Machine Learning
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Sorting of neural spikes: When wavelet based methods outperform principal component analysis
Natural Computing: an international journal
Decision functions that can support a hippocampal model
Neurocomputing
Information Processing Letters
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Modeling the brain has been a major scientific endeavor in the last few decades. Models can be at different levels of abstraction like chemical, cellular, region etc. Limitations in physical experimental setup will create poor model, if a regular pattern classifier system is used. This paper proposes a pattern recognition system to classify/predict animal behavior based on hippocampal signals. This system, takes into account the practical constraints during acquisition of the neural signal. The system performance for action classification is tested using multiple databases and percentage misclassification as low as 3.25% was obtained.