| Name | Version | Summary | date |
| space-breakdown-method |
0.0.2 |
Space Breakdown Method (SBM) is a clustering algorithm developed for Spike Sorting handling overlapping and imbalanced data. Improved Space Breakdown Method (ISBM) is the updated and improved version of SBM. A new algorithm for the detection of brain oscillations packets has been developed based on SBM, called Time-Frequency Breakdown Method (TFBM) |
2024-05-08 07:07:38 |
| tfbm |
0.0.2 |
The Time-Frequency Breakdown Method (TFBM) was developed for the detection of brain oscillations in time-frequency representations (such as spectrograms obtained from the Fourier Transform). |
2024-05-08 06:22:09 |
| spike-cluster-score |
0.0.1 |
Spike Cluster Score (SCS) is a clustering performance metric designed with the purpose of spike sorting in mind |
2024-05-08 06:01:22 |
| tensor-maximum-entropy |
0.0.2 |
Python implementation of the Tensor Maximum Entropy (TME) |
2024-05-08 05:44:53 |
| corrected-fisher-randomization |
0.0.2 |
Python implementation of the Corrected Fisher Randomization (CFR) |
2024-05-08 05:44:52 |
| pulse-coupled-nn |
0.0.6 |
Python implementation of the Pulse Coupled Neural Network (PCNN) |
2024-05-08 05:43:00 |
Eugen-Richard Ardelean