Comments (1)
There always exists a standard alignment that aligns waveforms based on the minimum point of the waveforms. The alignment option in auto-sorting is for the multi-point alignment introduced in our paper. Parameters of multi-point alignment and statistical filtering need to be modified based on your data. You probably need to modify them for one session with try and error and use that for the rest of your data. Check the interpretation of the parameters in our documentation.
BTW, since we have not seen this error in our lab, if you send me a sample of your data, I can check and resolve the error to improve ROSS.
from ross.
Related Issues (9)
- About the Open-ephys Binary format (.dat) raw data HOT 1
- "GET / HTTP/1.1" 404 -
- Startup not working HOT 5
- Unknown number of toolboxes necessary HOT 3
- Adding Dockerfile for Backend HOT 1
- Error: [Errno 98] Address already in use - Issue Report HOT 2
- Using issues HOT 2
- ResolvePackageNotFound: Error HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ross.