A biologically-based computational model of visual cortex that overcomes the X-junction illusion. - Parvin Zarei Eskikand; Tatiana Kameneva; Michael R. Ibbotson; Anthony N. Burkitt; David B. Grayden (Neural Networks, 2018)

On the benefit of overparameterization in state reconstruction. - Jonas F. Haderlein; Iven M. Y. Mareels; Andre D. H. Peterson; Parvin Zarei Eskikand; Anthony N. Burkitt; David B. Grayden (CDC, 2021)

Computational simulations and Ca2+ imaging reveal that slow synaptic depolarizations (slow EPSPs) inhibit fast EPSP evoked action potentials for most of their time course in enteric neurons. - Parvin Zarei Eskikand; Katerina Koussoulas; Rachel M. Gwynne; Joel C. Bornstein (PLoS Comput. Biol., 2022)

Path Signatures for Seizure Forecasting. - Jonas F. Haderlein; Andre D. H. Peterson; Parvin Zarei Eskikand; Mark J. Cook; Anthony N. Burkitt; Iven M. Y. Mareels; David B. Grayden (CoRR, 2023)

Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column. - Parvin Zarei Eskikand; Artemio Soto-Breceda; Mark J. Cook; Anthony N. Burkitt; David B. Grayden (Neural Networks, 2023)

On the benefit of overparameterisation in state reconstruction: An empirical study of the nonlinear case. - Jonas F. Haderlein; Andre D. H. Peterson; Parvin Zarei Eskikand; Anthony N. Burkitt; Iven M. Y. Mareels; David B. Grayden (ANZCC, 2024)

Revisiting Seizure Prediction with Path Signatures: the Limitations of System Identification. - Jonas F. Haderlein; Andre D. H. Peterson; Parvin Zarei Eskikand; Mark J. Cook; Anthony N. Burkitt; David B. Grayden; Iven M. Y. Mareels (ANZCC, 2024)

Reduced Synaptic Heterogeneity in a Tetanus Toxin Model of Epilepsy: Insights from Computational Modeling. - Parvin Zarei Eskikand; Mark J. Cook; Anthony N. Burkitt; David B. Grayden (EMBC, 2024)

Neural dynamics and seizure correlations: Insights from neural mass models in a Tetanus Toxin rat model of epilepsy. - Parvin Zarei Eskikand; Artemio Soto-Breceda; Mark J. Cook; Anthony N. Burkitt; David B. Grayden (Neural Networks, 2024)