Typically, parallel transmission in electro-optical spiking neuralnetworks is performed using wavelength division multiplexing,which is limited by the number of wavelengths used andmultiple bandpass optical filters. This paper explores thepossibility of using multi-level pulse amplitude modulation(PAM) in multi-input-optical-axons (MIOA) integrated by theparallel neural paths in a spiking neuron network (SNN). Toevaluate PAM-MIOA, we implement an electro-optical SNNthat controls the force of two anthropomorphic fingers actuatedby the shape memory alloy (SMA)-based actuators. The voltagethreshold level in PAM is automatically adjusted based on thereference optical power. Results show that the electro-opticalSNN is able to hold an object when using PAM-MIOA even withthe link misalignment.

M3 - Conference contribution

BT - 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)

ER -