Spontaneous network activity in the form of Up and Down states plays an important role in the function of neural circuits and reflects intrinsic connectivity. Such cortical dynamics are shaped by genes, experience and intrinsic cellular properties and form the substrate upon which external stimuli and neuromodulation will impinge to determine cortical responses. Read the rest of this entry…
When visual evoked potentials (VEPs) are deployed in brain–computer interfaces (BCIs), the emphasis is put on stimulus design. In the case of transient VEPs (TVEPs) brain responses are never treated individually, i.e. on a single-trial (ST) basis, due to their poor signal quality. Therefore their main characteristic, which is the emergence during early latencies, remains unexplored. Read the rest of this entry…
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.
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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