Lai-Sang Young

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A data-driven biology-based network model reproduces C. elegans premotor neural dynamics.
PLoS Comput. Biol.
Megan Morrison, Lai-Sang Young
2022 J jnl
The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms.
Frontiers Comput. Neurosci.
Benjamin Ambrosio, Lai-Sang Young
2021 J jnl
A data-informed mean-field approach to mapping of cortical parameter landscapes.
PLoS Comput. Biol.
Zhuo-Cheng Xiao, Kevin K. Lin, Lai-Sang Young
2021 J jnl
Malleability of gamma rhythms enhances population-level correlations.
J. Comput. Neurosci.
Sonica Saraf, Lai-Sang Young
2021 J jnl
Unraveling the mechanisms of surround suppression in early visual processing.
PLoS Comput. Biol.
Yao Li, Lai-Sang Young
2019 J jnl
A case study in the functional consequences of scaling the sizes of realistic cortical models.
PLoS Comput. Biol.
Madhura R. Joglekar, Logan Chariker, Robert Shapley, Lai-Sang Young
2016 J jnl
Dynamic Signal Tracking in a Simple V1 Spiking Model.
Neural Comput.
Guillaume Lajoie, Lai-Sang Young
2015 J jnl
Emergent spike patterns in neuronal populations.
J. Comput. Neurosci.
Logan Chariker, Lai-Sang Young
2013 J jnl
Dynamics of spiking neurons: between homogeneity and synchrony.
J. Comput. Neurosci.
Aaditya V. Rangan, Lai-Sang Young
2013 J jnl
Emergent dynamics in a model of visual cortex.
J. Comput. Neurosci.
Aaditya V. Rangan, Lai-Sang Young
2013 J jnl
Modeling temporal networks using random itineraries
CoRR
Alain Barrat, Bastien Fernandez, Kevin K. Lin, Lai-Sang Young
2009 J jnl
Reliability of Coupled Oscillators.
J. Nonlinear Sci.
Kevin K. Lin, Eric Shea-Brown, Lai-Sang Young
2009 J jnl
Spike-time reliability of layered neural oscillator networks.
J. Comput. Neurosci.
Kevin K. Lin, Eric Shea-Brown, Lai-Sang Young