1
A flexible hippocampal population code for experience relative to reward
Sosa, M., Plitt, M. H., Giocomo, L. M., et al.
Nature Neuroscience•2025
As covered in
Bibliography
Archive of NeuroAI Papers
Open source
2
A foundation model to predict and capture human cognition
Binz, M., Elif, A., Bethge, M., et al.
Nature•2025
As covered in
3
A generative model of the hippocampal formation trained with theta driven local learning rules
Tom M George, Caswell Barry, Kimberly Stachenfeld, Claudia Clopath, Tomoki Fukai
NeurIPS•2023
As covered in
4
A Geometric Approach to Representation and Abstraction in the Hippocampus and Prefrontal Cortex
Silvia Bernardi, Marcus K. Benna, Mattia Rigotti, Jérôme Munuera, Stefano Fusi, C. Daniel Salzman
Cell•2020
As covered in
5
A habit and working memory model as an alternative account of human reward-based learning
Anne G. E. Collins
Nature Human Behaviour•2025
As covered in
6
Adaptive reorganization of history encoding in the retrosplenial cortex supports flexible decision-making strategies
Yu E. Zhang, Bethanny P. Danskin, Maxwell Zhou, Eeshi Uppalapati, Ashley Medina, Chung-Yueh Lin, Takaki Komiyama
Neuron•2026
As covered in
7
Arousal as a universal embedding for spatiotemporal brain dynamics
Ryan V. Raut, Zachary P. Rosenthal, Xiaodan Wang, Hanyang Miao, Zhanqi Zhang, Jin-Moo Lee, Marcus E. Raichle, Adam Q. Bauer, Steven L. Brunton, Bingni W. Brunton, J. Nathan Kutz
Nature•2025
As covered in
8
Between planning and map building - Prioritizing replay when future goals are uncertain
Yotam Sagiv, Thomas Akam, Ilana B. Witten, Nathaniel D. Daw
Neuron•2025
As covered in
9
Between planning and map building; Prioritizing replay when future goals are uncertain
Yotam Sagiv, Thomas Akam, Ilana B. Witten, Nathaniel D. Daw
Neuron•2025
As covered in
10
Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics
Bukwich, M., Campbell, M. G., Zoltowski, D., Kingsbury, L., Tomov, M. S., Stern, J., Kim, H. R., Drugowitsch, J., Linderman, S. W., Uchida, N.
Neuron•2025
As covered in
11
Compositional tasks with subspace structure in recurrent neural networks
Sina Tafazoli, Flora M. Bouchacourt, Adel Ardalan, Nikola T. Markov, Motoaki Uchimura, Marcelo G. Mattar, Nathaniel D. Daw, Timothy J. Buschman
Nature Neuroscience•2025
As covered in
12
Constructing biologically constrained RNNs via Dale's backpropagation and topologically informed pruning
Aishwarya Balwani, Alex Q. Wang, Farzaneh Najafi, Hannah Choi
Science Advances•2025
As covered in
13
Constructing future behavior in the hippocampal formation through composition and replay
Jacob J. W. Bakermans, Joseph Warren, James C. R. Whittington, Timothy E. J. Behrens
Nature Neuroscience•2025
As covered in
14
Cooperative actions of interneuron families support the hippocampal spatial code
Valero, M., Abad-Perez, P., Gallardo, A., Picco, M., García-Hernandez, R., Brotons, J., Martínez-Félix, A., Machold, R., Rudy, B., Buzsáki, G.
Science•2025
As covered in
15
Development of coherent cortical responses reflects increased discriminability of feedforward inputs and their alignment with recurrent circuits
Augusto Abel Lempel, Sigrid Trägenap, Clara Tepohl, Matthias Kaschube, David Fitzpatrick
Neuron•2025
As covered in
16
Discovering cognitive strategies with tiny recurrent neural networks
Ji-An, L., Benna, M. K., Matter M. G.
Nature•2025
As covered in
17
Discovering Symbolic Cognitive Models from Human and Animal Behavior
Castro, P. S., Tomasev, N., Anand, A., et al.
ICML•2025
As covered in
18
Distinct neuronal populations in the human brain combine content and context
Marcel Bausch, Johannes Niediek, Thomas P. Reber, Sina Mackay, Jan Boström,, Christian E. Elger, Florian Mormann
Nature•2026
As covered in