Investigators
David Carlson
1. Define context(s)
reveal new biological insights
Primary goal of the model/tool/database
The primary goal of this tool is to learn electrical connectome networks of activity from multi-region brain recordings. The inferred networks vary in strength over time, are consistent between animals in a mouse model, and are relevant to neuropsychiatric disorders (e.g., in a mouse model of depression).
Biological domain of the model
Neuroscience; modeling of electrophysiological signals
Structure(s) of interest in the model
Multiple brain regions
Spatial scales included in the model
Multiple brain regions
Time scales included in the model
.5s-5s
2. Data for building and validating the model
Data for building the model |
Published? |
Private? |
How is credibility checked? |
Current Conformance Level / Target Conformance Level |
in vitro (primary cells cell, lines, etc.) |
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ex vivo (excised tissues) |
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in vivo pre-clinical (lower-level organism or small animal) |
Yes |
Currently; will be released at the conclusion of the grant/study. |
The data is scanned by a trained bench scientist, and results are checked with cross-validation. |
Adequate |
in vivo pre-clinical (large animal) |
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Human subjects/clinical |
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Other: ________________________ |
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Data for validating the model |
Published? |
Private? |
How is credibility checked? |
Current Conformance Level / Target Conformance Level |
in vitro (primary cells cell, lines, etc.) |
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ex vivo (excised tissues) |
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in vivo pre-clinical (lower-level organism or small animal) |
Yes |
Currently; will be released at the conclusion of the grant/study. |
Cross-validation techniques. |
Adequate |
in vivo pre-clinical (large animal) |
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Human subjects/clinical |
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Other: ________________________ |
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3. Validate within context(s)
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Who does it? |
When does it happen? |
How is it done? |
Current Conformance Level / Target Conformance Level |
Verification |
Results and code are reviewed by computational and bench scientists. |
Throughout development |
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Adequate |
Validation |
Developers have done validations. |
Throughout development |
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Adequate |
Uncertainty quantification |
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Sensitivity analysis |
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Other:__________ |
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Additional Comments |
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4. Limitations
Disclaimer statement (explain key limitations) |
Who needs to know about this disclaimer? |
How is this disclaimer shared with that audience? |
Current Conformance Level / Target Conformance Level |
Has only been tested on multi-region local field potential recordings. |
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Partial |
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5. Version control
Current Conformance Level / Target Conformance Level |
Partial |
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Naming Conventions? |
Repository? |
Code Review? |
individual modeler |
Yes |
Yes |
Partial |
within the lab |
No |
Yes |
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collaborators |
No |
Yes |
Partial |
6. Documentation
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Current Conformance Level / Target Conformance Level |
Code commented? |
Partial |
Scope and intended use described? |
Partial |
User’s guide? |
Partial |
Developer’s guide? |
Partial |
7. Dissemination
Current Conformance Level / Target Conformance Level |
Adequate |
Target Audience(s): |
“Inner circle” |
Scientific community |
Public |
Simulations |
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Models |
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http://papers.nips.cc/paper/7260-cross-spectral-factor-analysis;https://arxiv.org/abs/2004.05209 |
Software |
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https://github.com/carlson-lab/encodedSupervision |
Results |
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https://www.sciencedirect.com/science/article/pii/S0092867418301569 |
Implications of results |
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https://www.jneurosci.org/content/38/7/1601.abstract |
8. Independent reviews
Current Conformance Level / Target Conformance Level |
Partial |
Reviewer(s) name & affiliation: |
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When was review performed? |
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How was review performed and outcomes of the review? |
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9. Test competing implementations
Current Conformance Level / Target Conformance Level |
Insufficient |
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Yes or No (briefly summarize) |
Were competing implementations tested? |
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Did this lead to model refinement or improvement? |
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