activity
19982018
most citedThe Ising Model for Neural Data: Model Quality and Approximate Methods for Extracting Functional Connectivity

217 citations · 734 across the 24 of their papers we have counts for

collaborators

24 papers

physics.bio-ph2018★ 3 cited

Stochastic activation in a genetic switch model

John Hertz, Joanna Tyrcha, Alvaro Correales

We study a biological autoregulation process, involving a protein that enhances its own transcription, in a parameter region where bistability would be present in the absence of fl…

cond-mat.dis-nn2016★ 78 cited

Path integral methods for the dynamics of stochastic and disordered systems

John A. Hertz, Yasser Roudi, Peter Sollich

We review some of the techniques used to study the dynamics of disordered systems subject to both quenched and fast (thermal) noise. Starting from the Martin-Siggia-Rose path integ…

cond-mat.dis-nn2014★ 19 cited

Belief-Propagation and replicas for inference and learning in a kinetic Ising model with hidden spins

Claudia Battistin, John Hertz, Joanna Tyrcha +1

We propose a new algorithm for inferring the state of hidden spins and reconstructing the connections in a synchronous kinetic Ising model, given the observed history. Focusing on…

math.ST2014★ 43 cited

Cumulants of Hawkes point processes

Stojan Jovanović, John Hertz, Stefan Rotter

We derive explicit, closed-form expressions for the cumulant densities of a multivariate, self-exciting Hawkes point process, generalizing a result of Hawkes in his earlier work on…

cond-mat.dis-nn2013★ 23 cited

Network Inference with Hidden Units

Joanna Tyrcha, John Hertz

We derive learning rules for finding the connections between units in stochastic dynamical networks from the recorded history of a ``visible'' subset of the units. We consider two…

stat.ME2012

L Regularization for Reconstruction of a non-equilibrium Ising Model

Hong-Li Zeng, John Hertz, Yasser Roudi

The couplings in a sparse asymmetric, asynchronous Ising network are reconstructed using an exact learning algorithm. L regularization is used to remove the spurious weak conne…