[19] Olivier Ledoit and Michael Wolf. "A well-conditioned estimator for large-dimensional covariance matrices". In: Journal of Multivariate Analysis 88.2 (2004), pp. 365-411. ISSN: 0047-259X.
[20] Mehdi Rahim, Bertrand Thirion, and Géel Varoquaux. "Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation". In: Medical image analysis 54 (2019), pp. 138-148.
[21] Jerome Friedman, Trevor Hastie, and Robert Tibshirani. "Sparse inverse covariance estimation with the graphical lasso". In: Biostatistics 9.3 (Dec. 2007), pp. 432-441. ISSN: 1465-4644.
[22] Ming Bo Cai, Nicolas W Schuck, Jonathan W Pillow, and Yael Niv. "Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias". In: PLoS Comput. Biol. 15.5 (May 2019), e1006299.
[23] Hsin-Hung Li, Thomas C. Sprague, Aspen H. Yoo, Wei Ji Ma, and Clayton E. Curtis. "Joint representation of working memory and uncertainty in human cortex". In: Neuron 109.22 (2021), 3699-3712.e6. ISSN: 0896-6273.
[24] Alexander Walther, Hamed Nili, Naveed Ejaz, Arjen Alink, Nikolaus Kriegeskorte, and Jorn Diedrichsen. "Reliability of dissimilarity measures for multi-voxel pattern analysis". In: Neuroimage 137 (Aug. 2016), pp. 188–200.
[25] Carsen Stringer, Michalis Michaelos, Dmitri Tsyboulski, Sarah E. Lindo, and Marius Pachitariu. "High-precision coding in visual cortex". In: Cell 184.10 (2021), 2767-2778.e15. ISSN: 0092-8674.
[26] MohammadMehdi Kafashan, Anna W. Jaffe, Selmaan N. Chettih, Ramon Nogueira, Inigo Arandia-Romero, Christopher D. Harvey, Ruben Moreno-Bote, and Jan Drugowitsch. "Scaling of sensory information in large neural populations shows signatures of information-limiting correlations". In: Nature Communications 12.1 (Jan. 2021), p. 473. ISSN: 2041-1723.
[27] M M Merzenich, P L Knight, and G L Roth. "Representation of cochlea within primary auditory cortex in the cat". In: J. Neurophysiol. 38.2 (Mar. 1975), pp. 231-249.
[28] Elena Kudryavitskaya, Eran Marom, Haran Shani-Narkiss, David Pash, and Adi Mizrahi. "Flexible categorization in the mouse olfactory bulb". In: Curr. Biol. 31.8 (Apr. 2021), 1616-1631.e4.
[29] Nir Even-Chen, Blue Sheffer, Saurabh Vyas, Stephen I Ryu, and Krishna V Shenoy. "Structure and variability of delay activity in premotor cortex". In: PLoS Comput. Biol. 15.2 (Feb. 2019), e1006808.
[30] Omer Hazon, Victor H Minces, David P Tomas, Surya Ganguli, Mark J Schnitzer, and Pablo E Jercog. "Noise correlations in neural ensemble activity limit the accuracy of hippocampal spatial representations". In: Nat. Commun. 13.1 (July 2022), p. 4276.
[31] Adrien Peyrache, Marie M Lacroix, Peter C Petersen, and György Buzsáki. "Internally organized mechanisms of the head direction sense". In: Nat. Neurosci. 18.4 (Apr. 2015), pp. 569-575.
[32] Christopher KI Williams and Carl Edward Rasmussen. Gaussian processes for machine learning. Vol. 2. 3. MIT press Cambridge, MA, 2006.
[33] Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen Ryu, Krishna V Shenoy, and Maneesh Sahani. "Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity". In: Advances in Neural Information Processing Systems. Ed. by D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou. Vol. 21. Curran Associates, Inc., 2008.
[34] Lea Duncker, Gergo Bohner, Julien Boussard, and Maneesh Sahani. "Learning interpretable continuous-time models of latent stochastic dynamical systems". In: Proceedings of the 36th International Conference on Machine Learning. Ed. by Kamalika Chaudhuri and Ruslan Salakhutdinov. Vol. 97. Proceedings of Machine Learning Research. Long Beach, California, USA: PMLR, 2019, pp. 1726-1734.
[35] Stephen Keeley, David Zoltowski, Yiyi Yu, Spencer Smith, and Jonathan Pillow. "Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations". In: International Conference on Machine Learning. PMLR. 2020, pp. 5177-5186.
[36] Virginia Rutten, Alberto Bernacchia, Maneesh Sahani, and Guillaume Hennequin. "Nonreversible Gaussian processes for identifying latent dynamical structure in neural data". In: Advances in Neural Information Processing Systems. Ed. by H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin. Vol. 33. Curran Associates, Inc., 2020, pp. 9622-9632.