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New products
New products
Statistical Signal Processing for Neuroscience and Neurotechnology
Free shipping
free shipping in Poland for all orders over 500 PLN
Same day shipping
If your payment will be credited to our account by 11:00
14 days for return
Each consumer can return the purchased goods within 14 days
Written by neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the principles of the neuroscience.
- A comprehensive overview of problems and techniques in a community
- Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research
- Presents quantitative and information-driven, and translational neuroscience problems
Introduction; Detection and Classification of Extracellular Action Potential Recordings; Information-Theoretic Analysis of Neural Data; Identification of Nonlinear Dynamics in Neural Population Activity; Graphical Models of Functional and Effective Neuronal Connectivity; State-Space Modeling of Neural Spike Train and Behavioral Data; Neural Decoding for Motor and Communication Prostheses; Inner Products for Representation and Learning in the Spike Train Domain; Signal Processing and Machine Learning for Single-trial Analysis of Simultaneously Acquired EEG and fMRI; Statistical Pattern Recognition and Machine Learning in Brain-Computer Interfaces; Prediction of Muscle Activity from Cortical Signals to Restore Hand Grasp in People with Spinal Cord Injury:
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