Neural And Biochemical Networks: Organization, Development, And Robustness

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Neural And Biochemical Networks: Organization, Development, And RobustnessISBN13:9781548791766ISBN10:1548791768Author:Kaiser, Marcus (Author)Description:(This is a RePrint) - During The Last Decades Great Progress Has Been Made In Understanding The Structure And Function Of Single Nerve Cells However, Little Is Known About The Global Organization Of Connections Between Cortical Areas And How This Structural Cortical Network Relates To Function As Measured By Functional Imaging Or Electro-Encephalograms (Eeg) In This Work, I Therefore Studied The Organization, Development And Robustness Of Cortical, As Well As Other Biological Networks, Using Methods Of Network Analysis Chapter 1 Gives A Brief Introduction To Networks In Biology And Outlines Previous Concepts As Well As Novel Approaches Of Network Analysis Chapter 2 Presents The Data Sources For Biological As Well As Non-Biological Networks Used In This Study In Addition, Limitations Of The Available Data And Validity Of Results Based On Incomplete Data Sets Are Discussed Chapter 3 Examines The Organization Of Neural Systems And Important Constraints For Shaping Them The Spatial Network Of Macaque Cortical Connections Shows Surprisingly Many Long-Distance Connections In Addition, Area Positions In The Macaque Cortical As Well As The C Elegans Neural Networks Could Be Rearranged So That Total Wiring Length Can Be Reduced By Up To 64 Of The Original Value I Show That Despite Their High Resource Consumption, Long-Distance Connections Help To Minimize The Number Of Intermediate Nodes, Which Leads To Lower Time Delay, Less Interference, And Higher Synchrony In The Network Chapter 4 Deals With The Growth Of Networks In Space I Designed A Developmental Algorithm That Takes Into Account Distance Between Nodes And Which Yields Networks That Are Alike Various Spatial Networks From Metabolic Networks To The German Highway System Such Spatial Growth Can Generate Networks That Are Comparable To Cat And Macaque Cortical Networks Both In Respect To Neighborhood Clustering, Number Of Intermediate Nodes And Total Wiring Length In Addition, The Inclusion Of Time Windows For Development Can Lead To A Defined Cluster Architecture As Observed For Cortical Networks Chapter 5 Analyzes The Measurement Of Robustness In Biological Networks As Well As Possible Underlying Causes For High Robustness Towards Unspecific Removal Of Edges Or Nodes Biological Networks Are Remarkably Robust And I Tested Different Measures To Predict The Effect Of Removing Edges From The Networks In Addition, Cortical Networks Show Similar Behavior After Removal Of Network Components As Scale-Free Networks The Existence Of Clusters And Of Highly-Connected Nodes Results In Enhanced Average-Case Robustness After Removal Of Edges Or Nodes Using Multiple Lesions, I Found That In Some Cases The Effect Differed From The Effect That Was Predicted From Single Lesions Therefore, Multiple Lesion Analysis Could Become A Framework To Predict Or Explain 'Unexpected' Effects Of Experimental Lesions (Or Multiple Gene Knock-Outs In Metabolic Systems) Chapter 6 Presents A General Discussion As Well As An Outlook On Future Research Including Possible Technical Applications Of The Current Results As The Approach Of Network Analysis Is Relatively New To The Neurosciences, A Glossary Of Key Terms Is Also Provided This Book Is A Phd Thesis Submitted In July 2005] Binding:Paperback, PaperbackPublisher:Createspace Independent Publishing PlatformPublication Date:2005-09-01Weight:1.29 lbsDimensions:0.46'' H x 11.02'' L x 8.5'' WNumber of Pages:178Language:English

Price: 33.13 USD

Location: USA

End Time: 2025-01-22T05:18:27.000Z

Shipping Cost: 0 USD