217 citations · 1.3k across the 32 of their papers we have counts for
4 papers · 1 filter
The Effect of Nonstationarity on Models Inferred from Neural Data
Joanna Tyrcha, Yasser Roudi, Matteo Marsili +1
Neurons subject to a common non-stationary input may exhibit a correlated firing behavior. Correlations in the statistics of neural spike trains also arise as the effect of interac…
Ising Models for Inferring Network Structure From Spike Data
John Hertz, Yasser Roudi, Joanna Tyrcha
Now that spike trains from many neurons can be recorded simultaneously, there is a need for methods to decode these data to learn about the networks that these neurons are part of.…
The Ising Model for Neural Data: Model Quality and Approximate Methods for Extracting Functional Connectivity
Yasser Roudi, Joanna Tyrcha, John Hertz
We study pairwise Ising models for describing the statistics of multi-neuron spike trains, using data from a simulated cortical network. We explore efficient ways of finding the op…
Pairwise maximum entropy models for studying large biological systems: when they can and when they can't work
Yasser Roudi, Sheila Nirenberg, Peter Latham
One of the most critical problems we face in the study of biological systems is building accurate statistical descriptions of them. This problem has been particularly challenging b…