The Computational Simulation of the Effect of Dopamine on Short-Term and Long-Term Memory

Yin, Xiaoxia; Wang, Rubin

doi:10.1007/978-981-10-0207-6_87

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Understanding the brain is challenging, given both its complex mechanisms and inaccessibility. Every year new pathways, channels, proteins, and other mechanisms are discovered, but how these components interact at the system level remains a mystery (Markram et al, 2015;Yin and Wang, 2016;Lisman and Raghavachari, 2006;Diekman et al, 2013;Antunes et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Studies in cortical network models

Romaro¹

View full text Add to dashboard Cite

This thesis consists of five chapter-articles, each proposing simple solutions to nontrivial questions and problems in computational neuroscience. The first chapter presents a reimplementation of the Potjans-Diesmann (PD) model of the local cortical microcircuitry, and a rescaling method for the number of neurons in the model that is capable of maintaining both the connection probabilities and the behavior of the network activity even when rescaled to 1 % of original size.

show abstract

Section: Introductionmentioning

confidence: 99%

Studies in cortical network models

Romaro¹

View full text Add to dashboard Cite

show abstract

The Computational Simulation of the Effect of Dopamine on Short-Term and Long-Term Memory

Cited by 1 publication

References 16 publications

Studies in cortical network models

Studies in cortical network models

Contact Info

Product

Resources

About