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The importance of mixed selectivity in complex cognitive tasks

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Cited by:

  1. W. Jeffrey Johnston & Stefano Fusi, 2023. "Abstract representations emerge naturally in neural networks trained to perform multiple tasks," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
  2. Mikael Lundqvist & Scott L. Brincat & Jonas Rose & Melissa R. Warden & Timothy J. Buschman & Earl K. Miller & Pawel Herman, 2023. "Working memory control dynamics follow principles of spatial computing," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  3. Christoph Kayser & Ladan Shams, 2015. "Multisensory Causal Inference in the Brain," PLOS Biology, Public Library of Science, vol. 13(2), pages 1-7, February.
  4. David Kappel & Bernhard Nessler & Wolfgang Maass, 2014. "STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning," PLOS Computational Biology, Public Library of Science, vol. 10(3), pages 1-22, March.
  5. 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.
  6. Masakazu Agetsuma & Issei Sato & Yasuhiro R. Tanaka & Luis Carrillo-Reid & Atsushi Kasai & Atsushi Noritake & Yoshiyuki Arai & Miki Yoshitomo & Takashi Inagaki & Hiroshi Yukawa & Hitoshi Hashimoto & J, 2023. "Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
  7. 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.
  8. Zihao Chen & Yechao Han & Zheng Ma & Xinnian Wang & Surui Xu & Yong Tang & Alexei L. Vyssotski & Bailu Si & Yang Zhan, 2024. "A prefrontal-thalamic circuit encodes social information for social recognition," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  9. 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.
  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. Takafumi Arakaki & G Barello & Yashar Ahmadian, 2019. "Inferring neural circuit structure from datasets of heterogeneous tuning curves," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-38, April.
  12. 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.
  13. Jiangshe Zhang & Weifu Ding, 2017. "Prediction of Air Pollutants Concentration Based on an Extreme Learning Machine: The Case of Hong Kong," IJERPH, MDPI, vol. 14(2), pages 1-19, January.
  14. 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.
  15. Hagai Lalazar & L F Abbott & Eilon Vaadia, 2016. "Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-27, May.
  16. Amirsaman Sajad & Steven P. Errington & Jeffrey D. Schall, 2022. "Functional architecture of executive control and associated event-related potentials in macaques," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
  17. Oliver Barnstedt & Petra Mocellin & Stefan Remy, 2024. "A hippocampus-accumbens code guides goal-directed appetitive behavior," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
  18. Zhewei Zhang & Chaoqun Yin & Tianming Yang, 2022. "Evidence accumulation occurs locally in the parietal cortex," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  19. 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.
  20. 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.
  21. 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.
  22. Ziyan Huang & Myung Chung & Kentaro Tao & Akiyuki Watarai & Mu-Yun Wang & Hiroh Ito & Teruhiro Okuyama, 2023. "Ventromedial prefrontal neurons represent self-states shaped by vicarious fear in male mice," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  23. 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.
  24. 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.
  25. Guillaume Viejo & Thomas Cortier & Adrien Peyrache, 2018. "Brain-state invariant thalamo-cortical coordination revealed by non-linear encoders," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-25, March.
  26. 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.
  27. 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.
  28. 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.
  29. Tianwei Wang & Yun Chen & Yiheng Zhang & He Cui, 2024. "Multiplicative joint coding in preparatory activity for reaching sequence in macaque motor cortex," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  30. Rakic, Goran & Milenkovic, Dragana & Vujovic, Sonja & Vujovic, Tanja & Jović, Srđan, 2019. "Information system for e-GDP based on computational intelligence approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 418-423.
  31. Nicolas Cazin & Martin Llofriu Alonso & Pablo Scleidorovich Chiodi & Tatiana Pelc & Bruce Harland & Alfredo Weitzenfeld & Jean-Marc Fellous & Peter Ford Dominey, 2019. "Reservoir computing model of prefrontal cortex creates novel combinations of previous navigation sequences from hippocampal place-cell replay with spatial reward propagation," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-32, July.
  32. 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.
  33. 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.
  34. Jason S Prentice & Olivier Marre & Mark L Ioffe & Adrianna R Loback & Gašper Tkačik & Michael J Berry II, 2016. "Error-Robust Modes of the Retinal Population Code," PLOS Computational Biology, Public Library of Science, vol. 12(11), pages 1-32, November.
  35. 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.
  36. 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.
  37. Robert Legenstein & Wolfgang Maass, 2014. "Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment," PLOS Computational Biology, Public Library of Science, vol. 10(10), pages 1-27, October.
  38. 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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