CCN: Publications

A simple normative network approximates local non-Hebbian learning in the cortex

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

Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objects

J. Xu, S. Farashahi, A. Soltani

Efficient coding of natural scene statistics predicts discrimination thresholds for grayscale textures

T. Tesileanu, J. Briguglio, A. Hermundstad, J. Victor, V. Balasubramanian

Neurons as Canonical Correlation Analyzers

D. Chklovskii, A. Sengupta, C. Pehlevan

Customer-server population dynamics in heavy traffic

R. Atar, P. Karmakar, D. Lipshutz

Neuronal Gaussian Process Regression

J. Friedrich

Neuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial Neural Networks

D. Chklovskii, C. Pehlevan

Bright and photostable chemigenetic indicator for extended in vivo voltage imaging

J. Friedrich, A. Abdelfattah, T. Kawashima, A. Singh, O. Novak, H. Liu, Y. Shuai, Y. Huang, L. Campagnola, S. Seeman, J. Yu, J. Zheng, J. Grimm, R. Patel, B. D. Mensh, L. Paninski, J. J. Macklin, G. J. Murphy, K. Podgorski, B. Lin, T. Chen, G. C. Turner, Z. Liu, M. Koyama, K. Svoboda, M. B. Ahrens, L. D. Lavis, E. R. Schreiter

Clustering is semi-definitely not that hard: Nonnegative SDP for manifold disentangling

M. Tepper, A. Sengupta, D. Chklovskii

Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics

V. Minden, C. Pehlevan, D. Chklovskii