Optimal Oscillator Memory Networks. - Connor Bybee; Friedrich T. Sommer (NICE, 2022)

Integer Factorization with Compositional Distributed Representations. - Denis Kleyko; Connor Bybee; Christopher J. Kymn; Bruno A. Olshausen; Amir Khosrowshahi; Dmitri E. Nikonov; Friedrich T. Sommer; Edward Paxon Frady (NICE, 2022)

Deep Learning in Spiking Phasor Neural Networks. - Connor Bybee; Edward Paxon Frady; Friedrich T. Sommer (CoRR, 2022)

Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks. - Connor Bybee; Alexander Belsten; Friedrich T. Sommer (CoRR, 2022)

Efficient Optimization with Higher-Order Ising Machines. - Connor Bybee; Denis Kleyko; Dmitri E. Nikonov; Amir Khosrowshahi; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2022)

NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi. - Bodo Rueckauer; Connor Bybee; Ralf Goettsche; Yashwardhan Singh; Joyesh Mishra; Andreas Wild (ACM J. Emerg. Technol. Comput. Syst., 2022)

Oscillatory Neural Systems - Connor Bybee (2022)

Efficient Decoding of Compositional Structure in Holistic Representations. - Denis Kleyko; Connor Bybee; Ping-Chen Huang; Christopher J. Kymn; Bruno A. Olshausen; Edward Paxon Frady; Friedrich T. Sommer (Neural Comput., 2023)

Computing With Residue Numbers in High-Dimensional Representation. - Christopher J. Kymn; Denis Kleyko; Edward Paxon Frady; Connor Bybee; Pentti Kanerva; Friedrich T. Sommer; Bruno A. Olshausen (Neural Comput., 2024)