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Roudi, Yasser
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Hertz, J., Roudi, Y. & Tyrcha, J. (2013). Ising models for inferring network structure from spike data. In: Principles of Neural Coding: (pp. 527-546). CRC Press
Open this publication in new window or tab >>Ising models for inferring network structure from spike data
2013 (English)In: Principles of Neural Coding, CRC Press , 2013, p. 527-546Chapter in book (Other academic)
Abstract [en]

Now that we can record the spike trains of large numbers of neurons simultaneously, we have a chance, for the first time in the history of neuroscience, to start to understand how networks of neurons work. But how are we to proceed, once we have such data? In this chapter, we will review some ideas we have been developing. The reader will recognize that we are only describing the very first steps in a long journey. But we hope that they will help point the way toward real progress some time in the not-too-distant future. 

Place, publisher, year, edition, pages
CRC Press, 2013
National Category
History of Ideas
urn:nbn:se:kth:diva-246584 (URN)10.1201/b14756 (DOI)000316056900002 ()2-s2.0-85054755730 (Scopus ID)

QC 20190614

Available from: 2019-06-14 Created: 2019-06-14 Last updated: 2019-06-14Bibliographically approved

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