An LGN Inspired Detect/Transmit Framework for High Fidelity Relay of Visual Information with Limited Bandwidth. - Nicholas Lesica; Garrett B. Stanley (BVAI, 2005)

Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise Correlations. - Dmitry R. Lyamzin; Jakob H. Macke; Nicholas A. Lesica (Frontiers Comput. Neurosci., 2010)

Optimization of population decoding with distance metrics. - Sonja B. Hofer; Thomas D. Mrsic-Flogel; Domonkos Horvath; Benedikt Grothe; Nicholas A. Lesica (Neural Networks, 2010)

Incremental Mutual Information: A New Method for Characterizing the Strength and Dynamics of Connections in Neuronal Circuits. - Abhinav Singh; Nicholas A. Lesica (PLoS Comput. Biol., 2010)

Harnessing the power of artificial intelligence to transform hearing healthcare and research. - Nicholas A. Lesica; Nishchay Mehta; Joseph G. Manjaly; Li Deng; Blake S. Wilson; Fan-Gang Zeng (Nat. Mach. Intell., 2021)

Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. - Yang Ni 001; Nicholas A. Lesica; Fan-Gang Zeng; Mohsen Imani (ICCAD, 2022)

Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities. - Yang Ni 001; Ye Yang; Hanning Chen; Xianhui Wang; Nicholas Lesica; Fan-Gang Zeng; Mohsen Imani (IEEE Trans. Biomed. Eng., 2024)

Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning. - Lloyd Pellatt; Fotios Drakopoulos; Shievanie Sabesan; Nicholas A. Lesica (CoRR, 2025)