most citedAn Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications

90 citations

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2 papers

cs.LG2019★ 90 cited

An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications

Hyeryung Jang, Osvaldo Simeone, Brian Gardner +1

Spiking neural networks (SNNs) are distributed trainable systems whose computing elements, or neurons, are characterized by internal analog dynamics and by digital and sparse synap…

q-bio.BM2014★ 22 cited

Affinity, stoichiometry and cooperativity of heterochromatin protein 1 (HP1) binding to nucleosomal arrays

Vladimir B. Teif, Nick Kepper, Klaus Yserentant +2

Heterochromatin protein 1 (HP1) participates in establishing and maintaining heterochromatin via its histone modification dependent chromatin interactions. In recent papers HP1 bin…