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20
Sep
Applications of clustering algorithms in biomedical research are ubiquitous. However, due to the diversity of cluster analysis, the diversity of critical elements underlying different clustering algorithms can be daunting.
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12
Sep
Spike sorting algorithms aim at decomposing complex extracellular signals to independent events from single neurons in the electrode’s vicinity. The decision about the actual number of active neurons is still an open issue, with sparsely firing neurons and background activity the most influencing factors. Read the rest of this entry…
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14
Mar
Preprint of the forthcoming book chapter ‘Extracellular spikes and current-source density’ featuring the numerical framework biophysics for the calculation of extracellular potentials from transmembrane currents in multi-compartment neuron models, using the line-source method (Holt & Koch, J Comp Neurosci 1999).
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9
Mar
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
Download the book PDF (corrected 5th printing) here:
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- Postdoctoral position in Experimental / Theoretical Neuroscience in Heraklion, Crete
- Postdoctoral Research Position at Carnegie Mellon University
- Position in Theoretical Neuroscience
- Post-doctoral position in Theoretical Neuroscience at INRIA
- BCCN Doctoral Program on “Sensory Computation in Neural Systems”
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Biometrics Computational Neuroscience CPG LFP Noise Machine Learning Sparse neurons Wavelets neural recordings Information Theory Modelling Dimensionality Reduction Neural Networks Clustering Statistical Analysis Neurophysiology Brain Interfaces Spike Sorting Brain Research
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