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You searched for subject:(hippocampal replay). Showing records 1 – 4 of 4 total matches.

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Rice University

1. Ackermann, Etienne Rudolph. Latent variable models for hippocampal sequence analysis.

Degree: PhD, Neuroengineering, 2019, Rice University

 Place cell activity of hippocampal pyramidal cells has been described as the cognitive substrate of spatial memory. Indeed, the activity of ensembles of neurons within… (more)

Subjects/Keywords: hippocampal replay; hidden Markov model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ackermann, E. R. (2019). Latent variable models for hippocampal sequence analysis. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/106149

Chicago Manual of Style (16th Edition):

Ackermann, Etienne Rudolph. “Latent variable models for hippocampal sequence analysis.” 2019. Doctoral Dissertation, Rice University. Accessed November 13, 2019. http://hdl.handle.net/1911/106149.

MLA Handbook (7th Edition):

Ackermann, Etienne Rudolph. “Latent variable models for hippocampal sequence analysis.” 2019. Web. 13 Nov 2019.

Vancouver:

Ackermann ER. Latent variable models for hippocampal sequence analysis. [Internet] [Doctoral dissertation]. Rice University; 2019. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1911/106149.

Council of Science Editors:

Ackermann ER. Latent variable models for hippocampal sequence analysis. [Doctoral Dissertation]. Rice University; 2019. Available from: http://hdl.handle.net/1911/106149


Rice University

2. Ackermann, Etienne Rudolph. Latent variable models for hippocampal sequence analysis.

Degree: PhD, Engineering, 2019, Rice University

 Place cell activity of hippocampal pyramidal cells has been described as the cognitive substrate of spatial memory. Indeed, the activity of ensembles of neurons within… (more)

Subjects/Keywords: hippocampal replay; hidden Markov model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ackermann, E. R. (2019). Latent variable models for hippocampal sequence analysis. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/106148

Chicago Manual of Style (16th Edition):

Ackermann, Etienne Rudolph. “Latent variable models for hippocampal sequence analysis.” 2019. Doctoral Dissertation, Rice University. Accessed November 13, 2019. http://hdl.handle.net/1911/106148.

MLA Handbook (7th Edition):

Ackermann, Etienne Rudolph. “Latent variable models for hippocampal sequence analysis.” 2019. Web. 13 Nov 2019.

Vancouver:

Ackermann ER. Latent variable models for hippocampal sequence analysis. [Internet] [Doctoral dissertation]. Rice University; 2019. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1911/106148.

Council of Science Editors:

Ackermann ER. Latent variable models for hippocampal sequence analysis. [Doctoral Dissertation]. Rice University; 2019. Available from: http://hdl.handle.net/1911/106148


University of Edinburgh

3. Dupuy, Nathalie. Neurocomputational model for learning, memory consolidation and schemas.

Degree: PhD, 2018, University of Edinburgh

 This thesis investigates how through experience the brain acquires and stores memories, and uses these to extract and modify knowledge. This question is being studied… (more)

Subjects/Keywords: hippocampal-neocortical interactions; cortical knowledge frameworks; hippocampus; prefrontal cortex; Restricted Boltzmann Machine; memories; hippocampal-driven replay; memory formation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dupuy, N. (2018). Neurocomputational model for learning, memory consolidation and schemas. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/33144

Chicago Manual of Style (16th Edition):

Dupuy, Nathalie. “Neurocomputational model for learning, memory consolidation and schemas.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed November 13, 2019. http://hdl.handle.net/1842/33144.

MLA Handbook (7th Edition):

Dupuy, Nathalie. “Neurocomputational model for learning, memory consolidation and schemas.” 2018. Web. 13 Nov 2019.

Vancouver:

Dupuy N. Neurocomputational model for learning, memory consolidation and schemas. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1842/33144.

Council of Science Editors:

Dupuy N. Neurocomputational model for learning, memory consolidation and schemas. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/33144


Boston University

4. Tao, Long. Contributions to statistical analysis methods for neural spiking activity.

Degree: PhD, Mathematics & Statistics, 2018, Boston University

 With the technical advances in neuroscience experiments in the past few decades, we have seen a massive expansion in our ability to record neural activity.… (more)

Subjects/Keywords: Statistics; Hippocampal ripple replay; Neural spiking activity; Sequential Monte Carlo; State-space models; Time-rescaling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tao, L. (2018). Contributions to statistical analysis methods for neural spiking activity. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/33172

Chicago Manual of Style (16th Edition):

Tao, Long. “Contributions to statistical analysis methods for neural spiking activity.” 2018. Doctoral Dissertation, Boston University. Accessed November 13, 2019. http://hdl.handle.net/2144/33172.

MLA Handbook (7th Edition):

Tao, Long. “Contributions to statistical analysis methods for neural spiking activity.” 2018. Web. 13 Nov 2019.

Vancouver:

Tao L. Contributions to statistical analysis methods for neural spiking activity. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2144/33172.

Council of Science Editors:

Tao L. Contributions to statistical analysis methods for neural spiking activity. [Doctoral Dissertation]. Boston University; 2018. Available from: http://hdl.handle.net/2144/33172

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