NeuroCa: Data analysis toolbox for optical neurophysiology
What is NeuroCa?
NeuroCa is a stand-alone toolbox based on Matlab for automated processing and quantitative analysis of optically recorded neural activity data.
Features
Download
References
1. M.J. Jang and Y. Nam, "NeuroCa: Integrated framework for systematic analysis of spatio-temporal neuronal activity patterns from large-scale optical recording data," Neurophoton., 2(3), 035003 (2015). (Link) (pdf)
Contact
For technical questions and feedback, please send an email to Prof. Yoonkey Nam (email)
NeuroCa is a stand-alone toolbox based on Matlab for automated processing and quantitative analysis of optically recorded neural activity data.
Features
- Automated identification of single cells from imaging data
- Detection of spikes from fluorescent signals of each neuron
- Spike train analyses with quantitative measures (firing rate, inter-spike interval, spike amplitude)
- Cross-correlation
- Spatiotemporal mapping of neuronal firing patterns in synchronous activity
- Support of various image types
- Creation of MAT-type result files for custom analysis in Matlab
- Convenient, user-friendly interfaces for each function
Download
- To acquire a download link, please email ynam (at) kaist.ac.kr
References
1. M.J. Jang and Y. Nam, "NeuroCa: Integrated framework for systematic analysis of spatio-temporal neuronal activity patterns from large-scale optical recording data," Neurophoton., 2(3), 035003 (2015). (Link) (pdf)
Contact
For technical questions and feedback, please send an email to Prof. Yoonkey Nam (email)
