Mathematical Issues in the Inference of Causal Interactions among Multichannel Neural Signals
- Title
- Mathematical Issues in the Inference of Causal Interactions among Multichannel Neural Signals
- Author
- 임창환
- Keywords
- BRAIN function localization; NEURAL networks (Neurobiology); SIGNAL processing; NEUROSCIENCES; APPLIED mathematics; MATHEMATICAL analysis
- Issue Date
- 2012-02
- Publisher
- Hidawi Publishing CORP.
- Citation
- Journal of Applied Mathematics, 2012, P.1-14. 14p.
- Abstract
- Within the last few decades, attempts have been made to characterize the underlying mechanisms of brain activity by analyzing neural signals recorded, directly or indirectly, from the human brain. Accordingly, inference of functional connectivity among neural signals has become an indispensable research tool in modern neuroscience studies aiming to explore how different brain areas are interacting with each other. Indeed, remarkable advances in computational sciences and applied mathematics even allow the estimation of causal interactions among multichannel neural signals. Here, we introduce the brief mathematical background of the use of causality inference in neuroscience and discuss the relevant mathematical issues, with the ultimate goal of providing applied mathematicians with the current state-of-the-art knowledge on this promising multidisciplinary topic.
- URI
- https://www.hindawi.com/journals/jam/2012/472036/
- ISSN
- 1110-757X
- DOI
- 10.1155/2012/472036
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
- Files in This Item:
- Mathematical Issues in the Inference of Causal Interactions among Multichannel Neural Signals.pdfDownload
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