The decision about the actual number of active neurons is an open issue in spike sorting, with sparsely firing neurons and background activity the most influencing factors. Dominant-sets clustering algorithm is a graph-theoretical algorithmic procedure that successfully addresses this issue. The quality of grouping in the data is evaluated with the estimation of ‘cohesiveness’, i.e. a cluster-quality measure, for each group.

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.

Read the rest of this entry…

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…

SAN 2011 abstract in Neuroscience Letters 2011, vol. 500(Suppl.), e32-33. Read the rest of this entry…

Index

 

August 2014
M T W T F S S
« Jun    
 123
45678910
11121314151617
18192021222324
25262728293031

Archives

  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005

Supporters

Feeds

License

Thematic Categories

Neurobot on Twitter

RSS Neuroinformatics news

RSS IEEE Spectrum Biomedical