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Context-dependent computation by recurrent dynamics in prefrontal cortex

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Cited by:

  1. João D. Semedo & Anna I. Jasper & Amin Zandvakili & Aravind Krishna & Amir Aschner & Christian K. Machens & Adam Kohn & Byron M. Yu, 2022. "Feedforward and feedback interactions between visual cortical areas use different population activity patterns," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  2. Wan-Yu Shih & Hsiang-Yu Yu & Cheng-Chia Lee & Chien-Chen Chou & Chien Chen & Paul W. Glimcher & Shih-Wei Wu, 2023. "Electrophysiological population dynamics reveal context dependencies during decision making in human frontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
  3. J. L. Amengual & F. Di Bello & S. Ben Hadj Hassen & Suliann Ben Hamed, 2022. "Distractibility and impulsivity neural states are distinct from selective attention and modulate the implementation of spatial attention," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
  4. Wenyi Zhang & Yang Xie & Tianming Yang, 2022. "Reward salience but not spatial attention dominates the value representation in the orbitofrontal cortex," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  5. Nir Even-Chen & Blue Sheffer & Saurabh Vyas & Stephen I Ryu & Krishna V Shenoy, 2019. "Structure and variability of delay activity in premotor cortex," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-17, February.
  6. Ege Altan & Sara A Solla & Lee E Miller & Eric J Perreault, 2021. "Estimating the dimensionality of the manifold underlying multi-electrode neural recordings," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-23, November.
  7. Nagaraj R. Mahajan & Shreesh P. Mysore, 2022. "Donut-like organization of inhibition underlies categorical neural responses in the midbrain," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
  8. Joao Barbosa & Rémi Proville & Chris C. Rodgers & Michael R. DeWeese & Srdjan Ostojic & Yves Boubenec, 2023. "Early selection of task-relevant features through population gating," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  9. Nir Moneta & Mona M. Garvert & Hauke R. Heekeren & Nicolas W. Schuck, 2023. "Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
  10. Laura E. Suárez & Agoston Mihalik & Filip Milisav & Kenji Marshall & Mingze Li & Petra E. Vértes & Guillaume Lajoie & Bratislav Misic, 2024. "Connectome-based reservoir computing with the conn2res toolbox," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  11. Shiva Farashahi & Alireza Soltani, 2021. "Computational mechanisms of distributed value representations and mixed learning strategies," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
  12. Barbara Feulner & Matthew G. Perich & Raeed H. Chowdhury & Lee E. Miller & Juan A. Gallego & Claudia Clopath, 2022. "Small, correlated changes in synaptic connectivity may facilitate rapid motor learning," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  13. Huanyuan Zhou & KongFatt Wong-Lin & Da-Hui Wang, 2018. "Parallel Excitatory and Inhibitory Neural Circuit Pathways Underlie Reward-Based Phasic Neural Responses," Complexity, Hindawi, vol. 2018, pages 1-20, April.
  14. Keiko Ohmae & Shogo Ohmae, 2024. "Emergence of syntax and word prediction in an artificial neural circuit of the cerebellum," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  15. Benjamin R Cowley & Matthew A Smith & Adam Kohn & Byron M Yu, 2016. "Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-31, December.
  16. Kiyohito Iigaya & Sanghyun Yi & Iman A. Wahle & Sandy Tanwisuth & Logan Cross & John P. O’Doherty, 2023. "Neural mechanisms underlying the hierarchical construction of perceived aesthetic value," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
  17. Vishal Kapoor & Abhilash Dwarakanath & Shervin Safavi & Joachim Werner & Michel Besserve & Theofanis I. Panagiotaropoulos & Nikos K. Logothetis, 2022. "Decoding internally generated transitions of conscious contents in the prefrontal cortex without subjective reports," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
  18. Daniel Durstewitz, 2017. "A state space approach for piecewise-linear recurrent neural networks for identifying computational dynamics from neural measurements," PLOS Computational Biology, Public Library of Science, vol. 13(6), pages 1-33, June.
  19. Georgia Koppe & Hazem Toutounji & Peter Kirsch & Stefanie Lis & Daniel Durstewitz, 2019. "Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-35, August.
  20. Shinichiro Kira & Houman Safaai & Ari S. Morcos & Stefano Panzeri & Christopher D. Harvey, 2023. "A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions," Nature Communications, Nature, vol. 14(1), pages 1-28, December.
  21. Kaushik J. Lakshminarasimhan & Eric Avila & Xaq Pitkow & Dora E. Angelaki, 2023. "Dynamical latent state computation in the male macaque posterior parietal cortex," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
  22. Takuya Ito & Guangyu Robert Yang & Patryk Laurent & Douglas H. Schultz & Michael W. Cole, 2022. "Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
  23. Javier G. Orlandi & Mohammad Abdolrahmani & Ryo Aoki & Dmitry R. Lyamzin & Andrea Benucci, 2023. "Distributed context-dependent choice information in mouse posterior cortex," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  24. Satohiro Tajima & Toru Yanagawa & Naotaka Fujii & Taro Toyoizumi, 2015. "Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-28, November.
  25. Ryan C Williamson & Benjamin R Cowley & Ashok Litwin-Kumar & Brent Doiron & Adam Kohn & Matthew A Smith & Byron M Yu, 2016. "Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-27, December.
  26. Weilun Sun & Ilseob Choi & Stoyan Stoyanov & Oleg Senkov & Evgeni Ponimaskin & York Winter & Janelle M. P. Pakan & Alexander Dityatev, 2021. "Context value updating and multidimensional neuronal encoding in the retrosplenial cortex," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
  27. Brandon R. Munn & Eli J. Müller & Gabriel Wainstein & James M. Shine, 2021. "The ascending arousal system shapes neural dynamics to mediate awareness of cognitive states," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  28. Maya Zhe Wang & Benjamin Y. Hayden & Sarah R. Heilbronner, 2022. "A structural and functional subdivision in central orbitofrontal cortex," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  29. Jan Weber & Anne-Kristin Solbakk & Alejandro O. Blenkmann & Anais Llorens & Ingrid Funderud & Sabine Leske & Pål Gunnar Larsson & Jugoslav Ivanovic & Robert T. Knight & Tor Endestad & Randolph F. Helf, 2024. "Ramping dynamics and theta oscillations reflect dissociable signatures during rule-guided human behavior," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  30. Chris. I. De Zeeuw & Julius Koppen & George. G. Bregman & Marit Runge & Devika Narain, 2023. "Heterogeneous encoding of temporal stimuli in the cerebellar cortex," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
  31. Pierre O. Boucher & Tian Wang & Laura Carceroni & Gary Kane & Krishna V. Shenoy & Chandramouli Chandrasekaran, 2023. "Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex," Nature Communications, Nature, vol. 14(1), pages 1-28, December.
  32. Arno Onken & Jue Xie & Stefano Panzeri & Camillo Padoa-Schioppa, 2019. "Categorical encoding of decision variables in orbitofrontal cortex," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-27, October.
  33. Ellen Boven & Joseph Pemberton & Paul Chadderton & Richard Apps & Rui Ponte Costa, 2023. "Cerebro-cerebellar networks facilitate learning through feedback decoupling," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
  34. Rishi Rajalingham & Aída Piccato & Mehrdad Jazayeri, 2022. "Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference task," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  35. Chiara Bartolozzi & Giacomo Indiveri & Elisa Donati, 2022. "Embodied neuromorphic intelligence," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  36. Qianli Yang & Edgar Walker & R. James Cotton & Andreas S. Tolias & Xaq Pitkow, 2021. "Revealing nonlinear neural decoding by analyzing choices," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
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