Literature DB >> 14736863

Neuronal activity in the rodent dorsal striatum in sequential navigation: separation of spatial and reward responses on the multiple T task.

Neil Schmitzer-Torbert1, A David Redish.   

Abstract

The striatum plays an important role in "habitual" learning and memory and has been hypothesized to implement a reinforcement-learning algorithm to select actions to perform given the current sensory input. Many experimental approaches to striatal activity have made use of temporally structured tasks, which imply that the striatal representation is temporal. To test this assumption, we recorded neurons in the dorsal striatum of rats running a sequential navigation task: the multiple T maze. Rats navigated a sequence of four T maze turns to receive food rewards delivered in two locations. The responses of neurons that fired phasically were examined. Task-responsive phasic neurons were active as rats ran on the maze (maze-responsive) or during reward receipt (reward-responsive). Neither maze- nor reward-responsive neurons encoded simple motor commands: maze-responses were not well correlated with the shape of the rat's path and most reward-responsive neurons did not fire at similar rates at both food-delivery sites. Maze-responsive neurons were active at one or more locations on the maze, but these responses did not cluster at spatial landmarks such as turns. Across sessions the activity of maze-responsive neurons was highly correlated when rats ran the same maze. Maze-responses encoded the location of the rat on the maze and imply a spatial representation in the striatum in a task with prominent spatial demands. Maze-responsive and reward-responsive neurons were two separate populations, suggesting a divergence in striatal information processing of navigation and reward.

Entities:  

Mesh:

Year:  2004        PMID: 14736863     DOI: 10.1152/jn.00687.2003

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  86 in total

1.  Measuring the quality of neuronal identification in ensemble recordings.

Authors:  Samuel A Neymotin; William W Lytton; Andrey V Olypher; André A Fenton
Journal:  J Neurosci       Date:  2011-11-09       Impact factor: 6.167

2.  Temporal convergence of dynamic cell assemblies in the striato-pallidal network.

Authors:  Avital Adler; Shiran Katabi; Inna Finkes; Zvi Israel; Yifat Prut; Hagai Bergman
Journal:  J Neurosci       Date:  2012-02-15       Impact factor: 6.167

3.  A study on the role of the dorsal striatum and the nucleus accumbens in allocentric and egocentric spatial memory consolidation.

Authors:  Elvira De Leonibus; Alberto Oliverio; Andrea Mele
Journal:  Learn Mem       Date:  2005-09-15       Impact factor: 2.460

4.  Bioinspired neuron-like electronics.

Authors:  Xiao Yang; Tao Zhou; Theodore J Zwang; Guosong Hong; Yunlong Zhao; Robert D Viveros; Tian-Ming Fu; Teng Gao; Charles M Lieber
Journal:  Nat Mater       Date:  2019-02-25       Impact factor: 43.841

5.  Neural ensembles in CA3 transiently encode paths forward of the animal at a decision point.

Authors:  Adam Johnson; A David Redish
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

Review 6.  Integrating hippocampus and striatum in decision-making.

Authors:  Adam Johnson; Matthijs A A van der Meer; A David Redish
Journal:  Curr Opin Neurobiol       Date:  2008-03-04       Impact factor: 6.627

7.  Striatal versus hippocampal representations during win-stay maze performance.

Authors:  Joshua D Berke; Jason T Breck; Howard Eichenbaum
Journal:  J Neurophysiol       Date:  2009-01-14       Impact factor: 2.714

8.  Cerebral perfusion mapping during retrieval of spatial memory in rats.

Authors:  D P Holschneider; T K Givrad; J Yang; S B Stewart; S R Francis; Z Wang; Jmi Maarek
Journal:  Behav Brain Res       Date:  2019-08-01       Impact factor: 3.332

9.  Stable long-term chronic brain mapping at the single-neuron level.

Authors:  Tian-Ming Fu; Guosong Hong; Tao Zhou; Thomas G Schuhmann; Robert D Viveros; Charles M Lieber
Journal:  Nat Methods       Date:  2016-08-29       Impact factor: 28.547

10.  Characterization of motor units in behaving adult mice shows a wide primary range.

Authors:  Laura K Ritter; Matthew C Tresch; C J Heckman; Marin Manuel; Vicki M Tysseling
Journal:  J Neurophysiol       Date:  2014-05-07       Impact factor: 2.714

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.