File Download

There are no files associated with this item.

Supplementary

Conference Paper: Lecture 2: Stochastic Spiking in Neuron Models

TitleLecture 2: Stochastic Spiking in Neuron Models
Authors
Issue Date2013
PublisherDepartment of Mathematics, University of Hong Kong.
Citation
Lecture Series — How can Mathematics and Computational Models Help to Understand the Brain?, Hong Kong, 2013 How to Cite?
AbstractComputational neuroscience is the study of information processing in the brain by modeling the nervous system at different structural scales. It is an interdisciplinary science that links diverse fields of neurobiology, psychology and cognitive science with mathematics, physics, engineering and computer science. In this seminar series, I will first of all give you an introduction of neurobiology, and an overview of the various levels of modeling of the brain. Later on, I will focus on the mathematical and computational approaches to the understanding of the brain at neuronal and network level. The following topics will be discussed: neuronal models, stochastic spiking, network dynamics, as well as models of cognition.
Persistent Identifierhttp://hdl.handle.net/10722/255640

 

DC FieldValueLanguage
dc.contributor.authorYim, MY-
dc.date.accessioned2018-07-10T06:05:42Z-
dc.date.available2018-07-10T06:05:42Z-
dc.date.issued2013-
dc.identifier.citationLecture Series — How can Mathematics and Computational Models Help to Understand the Brain?, Hong Kong, 2013-
dc.identifier.urihttp://hdl.handle.net/10722/255640-
dc.description.abstractComputational neuroscience is the study of information processing in the brain by modeling the nervous system at different structural scales. It is an interdisciplinary science that links diverse fields of neurobiology, psychology and cognitive science with mathematics, physics, engineering and computer science. In this seminar series, I will first of all give you an introduction of neurobiology, and an overview of the various levels of modeling of the brain. Later on, I will focus on the mathematical and computational approaches to the understanding of the brain at neuronal and network level. The following topics will be discussed: neuronal models, stochastic spiking, network dynamics, as well as models of cognition.-
dc.languageeng-
dc.publisherDepartment of Mathematics, University of Hong Kong. -
dc.relation.ispartofLecture Series — How can Mathematics and Computational Models Help to Understand the Brain?-
dc.titleLecture 2: Stochastic Spiking in Neuron Models-
dc.typeConference_Paper-
dc.identifier.emailYim, MY: myyim@hku.hk-
dc.identifier.hkuros234397-
dc.publisher.placeHong Kong-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats