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Clustering RF Signals with the Growing Self-Organizing Map for Dynamic Spectrum Access

https://doi.org/10.1109/NAECON58068.2023.10366014

Konink-Donner, Elliott ; Ruen, Aaron ; Jha, Rashmi ( August 2023 , IEEE)
A Spiking Neuromorphic Architecture Using Gated-RRAM for Associative Memory

https://doi.org/10.1145/3461667

Jones, Alexander ; Ruen, Aaron ; Jha, Rashmi ( April 2022 , ACM Journal on Emerging Technologies in Computing Systems)

This work reports a spiking neuromorphic architecture for associative memory simulated in a SPICE environment using recently reported gated-RRAM (resistive random-access memory) devices as synapses alongside neurons based on complementary metal-oxide semiconductors (CMOSs). The network utilizes a Verilog A model to capture the behavior of the gated-RRAM devices within the architecture. The model uses parameters obtained from experimental gated-RRAM devices that were fabricated and tested in this work. Using these devices in tandem with CMOS neuron circuitry, our results indicate that the proposed architecture can learn an association in real time and retrieve the learned association when incomplete information is provided. These results show the promise for gated-RRAM devices for associative memory tasks within a spiking neuromorphic architecture framework.
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Fully BEOL-Compatible Switch Boxes Using RRAMs and Thin Film Transistors for Reconfigurable and Secure ICs

https://doi.org/10.1109/MWSCAS47672.2021.9531906

Ruen, Aaron ; Barua, Abhijeet ; Jha, Rashmi ; Emmert, John M. ( August 2021 , 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS))

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NeuroSOFM: A Neuromorphic Self-Organizing Feature Map Heterogeneously Integrating RRAM and FeFET

https://doi.org/10.1109/JXCDC.2021.3119489

Barve, Siddharth ; Mayersky, Joshua ; Ford, Andrew J. ; Jones, Alexander ; King, Bayley ; Ruen, Aaron ; Jha, Rashmi ( December 2021 , IEEE Journal on Exploratory Solid-State Computational Devices and Circuits)