Charles Rizzo

According to our database, Charles Rizzo authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Neuromorphic Implementation of the DBSCAN Algorithm.

Charles P. Rizzo, James S. Plank

CoRR, 2024

Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing.

Charles P. Rizzo, Catherine D. Schuman, James S. Plank

CoRR, 2024

Embracing the Hairball: An Investigation of Recurrence in Spiking Neural Networks for Control.

Catherine D. Schuman, Charles P. Rizzo, Garrett S. Rose, James S. Plank

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

2023

Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design.

Hritom Das, Rocco D. Febbo, Charles P. Rizzo, Nishith N. Chakraborty, James S. Plank, Garrett S. Rose

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Neuromorphic Downsampling of Event-Based Camera Output.

Charles Rizzo, Catherine D. Schuman, James S. Plank

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques.

Charles Rizzo, Luke McCombs, Braxton Haynie, Catherine D. Schuman, James S. Plank

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

The Case for RISP: A Reduced Instruction Spiking Processor.

James S. Plank, Chaohui Zheng, Bryson Gullett, Nicholas D. Skuda, Charles Rizzo, Catherine D. Schuman, Garrett S. Rose

CoRR, 2022

Evaluating Encoding and Decoding Approaches for Spiking Neuromorphic Systems.

Catherine D. Schuman, Charles Rizzo, John McDonald-Carmack, Nicholas D. Skuda, James S. Plank

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Event-Based Camera Simulation Wrapper for Arcade Learning Environment.

Charles Rizzo, Catherine D. Schuman, James S. Plank

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Benchmark Comparisons of Spike-based Reconfigurable Neuroprocessor Architectures for Control Applications.

Adam Z. Foshie, Charles Rizzo, Hritom Das, Chaohui Zheng, James S. Plank, Garrett S. Rose

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022