ShiNung Ching

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 44

Top Topics

Prolate Spheroidal

Neural Dynamics

Top Venues

Publications

BethAnna Jones, Lawrence Snyder, ShiNung Ching
Heterogeneous Forgetting Rates and Greedy Allocation in Slot-Based Memory Networks Promotes Signal Retention. Neural Comput. 36 (5) (2024)
Ruiqi Chen, Giacomo Vedovati, Todd S. Braver, ShiNung Ching
DFORM: Diffeomorphic vector field alignment for assessing dynamics across learned models. CoRR (2024)
Lulu Gong, Fabio Pasqualetti, Thomas Papouin, ShiNung Ching
Astrocytes as a mechanism for meta-plasticity and contextually-guided network function. CoRR (2023)
Lulu Gong, Xudong Chen, ShiNung Ching
Strong anti-Hebbian plasticity alters the convexity of network attractor landscapes. CoRR (2023)
Andrea I. Luppi, Joana Cabral, Rodrigo Cofré, Pedro A. M. Mediano, Fernando E. Rosas, Abid Y. Qureshi, Amy Kuceyeski, Enzo Tagliazucchi, Federico Raimondo, Gustavo Deco, James M. Shine, Morten L. Kringelbach, Patricio Orio, ShiNung Ching, Yonatan Sanz Perl, Michael N. Diringer, Robert D. Stevens, Jacobo Diego Sitt
Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage 275 (2023)
Matthew F. Singh, Anxu Wang, Michael W. Cole, ShiNung Ching, Todd S. Braver
Enhancing task fMRI preprocessing via individualized model-based filtering of intrinsic activity dynamics. NeuroImage 247 (2022)
Matthew F. Singh, Michael Wang, Michael W. Cole, ShiNung Ching
Efficient identification for modeling high-dimensional brain dynamics. ACC (2022)
Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti
Representation Learning for Context-Dependent Decision-Making. CoRR (2022)
BethAnna Jones, ShiNung Ching
Synthesizing network dynamics for short-term memory of impulsive inputs. CDC (2022)
Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti
Non-Stationary Representation Learning in Sequential Linear Bandits. CoRR (2022)
Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti
Representation Learning for Context-Dependent Decision-Making. ACC (2022)
Matthew F. Singh, Michael W. Cole, Todd S. Braver, ShiNung Ching
Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement. Annu. Rev. Control. 54 (2022)
Elham Ghazizadeh, ShiNung Ching
Slow manifolds in recurrent networks encode working memory efficiently and robustly. CoRR (2021)
Elham Ghazizadeh, ShiNung Ching
Slow manifolds within network dynamics encode working memory efficiently and robustly. PLoS Comput. Biol. 17 (9) (2021)
Matthew F. Singh, Chong Wang, Michael W. Cole, ShiNung Ching
Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling. CoRR (2021)
Sruti Mallik, ShiNung Ching
Top-down modeling of distributed neural dynamics for motion control. ACC (2021)
Sina Khanmohammadi, Osvaldo Laurido-Soto, Lawrence N. Eisenman, Terrance T. Kummer, ShiNung Ching
Localizing focal brain injury via EEG spectral variance. Biomed. Signal Process. Control. 68 (2021)
Elham Ghazizadeh, ShiNung Ching
Creating functionally favorable neural dynamics by maximizing information capacity. Neurocomputing 400 (2020)
Matthew F. Singh, Todd S. Braver, Michael W. Cole, ShiNung Ching
Estimation and validation of individualized dynamic brain models with resting state fMRI. NeuroImage 221 (2020)
Peng Yi, ShiNung Ching
Synthesis of recurrent neural dynamics for monotone inclusion with application to Bayesian inference. Neural Networks 131 (2020)
Yao-Chi Yu, Vignesh Narayanan, ShiNung Ching, Jr-Shin Li
Learning to Control Neurons using Aggregated Measurements. ACC (2020)
Vignesh Narayanan, Jr-Shin Li, ShiNung Ching
Biophysically interpretable inference of single neuron dynamics. J. Comput. Neurosci. 47 (1) (2019)
Peng Yi, ShiNung Ching
Multiple Timescale Online Learning Rules for Information Maximization with Energetic Constraints. Neural Comput. 31 (5) (2019)
Elham Ghazizadeh, Peng Yi, ShiNung Ching
Defining information-based functional objectives for neurostimulation and control. ACC (2019)
Vignesh Narayanan, Jason T. Ritt, Jr-Shin Li, ShiNung Ching
A Learning Framework for Controlling Spiking Neural Networks. ACC (2019)
Anirban Nandi, Heinz Schättler, ShiNung Ching
Optimal Control for Fast, Accurate Threshold-Hitting. SIAM J. Control. Optim. 57 (4) (2019)
Fuqiang Huang, ShiNung Ching
Spiking networks as efficient distributed controllers. Biol. Cybern. 113 (1-2) (2019)
Matthew F. Singh, ShiNung Ching
Network Restructuring Control for Conic Invariance with Application to Neural Networks. CDC (2018)
Anirban Nandi, Mohammadmehdi Kafashan, ShiNung Ching
Control Analysis and Design for Statistical Models of Spiking Networks. IEEE Trans. Control. Netw. Syst. 5 (3) (2018)
Fuqiang Huang, ShiNung Ching
Dynamical Spiking Networks for Distributed Control of Nonlinear Systems. ACC (2018)
Gautam Kumar, Delsin Menolascino, ShiNung Ching
Sensitivity of linear systems to input orientation and novelty. Autom. 93 (2018)
Sensen Liu, Noah M. Sock, ShiNung Ching
