Suggested further readings

Representational Similarity Analysis (RSA)¶

• Kriegeskorte, N., Mur, M., & Bandettini, P. A. (2008). Representational similarity analysis-connecting the branches of systems neuroscience. Frontiers in systems neuroscience, 2, 249.

• Kriegeskorte, N., & Diedrichsen, J. (2019). Peeling the onion of brain representations. Annual Review of Neuroscience, 42(1), 407–432.

Two-factor bootstrap¶

• Heiko H Schütt, Alexander D Kipnis, Jörn Diedrichsen, Nikolaus Kriegeskorte (2023) Statistical inference on representational geometries. eLife 12:e82566.

RSA Toolbox¶

• Nili, H., Wingfield, C., Walther, A., Su, L., Marslen-Wilson, W., & Kriegeskorte, N. (2014). A toolbox for representational similarity analysis. PLoS Computational Biology, 10(4).

• RSA Toolbox documentation

Natural Scenes Dataset and Algonauts¶

• Allen, E.J., St-Yves, G., Wu, Y., Breedlove, J.L., Prince, J.S., Dowdle, L.T., Nau, M., Caron, B., Pestilli, F., Charest, I., Hutchinson, J.B., Naselaris, T., Kay, K. A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nature Neuroscience (2021).

• Gifford AT, Lahner B, Saba-Sadiya S, Vilas MG, Lascelles A, Oliva A, Kay K, Roig G, Cichy RM. 2023. The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes. arXiv preprint, arXiv:2301.03198.

AlexNet¶

• Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems, 25.

Statistical Analysis¶

• Allefeld, C., & Haynes, J.-D. (2014). Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated Manova. NeuroImage, 89, 345–357.

• Walther, A., Nili, H., Ejaz, N., Alink, A., Kriegeskorte, N., & Diedrichsen, J. (2016). Reliability of dissimilarity measures for multi-voxel pattern analysis. NeuroImage, 137, 188–200.

Computation as transformation of representational geometries¶

• Williams AH, Kunz E, Kornblith S, Linderman S. (2021). Generalized shape metrics on neural representations. Advances in Neural Information Processing Systems.

• Lange RD, Kwok D, Matelsky J, Wang X, Rolnick DS, Kording KP. (2022). Neural networks as paths through the space of representations. arXiv:2206.10999.