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Choice-specific sequences in parietal cortex during a virtual-navigation decision task

Author

Listed:
  • Christopher D. Harvey

    (Princeton Neuroscience Institute, Princeton University
    Lewis-Sigler Institute for Integrative Genomics, Princeton University
    Princeton University
    Present address: Department of Neurobiology, Harvard Medical School, Boston, Massachusetts 02115, USA.)

  • Philip Coen

    (Princeton Neuroscience Institute, Princeton University
    Princeton University)

  • David W. Tank

    (Princeton Neuroscience Institute, Princeton University
    Bezos Center for Neural Circuit Dynamics, Princeton University
    Lewis-Sigler Institute for Integrative Genomics, Princeton University
    Princeton University)

Abstract

The posterior parietal cortex (PPC) has an important role in many cognitive behaviours; however, the neural circuit dynamics underlying PPC function are not well understood. Here we optically imaged the spatial and temporal activity patterns of neuronal populations in mice performing a PPC-dependent task that combined a perceptual decision and memory-guided navigation in a virtual environment. Individual neurons had transient activation staggered relative to one another in time, forming a sequence of neuronal activation spanning the entire length of a task trial. Distinct sequences of neurons were triggered on trials with opposite behavioural choices and defined divergent, choice-specific trajectories through a state space of neuronal population activity. Cells participating in the different sequences and at distinct time points in the task were anatomically intermixed over microcircuit length scales (

Suggested Citation

  • Christopher D. Harvey & Philip Coen & David W. Tank, 2012. "Choice-specific sequences in parietal cortex during a virtual-navigation decision task," Nature, Nature, vol. 484(7392), pages 62-68, April.
    • Handle: RePEc:nat:nature:v:484:y:2012:i:7392:d:10.1038_nature10918
    DOI: 10.1038/nature10918
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    Cited by:

    1. 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.
    2. Adeeti Aggarwal & Connor Brennan & Jennifer Luo & Helen Chung & Diego Contreras & Max B. Kelz & Alex Proekt, 2022. "Visual evoked feedforward–feedback traveling waves organize neural activity across the cortical hierarchy in mice," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    3. HaoRan Chang & Ingrid M. Esteves & Adam R. Neumann & Majid H. Mohajerani & Bruce L. McNaughton, 2023. "Cortical reactivation of spatial and non-spatial features coordinates with hippocampus to form a memory dialogue," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    4. John Palmer & Adam Keane & Pulin Gong, 2017. "Learning and executing goal-directed choices by internally generated sequences in spiking neural circuits," PLOS Computational Biology, Public Library of Science, vol. 13(7), pages 1-23, July.
    5. 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.
    6. 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.
    7. Asako Noguchi & Roman Huszár & Shota Morikawa & György Buzsáki & Yuji Ikegaya, 2022. "Inhibition allocates spikes during hippocampal ripples," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    8. A. Barri & M. T. Wiechert & M. Jazayeri & D. A. DiGregorio, 2022. "Synaptic basis of a sub-second representation of time in a neural circuit model," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    9. 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.
    10. 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.
    11. Hong Yu & Xinkuan Xiang & Zongming Chen & Xu Wang & Jiaqi Dai & Xinxin Wang & Pengcheng Huang & Zheng-dong Zhao & Wei L. Shen & Haohong Li, 2021. "Periaqueductal gray neurons encode the sequential motor program in hunting behavior of mice," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    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. Kevin K. Sit & Michael J. Goard, 2023. "Coregistration of heading to visual cues in retrosplenial cortex," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    14. 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.

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