[1] E Zohary, M N Shadlen, and W T Newsome. "Correlated neuronal discharge rate and its implications for psychophysical performance". In: Nature 370.6485 (July 1994), pp. 140-143.
[2] M N Shadlen, K H Britten, W T Newsome, and J A Movshon. “A computational analysis of the relationship between neuronal and behavioral responses to visual motion”. In: J. Neurosci. 16.4 (Feb. 1996), pp. 1486–1510.
[3] Bruno B Averbeck, Peter E Latham, and Alexandre Pouget. “Neural correlations, population coding and computation”. In: Nature reviews neuroscience 7.5 (2006), pp. 358–366.
[4] Marlene R Cohen and Adam Kohn. "Measuring and interpreting neuronal correlations". In: Nat. Neurosci. 14.7 (June 2011), pp. 811-819.
[5] Stefano Panzeri, Monica Moroni, Houman Safaai, and Christopher D Harvey. "The structures and functions of correlations in neural population codes". In: Nat. Rev. Neurosci. 23.9 (Sept. 2022), pp. 551-567.
[6] L F Abbott and P Dayan. "The effect of correlated variability on the accuracy of a population code". In: Neural Comput. 11.1 (Jan. 1999), pp. 91-101.
[7] Rubén Moreno-Bote, Jeffrey Beck, Ingmar Kanitscheider, Xaq Pitkow, Peter Latham, and Alexandre Pouget. "Information-limiting correlations". In: Nat. Neurosci. 17.10 (Oct. 2014), pp. 1410-1417.
[8] Dimitri Yatsenko, Krešimir Josić, Alexander S Ecker, Emmanouil Froudarakis, R James Cotton, and Andreas S Tolias. "Improved estimation and interpretation of correlations in neural circuits". In: PLoS Comput. Biol. 11.3 (Mar. 2015), e1004083.
[9] Alex H. Williams and Scott W. Linderman. "Statistical neuroscience in the single trial limit". In: Current Opinion in Neurobiology 70 (2021). Computational Neuroscience, pp. 193-205. ISSN: 0959-4388.
[10] Oleg I Rumyantsev, Jérôme A Lecoq, Oscar Hernandez, Yanping Zhang, Joan Savall, Radosław Chrapkiewicz, Jane Li, Hongkui Zeng, Surya Ganguli, and Mark J Schnitzer. "Fundamental bounds on the fidelity of sensory cortical coding". In: Nature 580.7801 (Apr. 2020), pp. 100-105.
[11] Iain M. Johnstone and Debashis Paul. "PCA in High Dimensions: An Orientation". In: Proceedings of the IEEE 106.8 (2018), pp. 1277-1292.
[12] Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David Cox, Josh McDermott, James J DiCarlo, and Sueyeon Chung. "Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception". In: Advances in Neural Information Processing Systems. Ed. by M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan. Vol. 34. Curran Associates, Inc., 2021, pp. 15595-15607.
[13] Lyndon R. Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, and Alex H. Williams. "Representational dissimilarity metric spaces for stochastic neural networks". In: International Conference on Learning Representations. 2023.
[14] Adam Kohn and Matthew A Smith. "Stimulus dependence of neuronal correlation in primary visual cortex of the macaque". In: J. Neurosci. 25.14 (Apr. 2005), pp. 3661-3673.
[15] Marlene R. Cohen and William T. Newsome. "Context-Dependent Changes in Functional Circuitry in Visual Area MT". In: Neuron 60.1 (2008), pp. 162-173. ISSN: 0896-6273.
[16] Adrian Ponce-Alvarez, Alexander Thiele, Thomas D. Albright, Gene R. Stoner, and Gustavo Deco. "Stimulus-dependent variability and noise correlations in cortical MT neurons". In: Proceedings of the National Academy of Sciences 110.32 (2013), pp. 13162-13167.
[17] C Gourieroux, J Jasiak, and R Sufana. "The Wishart Autoregressive process of multivariate stochastic volatility". In: J. Econom. 150.2 (June 2009), pp. 167-181.
[18] Mohsen Pourahmadi. High-dimensional covariance estimation: with high-dimensional data. Vol. 882. John Wiley & Sons, 2013.