Lai-Sang Young - researchr alias

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Viewing Publication 1 - 11 from 11

2022

The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain RhythmsBenjamin Ambrosio, Lai-Sang Young. ficn, 16:889235, 2022. [doi]

2021

Unraveling the mechanisms of surround suppression in early visual processingYao Li, Lai-Sang Young. ploscb, 17(4), 2021. [doi]

Malleability of gamma rhythms enhances population-level correlationsSonica Saraf, Lai-Sang Young. jcns, 49(2):189-205, 2021. [doi]

A data-informed mean-field approach to mapping of cortical parameter landscapesZhuo-Cheng Xiao, Kevin K. Lin, Lai-Sang Young. ploscb, 17(12), 2021. [doi]

2019

A case study in the functional consequences of scaling the sizes of realistic cortical modelsMadhura R. Joglekar, Logan Chariker, Robert Shapley, Lai-Sang Young. ploscb, 15(7), 2019. [doi]

2016

Dynamic Signal Tracking in a Simple V1 Spiking ModelGuillaume Lajoie, Lai-Sang Young. neco, 28(9):1985-2010, 2016. [doi]

2015

Emergent spike patterns in neuronal populationsLogan Chariker, Lai-Sang Young. jcns, 38(1):203-220, 2015. [doi]

2013

Dynamics of spiking neurons: between homogeneity and synchronyAaditya V. Rangan, Lai-Sang Young. jcns, 34(3):433-460, 2013. [doi]

Emergent dynamics in a model of visual cortexAaditya V. Rangan, Lai-Sang Young. jcns, 35(2):155-167, 2013. [doi]

2009

Spike-time reliability of layered neural oscillator networksKevin K. Lin, Eric Shea-Brown, Lai-Sang Young. jcns, 27(1):135-160, 2009. [doi]

Reliability of Coupled OscillatorsKevin K. Lin, Eric Shea-Brown, Lai-Sang Young. jns, 19(5):497-545, 2009. [doi]

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