Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Authors: Heejong Bong, Zongge Liu, Zhao Ren, Matthew Smith, Valerie Ventura, Robert E. Kass
NeurIPS 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Simulations show that LDFA-H outperforms existing methods in the sense that it captures target factors even when within-region correlation due to noise dominates cross-region correlation. We applied our method to local field potential (LFP) recordings from 192 electrodes in Prefrontal Cortex (PFC) and visual area V4 during a memory-guided saccade task. The results capture time-varying lead-lag dependencies between PFC and V4, and display the associated spatial distribution of the signals. |
| Researcher Affiliation | Academia | Heejong Bong , Zongge Liu Carnegie Mellon University hbong, zonggel@andrew.cmu.edu Zhao Ren University of Pittsburgh zren@pitt.edu Matthew A. Smith, Valérie Ventura, Robert E. Kass Carnegie Mellon University msmith, vventura, kass@andrew.cmu.edu |
| Pseudocode | No | The paper refers to Appendix A for full formulations of the EM algorithm but does not contain any pseudocode or algorithm blocks in the main text. |
| Open Source Code | Yes | The code is provided at https://github.com/Heejong Bong/ldfa. |
| Open Datasets | Yes | We now report the analysis of LFP data in areas PFC and V4 of a monkey during a saccade task, provided by Khanna et al. (2020). |
| Dataset Splits | Yes | We determine the remaining parameters λcross and q by 5-fold cross-validation (CV). |
| Hardware Specification | Yes | a single iteration of E and M-steps on our cluster server (with 11 Intel(R) Xeon(R) CPU 2.90GHz processors) |
| Software Dependencies | No | No specific software dependencies with version numbers are listed in the paper. |
| Experiment Setup | Yes | We applied LDFA-H using hauto = hcross = 10, corresponding to 100 ms (at 100 Hz)... The other tuning parameters were determined by 5-fold CV over λcross {0.0002, 0.002, 0.02, 0.2} and q {5, 10, 15, 20, 25, 30}, yielding optimal values λcross = 0.02 and q = 10. |