Correlational and non-correlational processing in human vision. - Peter Neri (2000)

Visual Detection Under Uncertainty Operates Via an Early Static, Not Late Dynamic, Non-Linearity. - Peter Neri (Frontiers Comput. Neurosci., 2010)

Human pitch detectors are tuned on a fine scale, but are perceptually accessed on a coarse scale. - Eva R. M. Joosten; Peter Neri (Biol. Cybern., 2012)

The Elementary Operations of Human Vision Are Not Reducible to Template-Matching. - Peter Neri (PLoS Comput. Biol., 2015)

Dynamic Reweighting of Auditory Modulation Filters. - Eva R. M. Joosten; Shihab A. Shamma; Christian Lorenzi; Peter Neri (PLoS Comput. Biol., 2016)

The empirical characteristics of human pattern vision defy theoretically-driven expectations. - Peter Neri (PLoS Comput. Biol., 2018)

Retrospective on the SENSORIUM 2022 competition. - Konstantin F. Willeke; Paul G. Fahey; Mohammad Bashiri; Laura Hansel; Christoph Blessing; Konstantin-Klemens Lurz; Max F. Burg; Santiago A. Cadena; Zhiwei Ding; Kayla Ponder; Taliah Muhammad; Saumil S. Patel; et al. (NeurIPS (Competition and Demos), 2021)

Optimal templates for signal extraction by noisy ideal detectors and human observers. - Peter Neri (J. Comput. Neurosci., 2021)

Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations. - Peter Neri (Neural Networks, 2022)

Convolution goes higher-order: a biologically inspired mechanism empowers image classification. - Simone Azeglio; Olivier Marre; Peter Neri; Ulisse Ferrari (CoRR, 2024)

Higher-Order Convolution Improves Neural Predictivity in the Retina. - Simone Azeglio; Victor Calbiague Garcia; Guilhem Glaziou; Peter Neri; Olivier Marre; Ulisse Ferrari (CoRR, 2025)