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Non-stationary distributed source approximation: an alternative to improve localization procedures

MOOCs associés (30)
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The activity of neurons in the brain and the code used by these neurons is described by mathematical neuron models at different levels of detail.
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Digital Signal Processing I
Basic signal processing concepts, Fourier analysis and filters. This module can be used as a starting point or a basic refresher in elementary DSP
Digital Signal Processing II
Adaptive signal processing, A/D and D/A. This module provides the basic tools for adaptive filtering and a solid mathematical framework for sampling and quantization
Digital Signal Processing III
Advanced topics: this module covers real-time audio processing (with examples on a hardware board), image processing and communication system design.
Digital Signal Processing IV
Advanced topics: this module covers real-time audio processing (with examples on a hardware board), image processing and communication system design.
Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition
This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to analyze the collective dynamics of thousands of interacting neurons.
Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition
This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to analyze the collective dynamics of thousands of interacting neurons.
Neuroscience Reconstructed: Cell Biology
This course will provide the fundamental knowledge in neuroscience required to understand how the brain is organised and how function at multiple scales is integrated to give rise to cognition and beh
Neuroscience Reconstructed: Cell Biology
This course will provide the fundamental knowledge in neuroscience required to understand how the brain is organised and how function at multiple scales is integrated to give rise to cognition and beh

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