ShiNung Ching - RankMe

78 papers C 22Misc 1Journal 42Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Control of Recurrent Neural Networks Using Constant Inputs. IEEE Trans. Autom. Control. Cyprien Tamekue, Ruiqi Chen, ShiNung Ching
2025	J	`jnl`	A Stochastic Polynomial Expansion for Uncertainty Propagation through Networks. Trans. Mach. Learn. Res. Songhan Zhang, ShiNung Ching
2025	J	`jnl`	Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment. CoRR Ruiqi Chen, Giacomo Vedovati, Todd S. Braver, ShiNung Ching
2025	J	`jnl`	Control of neural field equations with step-function inputs. CoRR Cyprien Tamekue, ShiNung Ching
2025	J	`jnl`	Episodically adapted network-based controllers. CoRR Sruti Mallik, ShiNung Ching
2025	J	`jnl`	Estimating uncertainty from feed-forward network based sensing using quasi-linear approximation. Neural Networks Songhan Zhang, Matthew F. Singh, Delsin Menolascino, ShiNung Ching
2025	J	`jnl`	Strong Anti-Hebbian Plasticity Alters the Convexity of Network Attractor Landscapes. IEEE Trans. Neural Networks Learn. Syst. Lulu Gong, Xudong Chen, ShiNung Ching
2025	J	`jnl`	Synergistic Pathways of Modulation Enable Robust Task Packing Within Neural Dynamics. Neural Comput. Giacomo Vedovati, ShiNung Ching
2024	J	`jnl`	Astrocytes as a mechanism for contextually-guided network dynamics and function. PLoS Comput. Biol. Lulu Gong, Fabio Pasqualetti, Thomas Papouin, ShiNung Ching
2024	J	`jnl`	DFORM: Diffeomorphic vector field alignment for assessing dynamics across learned models. CoRR Ruiqi Chen, Giacomo Vedovati, Todd S. Braver, ShiNung Ching
2024	—	`conf`	Data-driven modeling of neural dynamics from EEG to track physiological changes. EMBC Addison L. Schwamb, Matthew F. Singh, Réjean Guerriero, ShiNung Ching
2024	—	`conf`	Estimating and detecting slow wave events in EEG. EMBC Zhenghao Xiong, Addison L. Schwamb, Ben Julian A. Palanca, ShiNung Ching
2024	J	`jnl`	Heterogeneous Forgetting Rates and Greedy Allocation in Slot-Based Memory Networks Promotes Signal Retention. Neural Comput. BethAnna Jones, Lawrence Snyder, ShiNung Ching
2024	J	`jnl`	Synergistic pathways of modulation enable robust task packing within neural dynamics. CoRR Giacomo Vedovati, ShiNung Ching
2023	J	`jnl`	Astrocytes as a mechanism for meta-plasticity and contextually-guided network function. CoRR Lulu Gong, Fabio Pasqualetti, Thomas Papouin, ShiNung Ching
2023	J	`jnl`	Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage 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
2023	J	`jnl`	Strong anti-Hebbian plasticity alters the convexity of network attractor landscapes. CoRR Lulu Gong, Xudong Chen, ShiNung Ching
2022	J	`jnl`	Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement. Annu. Rev. Control. Matthew F. Singh, Michael W. Cole, Todd S. Braver, ShiNung Ching
2022	C	`conf`	Efficient identification for modeling high-dimensional brain dynamics. ACC Matthew F. Singh, Michael Wang, Michael W. Cole, ShiNung Ching
2022	J	`jnl`	Enhancing task fMRI preprocessing via individualized model-based filtering of intrinsic activity dynamics. NeuroImage Matthew F. Singh, Anxu Wang, Michael W. Cole, ShiNung Ching, Todd S. Braver
2022	J	`jnl`	Non-Stationary Representation Learning in Sequential Linear Bandits. CoRR Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti
2022	C	`conf`	Representation Learning for Context-Dependent Decision-Making. ACC Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti
2022	J	`jnl`	Representation Learning for Context-Dependent Decision-Making. CoRR Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti
2022	—	`conf`	Synthesizing network dynamics for short-term memory of impulsive inputs. CDC BethAnna Jones, ShiNung Ching
2021	J	`jnl`	Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling. CoRR Matthew F. Singh, Chong Wang, Michael W. Cole, ShiNung Ching