Learning-based Approaches for Controlling Neural Spiking. ACC (2018)
Fuqiang Huang, James R. Riehl, ShiNung Ching
Optimizing the dynamics of spiking networks for decoding and control. ACC (2017)
Sina Khanmohammadi, Terranee T. Kummer, ShiNung Ching
Identifying Disruptions in Intrinsic Brain Dynamics due to Severe Brain Injury. ACSSC (2017)
Delsin Menolascino, ShiNung Ching
Bispectral analysis for measuring energy-orientation tradeoffs in the control of linear systems. Syst. Control. Lett. 102 (2017)
Kyle Q. Lepage, ShiNung Ching
On the Output of Nonlinear Systems Excited by Discrete Prolate Spheroidal Sequences. IEEE Trans. Autom. Control. 62 (11) (2017)
Mohammadmehdi Kafashan, ShiNung Ching
Recurrent networks with soft-thresholding nonlinearities for lightweight coding. Neural Networks 94 (2017)
Anirban Nandi, Heinz Schättler, ShiNung Ching
Selective spiking in neuronal populations. ACC (2017)
Sensen Liu, ShiNung Ching
Recurrent Information Optimization with Local, Metaplastic Synaptic Dynamics. Neural Comput. 29 (9) (2017)
Delsin Menolascino, ShiNung Ching
Endpoint-based discriminability of minimum energy inputs. ACC (2016)
Gautam Kumar, ShiNung Ching
The Geometry of Plasticity-Induced Sensitization in Isoinhibitory Rate Motifs. Neural Comput. 28 (9) (2016)
Mohammadmehdi Kafashan, Anirban Nandi, ShiNung Ching
Relating observability and compressed sensing of time-varying signals in recurrent linear networks. Neural Networks 83 (2016)
Seul Ah Kim, ShiNung Ching
Quasilinearization-based controllability analysis of neuronal rate networks. ACC (2016)
Anirban Nandi, Mohammadmehdi Kafashan, ShiNung Ching
Controlling point process generalized linear models of neural spiking. ACC (2016)
Jason T. Ritt, ShiNung Ching
Neurocontrol: Methods, models and technologies for manipulating dynamics in the brain. ACC (2015)
Gautam Kumar, Delsin Menolascino, Mohammadmehdi Kafashan, ShiNung Ching
Controlling linear networks with minimally novel inputs. ACC (2015)
Gautam Kumar, ShiNung Ching
Design of optimally sparse dosing strategies for neural pharmacology. ACC (2015)
Jason T. Ritt, ShiNung Ching
Future challenges and opportunities in the control of neural dynamics. ACC (2015)
Gautam Kumar, ShiNung Ching
Maximizing relaxation time in oscillator networks with implications for neurostimulation. EMBC (2014)
Mohammadmehdi Kafashan, Ben J. Palanca, ShiNung Ching
Bounded-observation Kalman filtering of correlation in multivariate neural recordings. EMBC (2014)
Sensen Liu, ShiNung Ching
A mean field model for neural-metabolic homeostatic coupling in burst suppression. EMBC (2014)
Anirban Nandi, Jason T. Ritt, ShiNung Ching
Non-negative inputs for underactuated control of spiking in coupled integrate-and-fire neurons. CDC (2014)
Mohammadmehdi Kafashan, Kyle Q. Lepage, ShiNung Ching
Node selection for probing connections in evoked dynamic networks. CDC (2014)
M. Brandon Westover, ShiNung Ching, Mouhsin M. Shafi, Sydney S. Cash, Emery N. Brown
Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression. EMBC (2013)
Kyle Q. Lepage, ShiNung Ching, Mark A. Kramer
Inferring evoked brain connectivity through adaptive perturbation. J. Comput. Neurosci. 34 (2) (2013)
Kyle Q. Lepage, Mark A. Kramer, ShiNung Ching
An active method for tracking connectivity in temporally changing brain networks. EMBC (2013)
Zhe Chen, Sujith Vijayan, ShiNung Ching, Greg Hale, Francisco J. Flores, Matthew A. Wilson, Emery N. Brown
Assessing neuronal interactions of cell assemblies during general anesthesia. EMBC (2011)
ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
Simultaneous Design of Controllers and Instrumentation: ILQR/ILQG. IEEE Trans. Autom. Control. 55 (1) (2010)
ShiNung Ching, Semyon M. Meerkov, Thordur Runolfsson
Gaussianization of random inputs by filtering plants: The case of poisson white and telegraph processes. CDC (2010)
ShiNung Ching, Yongsoon Eun, Eric M. Gross, Eric S. Hamby, Pierre T. Kabamba, Semyon M. Meerkov, Amor A. Menezes
Modeling and control of cyclic systems in xerography. ACC (2010)
ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
Root Locus for Random Reference Tracking in Systems With Saturating Actuators. IEEE Trans. Autom. Control. 54 (1) (2009)
ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
Recovery of linear performance in feedback systems with nonlinear instrumentation. ACC (2009)
ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
Admissible Pole Locations for Tracking Random References. IEEE Trans. Autom. Control. 54 (1) (2009)
ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
A root locus approach to designing tracking controllers in systems with saturating actuators. ACC (2007)
ShiNung Ching, Edward J. Davison
A switching approach to the control of jump parameter systems. ACC (2006)
ShiNung Ching, Edward J. Davison
Control of plants which change using switching controllers. ACC (2005)