Analysis of neural recordings from auditory cortex of awake and behaving Mongolian gerbils, tasked with detecting target sounds in presence of fluctuating background interference, commonly referred to as the cocktail party problem, or more specifically modulation masking release (MMR).
This project is a part of my PhD dissertation in the Neural Engineering of Speech and Hearing (NESH) lab at New Jersey Institute of Technology (NJIT) and Rutgers University, and was supported by funding from NIH NIDCD R03-DC014008. EARS, the data acquisition complement to this project can be found at: https://github.com/nalamat/ears
Raw behavioral and neural data are available upon reasonable request.
A concise version of the processing pipeline used for neural signals is shown below along with plots for a representative unit.
Putative neural units are automatically detected using PCA and K-means clustering, followed by manual inspection and labeling as single- or multi-unit. (See Hill et al. 2012)
Pooled neural activity across all phasic-units shows an opposite direction of activation at negative signal-to-noise ratios. This observation is further supported by repeated measures ANOVA.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
Visit the project page at GitHub: https://github.com/nalamat/ephys
Visit lab website: https://centers.njit.edu/nesh
Team members:
- Prof. Antje Ihlefeld (PI)
- Dr. Pelin Avcu
- Madhusudan Duwadi
- Sravana Nuti
- Kinjal Mody
Feel free to email me about anything at:
- Nima Alamatsaz: nima.alamatsaz@gmail.com