PyMT5: multi-mode translation of natural language and Python code with transformers. - Colin B. Clement; Dawn Drain; Jonathan Timcheck; Alexey Svyatkovskiy; Neel Sundaresan (EMNLP (1), 2020)

Predictive coding in balanced neural networks with noise, chaos and delays. - Jonathan Kadmon; Jonathan Timcheck; Surya Ganguli (NeurIPS, 2020)

Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays. - Jonathan Timcheck; Jonathan Kadmon; Kwabena Boahen 001; Surya Ganguli (PLoS Comput. Biol., 2022)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - Jason Yik; Soikat Hasan Ahmed; Zergham Ahmed; Brian Anderson; Andreas G. Andreou; Chiara Bartolozzi; Arindam Basu; Douwe den Blanken; Petrut Bogdan; Sander M. Bohté; Younes Bouhadjar; Sonia M. Buckley; et al. (CoRR, 2023)

The Intel neuromorphic DNS challenge. - Jonathan Timcheck; Sumit Bam Shrestha; Daniel Ben Dayan Rubin; Adam Kupryjanow; Garrick Orchard; Lukasz Pindor; Timothy M. Shea; Mike Davies 002 (Neuromorph. Comput. Eng., 2023)

Efficient Video and Audio Processing with Loihi 2. - Sumit Bam Shrestha; Jonathan Timcheck; Edward Paxon Frady; Leobardo Campos-Macias; Mike Davies 002 (ICASSP, 2024)

A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing. - Svea Marie Meyer; Philipp Weidel; Philipp Plank; Leobardo Campos-Macias; Sumit Bam Shrestha; Philipp Stratmann; Jonathan Timcheck; Mathis Richter (NICE, 2025)

Eventprop training for efficient neuromorphic applications. - Thomas Shoesmith; James C. Knight; Balazs Meszaros; Jonathan Timcheck; Thomas Nowotny (NICE, 2025)

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity. - Alessandro Pierro; Steven Abreu; Jonathan Timcheck; Philipp Stratmann; Andreas Wild; Sumit Bam Shrestha (CoRR, 2025)