[41] Ashish Vavwani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. Attention is all you need. Advances in neural information processing systems, 30, 2017.
[42] S-I Amari. Learning patterns and pattern sequences by self-organizing nets of threshold elements. IEEE Transactions on computers, 100(11):1197–1206, 1972.
[43] Ole Jensen, MA Idiart, and John E Lisman. Physiologically realistic formation of autoassociative memory in networks with theta/gamma oscillations: role of fast nmda channels. Learning & Memory, 3(2-3):243-256, 1996.
[44] Mayank R Mehta, Michael C Quirk, and Matthew A Wilson. Experience-dependent asymmetric shape of hippocampal receptive fields. Neuron, 25(3):707-715, 2000.
[45] William B Levy. A computational approach to hippocampal function. In *Psychology of learning and motivation*, volume 23, pages 243–305. Elsevier, 1989.
[46] Marc W Howard and Michael J Kahana. A distributed representation of temporal context. Journal of mathematical psychology, 46(3):269-299, 2002.
[47] Marc W Howard, Christopher J MacDonald, Zoran Tiganj, Karthik H Shankar, Qian Du, Michael E Hasselmo, and Howard Eichenbaum. A unified mathematical framework for coding time, space, and sequences in the hippocampal region. Journal of Neuroscience, 34(13): 4692-4707, 2014.
[48] Matthew M Botvinick and David C Plaut. Short-term memory for serial order: a recurrent neural network model. Psychological review, 113(2):201, 2006.
[49] Chris Eliasmith, Terrence C Stewart, Xuan Choo, Trevor Bekolay, Travis DeWolf, Yichuan Tang, and Daniel Rasmussen. A large-scale model of the functioning brain. science, 338(6111): 1202-1205, 2012.
[50] James Whittington, Timothy Muller, Shirely Mark, Caswell Barry, and Tim Behrens. Generalisation of structural knowledge in the hippocampal-entorhinal system. Advances in neural information processing systems, 31, 2018.
[51] James CR Whittington, Timothy H Muller, Shirley Mark, Guifen Chen, Caswell Barry, Neil Burgess, and Timothy EJ Behrens. The tolman-eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation. Cell, 183(5):1249-1263, 2020.
[52] James CR Whittington, David McCaffary, Jacob JW Bakermans, and Timothy EJ Behrens. How to build a cognitive map. Nature neuroscience, 25(10):1257-1272, 2022.
[53] H Freyja Olafsdóttir, Daniel Bush, and Caswell Barry. The role of hippocampal replay in memory and planning. Current Biology, 28(1):R37–R50, 2018.
[54] Omri Barak and Misha Tsodyks. Working models of working memory. Current opinion in neurobiology, 25:20-24, 2014.
[55] Sam Roweis and Zoubin Ghahramani. A unifying review of linear gaussian models. Neural computation, 11(2):305-345, 1999.
[56] Yann LeCun, Corinna Cortes, and Christopher J Burges. Mnist handwritten digit database. 2010. URL http://yann.lecun.com/exdb/mnist, 7(23):6, 2010.
[57] Mete Demircigil, Judith Heusel, Matthias Löwe, Sven Upgang, and Franck Vermet. On a model of associative memory with huge storage capacity. Journal of Statistical Physics, 168:288-299, 2017.
[58] Nitish Srivastava, Elman Mansimov, and Ruslan Salakhudinov. Unsupervised learning of video representations using lstms. In International conference on machine learning, pages 843-852. PMLR, 2015.