معرفی
Eero Simoncelli is a Silver Professor at New York University, with affiliations in the Center for Neural Science, Department of Mathematics, Center for Data Science, and Department of Psychology. He serves as Scientific Director at the Center for Computational Neuroscience (FlatIron Institute, Simons Foundation).
- Co-developed graduate courses: Mathematical Tools for Neural and Cognitive Science (since 1999), Representation and Analysis of Visual Images (since 1998)
- Led summer courses: Computational Neuroscience: Vision (1992, 1994, 1996, 1998, 2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016, 2018)
Research focuses on computational modeling of vision, neural coding, and statistical analysis of sensory systems. His lab explores computational vision, including image processing techniques (wavelet transforms, steerable pyramids), neural population coding, and perceptual modeling. He has contributed to understanding divisive normalization in visual cortex and statistical models for image texture.
Key academic contributions include:
- Developing mathematical frameworks for neural data analysis
- Advancing signal processing techniques for visual neuroscience
- Creating educational resources on linear algebra, Fourier analysis, and Bayesian inference
Awards:
- IEEE Fellow for contributions to signal processing and computational neuroscience
Teaching resources include handouts on Geometric Linear Algebra, Linear Systems Theory, and Signal Detection Theory.