2021	J	`jnl`	Localizing focal brain injury via EEG spectral variance. Biomed. Signal Process. Control. Sina Khanmohammadi, Osvaldo Laurido-Soto, Lawrence N. Eisenman, Terrance T. Kummer, ShiNung Ching
2021	J	`jnl`	Slow manifolds in recurrent networks encode working memory efficiently and robustly. CoRR Elham Ghazizadeh, ShiNung Ching
2021	J	`jnl`	Slow manifolds within network dynamics encode working memory efficiently and robustly. PLoS Comput. Biol. Elham Ghazizadeh, ShiNung Ching
2021	C	`conf`	Top-down modeling of distributed neural dynamics for motion control. ACC Sruti Mallik, ShiNung Ching
2020	J	`jnl`	Creating functionally favorable neural dynamics by maximizing information capacity. Neurocomputing Elham Ghazizadeh, ShiNung Ching
2020	J	`jnl`	Estimation and validation of individualized dynamic brain models with resting state fMRI. NeuroImage Matthew F. Singh, Todd S. Braver, Michael W. Cole, ShiNung Ching
2020	C	`conf`	Learning to Control Neurons using Aggregated Measurements. ACC Yao-Chi Yu, Vignesh Narayanan, ShiNung Ching, Jr-Shin Li
2020	J	`jnl`	Synthesis of recurrent neural dynamics for monotone inclusion with application to Bayesian inference. Neural Networks Peng Yi, ShiNung Ching
2019	C	`conf`	A Learning Framework for Controlling Spiking Neural Networks. ACC Vignesh Narayanan, Jason T. Ritt, Jr-Shin Li, ShiNung Ching
2019	J	`jnl`	Biophysically interpretable inference of single neuron dynamics. J. Comput. Neurosci. Vignesh Narayanan, Jr-Shin Li, ShiNung Ching
2019	C	`conf`	Defining information-based functional objectives for neurostimulation and control. ACC Elham Ghazizadeh, Peng Yi, ShiNung Ching
2019	J	`jnl`	Multiple Timescale Online Learning Rules for Information Maximization with Energetic Constraints. Neural Comput. Peng Yi, ShiNung Ching
2019	J	`jnl`	Optimal Control for Fast, Accurate Threshold-Hitting. SIAM J. Control. Optim. Anirban Nandi, Heinz Schättler, ShiNung Ching
2019	J	`jnl`	Spiking networks as efficient distributed controllers. Biol. Cybern. Fuqiang Huang, ShiNung Ching
2018	J	`jnl`	Control Analysis and Design for Statistical Models of Spiking Networks. IEEE Trans. Control. Netw. Syst. Anirban Nandi, Mohammadmehdi Kafashan, ShiNung Ching
2018	C	`conf`	Dynamical Spiking Networks for Distributed Control of Nonlinear Systems. ACC Fuqiang Huang, ShiNung Ching
2018	C	`conf`	Learning-based Approaches for Controlling Neural Spiking. ACC Sensen Liu, Noah M. Sock, ShiNung Ching
2018	—	`conf`	Network Restructuring Control for Conic Invariance with Application to Neural Networks. CDC Matthew F. Singh, ShiNung Ching
2018	J	`jnl`	Sensitivity of linear systems to input orientation and novelty. Autom. Gautam Kumar, Delsin Menolascino, ShiNung Ching
2017	J	`jnl`	Bispectral analysis for measuring energy-orientation tradeoffs in the control of linear systems. Syst. Control. Lett. Delsin Menolascino, ShiNung Ching
2017	Misc	`conf`	Identifying Disruptions in Intrinsic Brain Dynamics due to Severe Brain Injury. ACSSC Sina Khanmohammadi, Terranee T. Kummer, ShiNung Ching
2017	J	`jnl`	On the Output of Nonlinear Systems Excited by Discrete Prolate Spheroidal Sequences. IEEE Trans. Autom. Control. Kyle Q. Lepage, ShiNung Ching
2017	C	`conf`	Optimizing the dynamics of spiking networks for decoding and control. ACC Fuqiang Huang, James R. Riehl, ShiNung Ching
2017	J	`jnl`	Recurrent Information Optimization with Local, Metaplastic Synaptic Dynamics. Neural Comput. Sensen Liu, ShiNung Ching
2017	J	`jnl`	Recurrent networks with soft-thresholding nonlinearities for lightweight coding. Neural Networks Mohammadmehdi Kafashan, ShiNung Ching
2017	C	`conf`	Selective spiking in neuronal populations. ACC Anirban Nandi, Heinz Schättler, ShiNung Ching
2016	C	`conf`	Controlling point process generalized linear models of neural spiking. ACC Anirban Nandi, Mohammadmehdi Kafashan, ShiNung Ching
