CCN: Publications

Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models

Yixin Wang, Anthony Degleris, A. Williams, Scott W. Linderman

Foveated metamers of the early visual system

B. Broderick, G Rufo, J Winawer, E. P. Simoncelli

Neural network adaptive coding efficiency and stochastic representational geometry

L. Duong

Normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity

D. Lipshutz, Y. Bahroun, S. Golkar, A. Sengupta, D. Chklovskii

Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training

Y. Bahroun, Shagesh Sridharan, Atithi Acharya, D. Chklovskii, A. Sengupta

Learning multi-scale local conditional probability models of images

Z. Kadkhodaie, F. Guth, S. Mallat, E. P. Simoncelli

Spatial frequency selectivity in macaque LGN and V1

Paul Levy

Polar prediction of natural videos

P. Fiquet, E. P. Simoncelli

Catalyzing next-generation Artificial Intelligence through NeuroAI

Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky, Yoshua Bengio, Kwabena Boahen, Matthew Botvinick, D. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad Körding, Alexei Koulakov, Yann LeCun, Timothy Lillicrap, Adam Marblestone, Bruno Olshausen, Alexandre Pouget, Cristina Savin, Terrence Sejnowski, E. P. Simoncelli, Sara Solla, David Sussillo, Andreas S. Tolias, Doris Tsao

Catalyzing next-generation [Artificial Intelligence} through {NeuroAI}

A Zador, S Escola, B Richards, B Ölveczky, Y Bengio, K Baohen, M Botvinick, D. Chklovskii, A Churchland, C Clopath, J DiCarlo, S Ganguli, J Hawkins, K Körding, A Koulakov, Y LeCun, T Lillicrap, A Marblestone, B Olshausen, A Pouget, Cristina Savin, T Sejnowski, E. P. Simoncelli, S Solla, D Sussillo, AS Tolias, D Tsao