A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to wavelets
Data clustering using a model granular magnet
Neural Computation
Independent component analysis: algorithms and applications
Neural Networks
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
Local Field Potentials and Spikes in the Human Medial Temporal Lobe are Selective to Image Category
Journal of Cognitive Neuroscience
Sorting of neural spikes: When wavelet based methods outperform principal component analysis
Natural Computing: an international journal
Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Writer Identification Using Super Paramagnetic Clustering and Spatio Temporal Neural Network
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
An advanced spike detection and sorting system
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Stability of neural firing in the trigeminal nuclei under mechanical whisker stimulation
Computational Intelligence and Neuroscience - Special issue on signal processing for neural spike trains
Journal of Computational Neuroscience
The method of spike feature extraction based on HHT
Proceedings of the 4th International Convention on Rehabilitation Engineering & Assistive Technology
Input separability in living liquid state machines
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
Tools for controlled experiments and calibration on living tissues cultures
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Selection of the optimal microelectrode during DBS surgery in Parkinson's patients
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
IWINAC'05 Proceedings of the First international conference on Mechanisms, Symbols, and Models Underlying Cognition: interplay between natural and artificial computation - Volume Part I
Evolving mean shift with adaptive bandwidth: a fast and noise robust approach
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
In quest of the missing neuron: Spike sorting based on dominant-sets clustering
Computer Methods and Programs in Biomedicine
A system for behavior prediction based on neural signals
Neurocomputing
Uncovering the neural code using a rat model during a learning control task
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
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This study introduces a new method for detecting and sorting spikes from multiunit recordings. The method combines the wavelet transform, which localizes distinctive spike features, with superparamagnetic clustering, which allows automatic classification of the data without assumptions such as low variance or gaussian distributions. Moreover, an improved method for setting amplitude thresholds for spike detection is proposed. We describe several criteria for implementation that render the algorithm unsupervised and fast. The algorithm is compared to other conventional methods using several simulated data sets whose characteristics closely resemble those of in vivo recordings. For these data sets, we found that the proposed algorithm outperformed conventional methods.