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Understanding connections between artificial and biological intelligent systems can reveal fundamental principles of general intelligence.
The serial position effect of free recall
Murdock and B Bennet · 1962
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Does activation really spread?
Roger Ratcliff and Gail McKoon · 1981
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A distributed representation of temporal context
Marc W Howard and Michael J Kahana · 2002
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The temporal context model in spatial navigation and relational learning: toward a common explanation of medial temporal lobe function across domains
Marc W Howard, Mrigankka S Fotedar, Aditya V Datey, and Michael E Hasselmo · 2005
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A context maintenance and retrieval model of organizational processes in free recall
Sean M Polyn, Kenneth A Norman, and Michael J Kahana · 2009
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Generalization through the recurrent interaction of episodic memories
Dharshan Kumaran and James L. McClelland · 2012
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Performance-optimized hierarchical models predict neural responses in higher visual cortex
Daniel LK Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, and James J DiCarlo · 2014
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Rupesh Kumar Srivastava, Klaus Greff, and Jürgen Schmidhuber · 2015
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Expanding the scope of memory search: Modeling intralist and interlist effects in free recall
Lynn Lohnas, Sean Polyn, and Michael Kahana · 2015
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During running in place, grid cells integrate elapsed time and distance run
Benjamin J Kraus, Mark P Brandon, Robert J Robinson, Michael A Connerney, Michael E Hasselmo, and Howard Eichenbaum · 2015
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A predictive framework for evaluating models of semantic organization in free recall
Neal W Morton and Sean M Polyn · 2015
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Using goal-driven deep learning models to understand sensory cortex
Daniel LK Yamins and James J DiCarlo · 2016
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Discovering event structure in continuous narrative perception and memory
Christopher A. Baldassano, Janice Chen, Asieh Zadbood, Jonathan W. Pillow, Uri Hasson, and Kenneth A. Norman · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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The hippocampus as a predictive map
Kimberly L Stachenfeld, Matthew M Botvinick, and Samuel J Gershman · 2017
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Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning
Anna C Schapiro, Nicholas B Turk-Browne, Matthew M Botvinick, and Kenneth A Norman · 2017
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Reinforcement learning and episodic memory in humans and animals: An integrative framework
Samuel J. Gershman and Nathaniel D. Daw · 2017
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Brain-score: Which artificial neural network for object recognition is most brain-like?
Martin Schrimpf, Jonas Kubilius, Ha Hong, Najib J Majaj, Rishi Rajalingham, Elias B Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Franziska Geiger, et al · 2018
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Christopher J Cueva and Xue-Xin Wei · 2018
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Vector-based navigation using grid-like representations in artificial agents
Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J Chadwick, Thomas Degris, Joseph Modayil, et al · 2018
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Prefrontal cortex as a meta-reinforcement learning system
Jane X Wang, Zeb Kurth-Nelson, Dharshan Kumaran, Dhruva Tirumala, Hubert Soyer, Joel Z Leibo, Demis Hassabis, and Matthew Botvinick · 2018
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Attentional bias in human category learning: The case of deep learning
Catherine Hanson, Leyla Roskan Çağlar, and Stephen José Hanson · 2018
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Understanding the functional and structural differences across excitatory and inhibitory neurons
Sun Minni, Li Ji-An, Theodore Moskovitz, Grace Lindsay, Kenneth Miller, Mario Dipoppa, and Guangyu Robert Yang · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Hippocampal ripples signal contextually mediated episodic recall
John J Sakon and Michael J Kahana · 2022
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The mechanistic basis of data dependence and abrupt learning in an in-context classification task
Gautam Reddy · 2023
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Optimal policies for free recall
Qiong Zhang, Thomas L. Griffiths, and Kenneth A. Norman · 2023
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Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, et al · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al · 2023
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Retrieved-context theory of memory in emotional disorders
Rivka T Cohen and Michael J. Kahana · 2019
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Emergence of hierarchical organization in memory for random material
Michelangelo Naim, Mikhail Katkov, Stefano Recanatesi, and Michail Tsodyks · 2019
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Hopfield networks is all you need
Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Thomas Adler, Lukas Gruber, Markus Holzleitner, Milena Pavlović, Geir Kjetil Sandve, et al · 2020
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The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing
Martin Schrimpf, Idan Blank, Greta Tuckute, Carina Kauf, Eghbal A Hosseini, Nancy Kanwisher, Joshua Tenenbaum, and Evelina Fedorenko · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Ca1 and ca3 differentially support spontaneous retrieval of episodic contexts within human hippocampal subfields
Halle R. Dimsdale-Zucker, Maureen Ritchey, Arne D. Ekstrom, Andrew P. Yonelinas, and Charan Ranganath · 2020
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Copy suppression: Comprehensively understanding an attention head, 2023
Callum McDougall, Arthur Conmy, Cody Rushing, Thomas McGrath, and Neel Nanda · 2023
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Face familiarity detection with complex synapses
Li Ji-An, Fabio Stefanini, Marcus K Benna, and Stefano Fusi · 2023
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Episodic retrieval for model-based evaluation in sequential decision tasks, 2023
Corey Y. Zhou, Deborah Talmi, Nathaniel D. Daw, and Marcelo G. Mattar · 2023
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Future lens: Anticipating subsequent tokens from a single hidden state
Koyena Pal, Jiuding Sun, Andrew Yuan, Byron Wallace, and David Bau · 2023
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Building transformers from neurons and astrocytes
Leo Kozachkov, Ksenia V Kastanenka, and Dmitry Krotov · 2023
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Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
Ariel Goldstein, Avigail Grinstein-Dabush, Mariano Schain, Haocheng Wang, Zhuoqiao Hong, Bobbi Aubrey, Mariano Schain, Samuel A Nastase, Zaid Zada, Eric Ham, et al · 2024
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Scaling laws for language encoding models in fmri
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Parallels between neural machine translation and human memory search: A cognitive modeling approach
Nikolaus Salvatore and Qiong Zhang · 2024
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A neural network model trained on free recall learns the method of loci
Moufan Li, Kristopher T Jensen, and Marcelo G Mattar · 2024
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Episodic memory supports the acquisition of structured task representations, 2024
Qihong Lu, Ali Hummos, and Kenneth Norman · 2024
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Lost in the middle: How language models use long contexts
Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang · 2024
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Induction heads as an essential mechanism for pattern matching in in-context learning
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