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Code Analysis, Repository and Modelling for e-Neuroscience

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Presentation on theme: "Code Analysis, Repository and Modelling for e-Neuroscience"— Presentation transcript:

1 Code Analysis, Repository and Modelling for e-Neuroscience
Creating a virtual laboratory for neurophysiological data

2 Analysts provide the tools to statistically and mathematically describe the data
Theoreticians and modellers need data and can provide predictions to experimentalists Experimentalists obtain original data to test hypotheses and derive new knowledge

3 Access Portal through www.carmen.org.uk
Click on link to access the portal

4 Registration Open to all Academic Users
Automatic Registration for New Users

5 Organisation of Workspace
Workspace divided into repository of resources (left hand window) and information and activity (right hand window)

6 Organisation of Data Data you have permission to access are organised into ‘personal’, ‘shared’ and ‘public’ folders

7 Entering Data and Metadata
Upload of new data generates metadata forms. Pre-compiled templates speeds upload process

8 Entering Data and Metadata
Expanding windows are used for collecting the metadata

9 Entering Data and Metadata
A browser allows you to select files to upload to the platform

10 Setting Security Attributes
You have options to make data and metadata private, shared with collaborators, or public.

11 Setting Security Attributes
Typing part of a name, address or suggests possible registered users for sharing

12 Finding Resources in the Repository
Search function using multiple terms enables users to find appropriate resources

13 Viewing Metadata and Annotations
Metadata can be accessed to understand any resources and those with permission can add annotations

14 Viewing Data Files Time series data files can be viewed by launching the thick client tool ‘Signal Data Explorer’

15 Viewing Time-Series Data Files
Multiple views can be used to explore the data, including multielectrode array view

16 Pattern matching function allows feature searching and averaging

17 Execute Services Services are uploaded and shared like data. Available services can be added to ‘Favourites’ list in the resources.

18 Associated metadata describe the function and required parameters
Execute Services Associated metadata describe the function and required parameters

19 Set Service Parameters through Interface
Parameters are entered using an automatically generated entry form

20 Service Log A Service Log monitors progress with executed services and shows results of prior services

21 Service Results Output
On completion results are written to the resources directory and can be viewed

22 Common File Format (NDF)
An internal file format (NDF) allows services to run across multiple data types. A service converts files from original formats.

23 NDF will enable services to be linked into more complex workflows
Workflow Software NDF will enable services to be linked into more complex workflows

24 Tutorials and ‘How to’s
Tutorials and ‘How to’s demonstrate the operation of the portal. Step-by-step guides appear in a separate window


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