2016	C	`conf`	Endpoint-based discriminability of minimum energy inputs. ACC Delsin Menolascino, ShiNung Ching
2016	C	`conf`	Quasilinearization-based controllability analysis of neuronal rate networks. ACC Seul Ah Kim, ShiNung Ching
2016	J	`jnl`	Relating observability and compressed sensing of time-varying signals in recurrent linear networks. Neural Networks Mohammadmehdi Kafashan, Anirban Nandi, ShiNung Ching
2016	J	`jnl`	The Geometry of Plasticity-Induced Sensitization in Isoinhibitory Rate Motifs. Neural Comput. Gautam Kumar, ShiNung Ching
2015	C	`conf`	Controlling linear networks with minimally novel inputs. ACC Gautam Kumar, Delsin Menolascino, Mohammadmehdi Kafashan, ShiNung Ching
2015	C	`conf`	Design of optimally sparse dosing strategies for neural pharmacology. ACC Gautam Kumar, ShiNung Ching
2015	C	`conf`	Future challenges and opportunities in the control of neural dynamics. ACC Jason T. Ritt, ShiNung Ching
2015	C	`conf`	Neurocontrol: Methods, models and technologies for manipulating dynamics in the brain. ACC Jason T. Ritt, ShiNung Ching
2014	—	`conf`	A mean field model for neural-metabolic homeostatic coupling in burst suppression. EMBC Sensen Liu, ShiNung Ching
2014	—	`conf`	Bounded-observation Kalman filtering of correlation in multivariate neural recordings. EMBC Mohammadmehdi Kafashan, Ben J. Palanca, ShiNung Ching
2014	—	`conf`	Maximizing relaxation time in oscillator networks with implications for neurostimulation. EMBC Gautam Kumar, ShiNung Ching
2014	—	`conf`	Node selection for probing connections in evoked dynamic networks. CDC Mohammadmehdi Kafashan, Kyle Q. Lepage, ShiNung Ching
2014	—	`conf`	Non-negative inputs for underactuated control of spiking in coupled integrate-and-fire neurons. CDC Anirban Nandi, Jason T. Ritt, ShiNung Ching
2013	—	`conf`	An active method for tracking connectivity in temporally changing brain networks. EMBC Kyle Q. Lepage, Mark A. Kramer, ShiNung Ching
2013	J	`jnl`	Inferring evoked brain connectivity through adaptive perturbation. J. Comput. Neurosci. Kyle Q. Lepage, ShiNung Ching, Mark A. Kramer
2013	—	`conf`	Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression. EMBC M. Brandon Westover, ShiNung Ching, Mouhsin M. Shafi, Sydney S. Cash, Emery N. Brown
2011	—	`conf`	Assessing neuronal interactions of cell assemblies during general anesthesia. EMBC Zhe Chen, Sujith Vijayan, ShiNung Ching, Greg Hale, Francisco J. Flores, Matthew A. Wilson, Emery N. Brown
2010	—	`conf`	Gaussianization of random inputs by filtering plants: The case of poisson white and telegraph processes. CDC ShiNung Ching, Semyon M. Meerkov, Thordur Runolfsson
2010	C	`conf`	Modeling and control of cyclic systems in xerography. ACC ShiNung Ching, Yongsoon Eun, Eric M. Gross, Eric S. Hamby, Pierre T. Kabamba, Semyon M. Meerkov, Amor A. Menezes
2010	J	`jnl`	Simultaneous Design of Controllers and Instrumentation: ILQR/ILQG. IEEE Trans. Autom. Control. ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
2009	J	`jnl`	Admissible Pole Locations for Tracking Random References. IEEE Trans. Autom. Control. ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
2009	C	`conf`	Recovery of linear performance in feedback systems with nonlinear instrumentation. ACC ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
2009	J	`jnl`	Root Locus for Random Reference Tracking in Systems With Saturating Actuators. IEEE Trans. Autom. Control. ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
2007	C	`conf`	A root locus approach to designing tracking controllers in systems with saturating actuators. ACC ShiNung Ching, Pierre T. Kabamba, Semyon M. Meerkov
2006	C	`conf`	A switching approach to the control of jump parameter systems. ACC ShiNung Ching, Edward J. Davison
2005	C	`conf`	Control of plants which change using switching controllers. ACC ShiNung Ching, Edward J. Davison