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Conference Paper: Lecture 2: Stochastic Spiking in Neuron Models
Title | Lecture 2: Stochastic Spiking in Neuron Models |
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Authors | |
Issue Date | 2013 |
Publisher | Department 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? |
Abstract | Computational 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 Identifier | http://hdl.handle.net/10722/255640 |
DC Field | Value | Language |
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dc.contributor.author | Yim, MY | - |
dc.date.accessioned | 2018-07-10T06:05:42Z | - |
dc.date.available | 2018-07-10T06:05:42Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Lecture Series — How can Mathematics and Computational Models Help to Understand the Brain?, Hong Kong, 2013 | - |
dc.identifier.uri | http://hdl.handle.net/10722/255640 | - |
dc.description.abstract | Computational 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.language | eng | - |
dc.publisher | Department of Mathematics, University of Hong Kong. | - |
dc.relation.ispartof | Lecture Series — How can Mathematics and Computational Models Help to Understand the Brain? | - |
dc.title | Lecture 2: Stochastic Spiking in Neuron Models | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Yim, MY: myyim@hku.hk | - |
dc.identifier.hkuros | 234397 | - |
dc.publisher.place | Hong Kong | - |