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Author:

Coulter, M.E. (Coulter, M.E..) | Gillespie, A.K. (Gillespie, A.K..) | Chu, J. (Chu, J..) | Denovellis, E.L. (Denovellis, E.L..) | Nguyen, T.T.K. (Nguyen, T.T.K..) | Liu, D.F. (Liu, D.F..) | Wadhwani, K. (Wadhwani, K..) | Sharma, B. (Sharma, B..) | Wang, K. (Wang, K..) | Deng, X. (Deng, X..) | Eden, U.T. (Eden, U.T..) | Kemere, C. (Kemere, C..) | Frank, L.M. (Frank, L.M..)

Indexed by:

Scopus SCIE

Abstract:

Humans can remember specific remote events without acting on them and influence which memories are retrieved based on internal goals. However, animal models typically present sensory cues to trigger memory retrieval and then assess retrieval based on action. Thus, it is difficult to determine whether measured neural activity patterns relate to the cue(s), the memory, or the behavior. We therefore asked whether retrieval-related neural activity could be generated in animals without cues or a behavioral report. We focused on hippocampal “place cells,” which primarily represent the animal's current location (local representations) but can also represent locations away from the animal (remote representations). We developed a neurofeedback system to reward expression of remote representations and found that rats could learn to generate specific spatial representations that often jumped directly to the experimenter-defined target location. Thus, animals can deliberately engage remote representations, enabling direct study of retrieval-related activity in the brain. © 2024 The Author(s)

Keyword:

place cells behavior neurofeedback spatial representation decoding brain-machine interface hippocampus memory retrieval rat

Author Community:

  • [ 1 ] [Coulter M.E.]Kavli Institute and Department of Physiology, UCSF, San Francisco, CA, United States
  • [ 2 ] [Coulter M.E.]Howard Hughes Medical Institute, Chevy Chase, MD, United States
  • [ 3 ] [Gillespie A.K.]Departments of Neurobiology and Biophysics and Lab Medicine and Pathology, University of Washington, Seattle, WA, United States
  • [ 4 ] [Chu J.]Department of Electrical and Computer Engineering and Neuroengineering Initiative, Rice University, Houston, TX, United States
  • [ 5 ] [Denovellis E.L.]Kavli Institute and Department of Physiology, UCSF, San Francisco, CA, United States
  • [ 6 ] [Denovellis E.L.]Howard Hughes Medical Institute, Chevy Chase, MD, United States
  • [ 7 ] [Nguyen T.T.K.]Kavli Institute and Department of Physiology, UCSF, San Francisco, CA, United States
  • [ 8 ] [Nguyen T.T.K.]SpikeGadgets Inc., San Francisco, CA, United States
  • [ 9 ] [Liu D.F.]Kavli Institute and Department of Physiology, UCSF, San Francisco, CA, United States
  • [ 10 ] [Liu D.F.]Howard Hughes Medical Institute, Chevy Chase, MD, United States
  • [ 11 ] [Wadhwani K.]Kavli Institute and Department of Physiology, UCSF, San Francisco, CA, United States
  • [ 12 ] [Wadhwani K.]Howard Hughes Medical Institute, Chevy Chase, MD, United States
  • [ 13 ] [Sharma B.]Kavli Institute and Department of Physiology, UCSF, San Francisco, CA, United States
  • [ 14 ] [Sharma B.]Howard Hughes Medical Institute, Chevy Chase, MD, United States
  • [ 15 ] [Wang K.]SpikeGadgets Inc., San Francisco, CA, United States
  • [ 16 ] [Deng X.]Department of Statistics, Beijing University of Technology, Beijing, China
  • [ 17 ] [Eden U.T.]Department of Mathematics and Statistics, Boston University, Boston, MA, United States
  • [ 18 ] [Kemere C.]Department of Electrical and Computer Engineering and Neuroengineering Initiative, Rice University, Houston, TX, United States
  • [ 19 ] [Frank L.M.]Kavli Institute and Department of Physiology, UCSF, San Francisco, CA, United States
  • [ 20 ] [Frank L.M.]Howard Hughes Medical Institute, Chevy Chase, MD, United States

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Source :

Neuron

ISSN: 0896-6273

Year: 2025

Issue: 6

Volume: 113

Page: 949-961.e3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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