Literature DB >> 16876266

Temporal coupling between subicular and hippocampal neurons underlies retention of trial-specific events.

Sam A Deadwyler1, Robert E Hampson.   

Abstract

The subiculum receives the majority of efferent outflow of neural information from the CA1 region of the hippocampus. As such it occupies a strategic position in which to integrate, transfer and resolve activity from the hippocampus relating to memory and performance. We have previously demonstrated that each structure has complementary ensemble firing patterns that together allow information to be represented continuously over the time course of a trial in a delayed-non-match-to-sample (DNMS) task. Here, we extend this analysis to show the precise manner in which specific neurons in both structures are coupled temporally across the delay interval on a single trial. Neurons in both structures encode position-specific information related to the sample lever press, but only subicular neurons continue to fire during the early portion of the subsequent variable delay interval. However, cross-correlation analysis of multiple spike trains showed that as the delay increased in duration other subicular neurons were temporally coupled to the subicular neurons that fired in the initial part of the delay. This latter population of subicular neurons showed strong cross-correlated firing with other initially activated subicular neurons until midway through the delay (<15s), but on longer delay intervals were coupled to a specific type of hippocampal neuron whose firing was critical for correct performance. Subicular neurons, therefore, play a critical role in bringing the hippocampus "back online" when trial delays exceed the minimum duration thus allowing both structures to cooperatively bridge relevant information across longer time intervals than would not otherwise be possible.

Mesh:

Year:  2006        PMID: 16876266     DOI: 10.1016/j.bbr.2006.05.038

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  15 in total

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Journal:  Chem Rev       Date:  2008-06-25       Impact factor: 60.622

2.  A cortical neural prosthesis for restoring and enhancing memory.

Authors:  Theodore W Berger; Robert E Hampson; Dong Song; Anushka Goonawardena; Vasilis Z Marmarelis; Sam A Deadwyler
Journal:  J Neural Eng       Date:  2011-06-15       Impact factor: 5.379

3.  A cognitive prosthesis for memory facilitation by closed-loop functional ensemble stimulation of hippocampal neurons in primate brain.

Authors:  Sam A Deadwyler; Robert E Hampson; Dong Song; Ioan Opris; Greg A Gerhardt; Vasilis Z Marmarelis; Theodore W Berger
Journal:  Exp Neurol       Date:  2016-05-24       Impact factor: 5.330

4.  A nonlinear model for hippocampal cognitive prosthesis: memory facilitation by hippocampal ensemble stimulation.

Authors:  Robert E Hampson; Dong Song; Rosa H M Chan; Andrew J Sweatt; Mitchell R Riley; Gregory A Gerhardt; Dae C Shin; Vasilis Z Marmarelis; Theodore W Berger; Samuel A Deadwyler
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-03       Impact factor: 3.802

5.  Hippocampal dynamics predict interindividual cognitive differences in rats.

Authors:  Vincent Hok; Ehsan Chah; Richard B Reilly; Shane M O'Mara
Journal:  J Neurosci       Date:  2012-03-07       Impact factor: 6.167

6.  Memory encoding in hippocampal ensembles is negatively influenced by cannabinoid CB1 receptors.

Authors:  Robert E Hampson; Andrew J Sweatt; Anushka V Goonawardena; Dong Song; Rosa H M Chan; Vasilis Z Marmarelis; Theodore W Berger; Sam A Deadwyler
Journal:  Behav Pharmacol       Date:  2011-08       Impact factor: 2.293

7.  Recruitment of hippocampal neurons to encode behavioral events in the rat: alterations in cognitive demand and cannabinoid exposure.

Authors:  Anushka V Goonawardena; Lianne Robinson; Gernot Riedel; Robert E Hampson
Journal:  Hippocampus       Date:  2010-09       Impact factor: 3.899

8.  Design of optimal stimulation patterns for neuronal ensembles based on Volterra-type hierarchical modeling.

Authors:  V Z Marmarelis; D C Shin; R E Hampson; S A Deadwyler; D Song; T W Berger
Journal:  J Neural Eng       Date:  2012-10-17       Impact factor: 5.379

9.  A model of episodic memory: mental time travel along encoded trajectories using grid cells.

Authors:  Michael E Hasselmo
Journal:  Neurobiol Learn Mem       Date:  2009-07-15       Impact factor: 2.877

10.  Multifractal analysis of information processing in hippocampal neural ensembles during working memory under Δ⁹-tetrahydrocannabinol administration.

Authors:  Dustin Fetterhoff; Ioan Opris; Sean L Simpson; Sam A Deadwyler; Robert E Hampson; Robert A Kraft
Journal:  J Neurosci Methods       Date:  2014-07-30       Impact factor: 2.390

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