Spike Detection and Clustering With Unsupervised Wavelet Optimization in Extracellular Neural Recordings.
Vahid ShalchyanWinnie JensenDario FarinaPublished in: IEEE Trans. Biomed. Eng. (2012)
Keyphrases
- unsupervised learning
- clustering algorithm
- clustering method
- unsupervised classification
- network architecture
- neural network
- information bottleneck
- optimization algorithm
- data clustering
- detection method
- anomaly detection
- optimization problems
- unsupervised manner
- multiscale
- unsupervised clustering
- spike trains
- cluster validation
- continuous wavelet transform
- anti noise
- object detection
- unsupervised feature selection
- information theoretic
- wavelet transform
- k means
- supervised classification
- agglomerative clustering
- supervised learning
- wavelet decomposition
- detection algorithm
- completely unsupervised
- wavelet coefficients
- optimization method
- self organizing maps
- multiresolution
- action potentials
- spectral clustering
- expectation maximization
- false positives
- feature space
- denoising
- neural model
- bio inspired
- associative memory
- hierarchical clustering
- cluster analysis