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Picture of Kevin Lin

Kevin Lin

Member of the Graduate Faculty | Professor | Professor, Neuroscience - GIDP | Professor, Applied Mathematics - GIDP | Professor, Statistics-GIDP | Professor, Cognitive Science - GIDP

Collaboration(13)

Hao Zhang
Nirav Merchant
Michael Chertkov
Shankar Venkataramani
David Glickenstein

Page 1 of 3

Grants(5)

Publications(50)

Recent

Effects of sleeon breakfast behaviors in recently unemployed adults

2024

sleep, unemployment, nutrition, behavior, health

Detection of latent brain states from baseline neural activity in the amygdala

2024

neural activity, amygdala, baseline

Supporting Information Efficient models of cortical activity via local dynamic equilibria and coarse-grained interactions

2024

neuroscience, interactions

A comparison of probe geometries for neuronal localization

2022

neuronal localization, probe geometries, comparison, neuronal probes, neuroscience

Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism

2021

model reduction, wiener projections, data-driven modeling

Conjunctive reward-place coding properties of dorsal distal CA1 hippocampus cells

2020

neuroscience, hippocampus, memory, neural coding, reward system

Multilevel Monte Carlo for Cortical Circuit Models

2020

monte carlo methods, cortical circuits, multilevel methods, computational neuroscience, propositional logic

Data-driven model reduction, Wiener projections, and the Mori-Zwanzig formalism

2019

model reduction, wiener projections, mori-zwanzig formalism, data-driven modeling, dynamic systems

Data assimilation with stochastic reduced models quantifying model error

2018

data assimilation, stochastic models, model error quantification, data assimilation models, model error analysis

Symmetrized importance samplers for stochastic differential equations

2017

importance sampling, stochastic differential equations, symmetrized methods, samplers, monte carlo methods