Yasser Roudi

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Neural network reconstruction using kinetic Ising models with memory

Aree Witoelar, Yasser Roudi, 2011, BMC Neuroscience.

Fast and reliable methods for extracting functional connectivity in large populations

John Hertz, Yasser Roudi, Joanna Tyrcha, 2009, BMC Neuroscience.

The Neural Circuit for Spatial Representation

Yasser Roudi, 2012 .

Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't

Peter E. Latham, Sheila Nirenberg, Yasser Roudi, 2008, PLoS Comput. Biol..

Minimum Description Length Codes Are Critical

Matteo Marsili, Ryan John Cubero, Yasser Roudi, 2018, Entropy.

Multi-neuronal activity and functional connectivity in cell assemblies

Yasser Roudi, Benjamin Dunn, John Hertz, 2015, Current Opinion in Neurobiology.

Finding informative neurons in the brain using Multi-Scale Relevance

Matteo Marsili, Ryan John Cubero, Yasser Roudi, 2018 .

Sparse model selection in the highly under-sampled regime

Matteo Marsili, Yasser Roudi, Nicola Bulso, 2016, 1603.00952.

Representing Where along with What Information in a Model of a Cortical Patch

Alessandro Treves, Yasser Roudi, A. Treves, 2008, PLoS Comput. Biol..

A Balanced Memory Network

Peter E. Latham, Yasser Roudi, P. Latham, 2007, PLoS Comput. Biol..

Multiscale relevance and informative encoding in neuronal spike trains

Matteo Marsili, Ryan John Cubero, Yasser Roudi, 2020, Journal of Computational Neuroscience.

Inferring network connectivity using kinetic Ising models

Erik Aurell, Hong-Li Zeng, Yasser Roudi, 2010, BMC Neuroscience.

Frontiers in Computational Neuroscience

Erik Aurell, John A. Hertz, Yasser Roudi, 2022 .

Mutual Information

Peter E. Latham, Yasser Roudi, P. Latham, 2006 .

Learning with hidden variables

Yasser Roudi, Graham Taylor, Y. Roudi, 2015, Current Opinion in Neurobiology.

Ising model for inferring network structure from spike data : In Principal of Neural Coding

John Hertz, Yasser Roudi, Joanna Tyrcha, 2013 .

Ising Models for Inferring Network Structure From Spike Data

John Hertz, Yasser Roudi, Joanna Tyrcha, 2011, 1106.1752.

Learning with unknowns: Analyzing biological data in the presence of hidden variables

Yasser Roudi, Claudia Battistin, Benjamin Dunn, 2017 .

The Neural Encoding of Space in Parahippocampal Cortices

Lisa M. Giocomo, Yasser Roudi, 2012, Front. Neural Circuits.

A Virtual Retina for Studying Population Coding

Sheila Nirenberg, Illya Bomash, Yasser Roudi, 2013, PloS one.

On the Complexity of Logistic Regression Models

Matteo Marsili, Yasser Roudi, Nicola Bulso, 2019, Neural Computation.

Special issue on modelling and inference in the dynamics of complex interaction networks: advanced approximation techniques

Peter Sollich, Yasser Roudi, Manfred Opper, 2015 .

Grid cells in an inhibitory network

Yasser Roudi, Edvard I Moser, E. Moser, 2014, Nature Neuroscience.

Network inference from non-stationary spike trains

John Hertz, Yasser Roudi, Joanna Tyrcha, 2011, BMC Neuroscience.

Efficiency of local learning rules in threshold-linear associative networks

Alessandro Treves, Yasser Roudi, Francesca Schönsberg, 2020 .

Correlations and Functional Connections in a Population of Grid Cells

Yasser Roudi, Benjamin Dunn, Maria Mørreaunet, 2014, PLoS Comput. Biol..

Restricted Boltzmann Machines as Models of Interacting Variables

Yasser Roudi, Nicola Bulso, Y. Roudi, 2021, Neural Computation.

An associative network with spatially organized connectivity

Alessandro Treves, Yasser Roudi, 2004 .

On sampling and modeling complex systems

Matteo Marsili, Yasser Roudi, Iacopo Mastromatteo, 2013, 1301.3622.

Dynamical TAP equations for non-equilibrium Ising spin glasses

Yasser Roudi, John Hertz, J. Hertz, 2011, 1103.1044.

Learning and inference in a nonequilibrium Ising model with hidden nodes.

Yasser Roudi, Benjamin Dunn, Benjamin A. Dunn, 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

Network mechanisms of grid cells

Yasser Roudi, Edvard I. Moser, May-Britt Moser, 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

Grid cells show field-to-field variability and this explains the aperiodic response of inhibitory interneurons

Yasser Roudi, Benjamin Dunn, Ziwei Huang, 2017, bioRxiv.

Effect of coupling asymmetry on mean-field solutions of the direct and inverse Sherrington–Kirkpatrick model

Yasser Roudi, Jason Sakellariou, John Hertz, 2011, 1106.0452.

L1 regularization for reconstruction of a non-equilibrium Ising model

Hong-Li Zeng, Yasser Roudi, John Hertz, 2012, 1211.3671.

Maximum likelihood reconstruction for Ising models with asynchronous updates.

Erik Aurell, Hong-Li Zeng, Yasser Roudi, 2013, Physical review letters.

Disappearance of spurious states in analog associative memories.

Alessandro Treves, Yasser Roudi, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

Path integral methods for the dynamics of stochastic and disordered systems

John A. Hertz, Peter Sollich, Yasser Roudi, 2016, 1604.05775.

Localized activity profiles and storage capacity of rate-based autoassociative networks.

Alessandro Treves, Yasser Roudi, A. Treves, 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

Variational perturbation and extended Plefka approaches to dynamics on random networks: the case of the kinetic Ising model

Manfred Opper, Yasser Roudi, Claudia Battistin, 2016, 1607.08379.

The effect of nonstationarity on models inferred from neural data

Matteo Marsili, Yasser Roudi, Joanna Tyrcha, 2012, 1203.5673.

Ten Years of Grid Cells.

Yasser Roudi, May-Britt Moser, Edvard I Moser, 2016, Annual review of neuroscience.