Spike-time reliability of layered neural oscillator networks. - Kevin K. Lin; Eric Shea-Brown; Lai-Sang Young (J. Comput. Neurosci., 2009)

Reliability of Coupled Oscillators. - Kevin K. Lin; Eric Shea-Brown; Lai-Sang Young (J. Nonlinear Sci., 2009)

Modeling temporal networks using random itineraries - Alain Barrat; Bastien Fernandez; Kevin K. Lin; Lai-Sang Young (CoRR, 2013)

Dynamics of spiking neurons: between homogeneity and synchrony. - Aaditya V. Rangan; Lai-Sang Young (J. Comput. Neurosci., 2013)

Emergent dynamics in a model of visual cortex. - Aaditya V. Rangan; Lai-Sang Young (J. Comput. Neurosci., 2013)

Emergent spike patterns in neuronal populations. - Logan Chariker; Lai-Sang Young (J. Comput. Neurosci., 2015)

Dynamic Signal Tracking in a Simple V1 Spiking Model. - Guillaume Lajoie; Lai-Sang Young (Neural Comput., 2016)

A case study in the functional consequences of scaling the sizes of realistic cortical models. - Madhura R. Joglekar; Logan Chariker; Robert Shapley; Lai-Sang Young (PLoS Comput. Biol., 2019)

Malleability of gamma rhythms enhances population-level correlations. - Sonica Saraf; Lai-Sang Young (J. Comput. Neurosci., 2021)

Unraveling the mechanisms of surround suppression in early visual processing. - Yao Li; Lai-Sang Young (PLoS Comput. Biol., 2021)

A data-informed mean-field approach to mapping of cortical parameter landscapes. - Zhuo-Cheng Xiao; Kevin K. Lin; Lai-Sang Young (PLoS Comput. Biol., 2021)

The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms. - Benjamin Ambrosio; Lai-Sang Young (Frontiers Comput. Neurosci., 2022)