Exppipeline

D 59 completed
Data Tool
unknown / objective-c · small
189
Files
18,198
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#370439
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
70.00
Framework unique
Isolation
Last stage change
2026-05-10 03:35:02
Deduplication group #54583
Member of a group with 3 similar repo(s) — canonical #63764 view group →
Top concepts (1)
Project Description
If a scraper extracted this row, it came from Repobility (https://repobility.com)

AI Prompt

Create a MATLAB pipeline for analyzing electrophysiology data, similar to what's used in the Coen Lab. The pipeline needs to handle several key tasks: generating figures using scripts in directories like `+fig1/` through `+fig5/`, fitting statistical models such as GLMs and psychometric curves found in `+fit/`, and integrating Kilosort utilities from `+kil/`. It should also include functionality for spatial inactivation analysis and utilize helper scripts for tasks like flat brain cortex mapping. Remember to configure necessary data paths using a `masterPaths.m` file.
matlab electrophysiology neuroscience data-analysis matlab-toolbox signal-processing statistics figure-generation
Generated by gemma4:latest

Catalog Information

A MATLAB pipeline that processes electrophysiology data, generates figures, fits statistical models, and performs spatial inactivation analysis for neuroscience experiments.

Description

This MATLAB-based pipeline is designed for neuroscientists working with electrophysiology recordings. It provides modular scripts for generating publication‑ready figures, fitting generalized linear models, and modeling psychometric curves. The pipeline integrates Kilosort spike‑sorting outputs and offers utilities for flat‑brain cortex mapping and probe configuration. Spatial inactivation analysis is encapsulated in a dedicated class with sixteen methods, enabling detailed exploration of cortical dynamics. The tool streamlines data processing, statistical analysis, and visualization, making it easier to translate raw recordings into interpretable results.

الوصف

يُعد هذا الخط الأنابيب مبنيًا على MATLAB مخصصًا للباحثين في علم الأعصاب الذين يعملون مع تسجيلات الفيزيولوجيا الكهربائية. يوفّر مجموعة من السكربتات القابلة للتجزئة لإنشاء رسومات جاهزة للنشر، وتطبيق نماذج خطية عامة، وتقدير منحنيات النفسية. يدمج الخط الأنابيب نتائج فرز النبضات من Kilosort ويشمل أدوات لتخطيط القشرة الدماغية المسطحة وتكوين المجسات. يتم تجميع تحليل الإيقاف المكاني في فئة مخصصة تتضمن ستة عشر طريقة، ما يتيح استكشافًا تفصيليًا لديناميكيات القشرة. يسهّل هذا الأداة معالجة البيانات، التحليل الإحصائي، والتصوير البصري، مما يجعل تحويل التسجيلات الخام إلى نتائج قابلة للتفسير أكثر سلاسة.

Novelty

6/10

Tags

electrophysiology-data-analysis neural-recording-processing statistical-modeling figure-generation spatial-inactivation-analysis psychometric-curve-fitting spike-sorting-integration

Claude Models

claude-opus-4.6

Quality Score

D
59.2/100
Structure
45
Code Quality
83
Documentation
52
Testing
0
Practices
78
Security
100
Dependencies
50

Strengths

  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 856 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Address 24 TODO/FIXME items \u2014 consider tracking them as issues

Security & Health

20.1h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (3)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
MIT
License
39.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

objective-c
99.9%
markdown
0.1%
text
0.0%

Frameworks

None detected

Concepts (1)

Analysis by Repobility (https://repobility.com) · MCP-ready
CategoryNameDescriptionConfidence
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
auto_descriptionProject DescriptionMATLAB analysis pipeline for electrophysiology experiments in the Coen Lab. Includes figure generation scripts, GLM fitting, Kilosort integration, psychometric curve fitting, and spatial inactivation analysis.80%

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1 quality score recorded.

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