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ShiNung Ching
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Publications
- 2020
- [c30]Yao-Chi Yu, Vignesh Narayanan, ShiNung Ching, Jr-Shin Li:
Learning to Control Neurons using Aggregated Measurements. ACC 2020: 4028-4033 - 2019
- [j15]Vignesh Narayanan, Jr-Shin Li, ShiNung Ching:
Biophysically interpretable inference of single neuron dynamics. J. Comput. Neurosci. 47(1): 61-76 (2019) - [j13]Anirban Nandi, Heinz Schättler, ShiNung Ching:
Optimal Control for Fast, Accurate Threshold-Hitting. SIAM J. Control. Optim. 57(4): 2269-2291 (2019) - [c29]Vignesh Narayanan, Jason T. Ritt, Jr-Shin Li, ShiNung Ching:
A Learning Framework for Controlling Spiking Neural Networks. ACC 2019: 211-216 - 2018
- [j12]Gautam Kumar, Delsin Menolascino, ShiNung Ching:
Sensitivity of linear systems to input orientation and novelty. Autom. 93: 462-468 (2018) - [j11]Anirban Nandi, Mohammadmehdi Kafashan, ShiNung Ching:
Control Analysis and Design for Statistical Models of Spiking Networks. IEEE Trans. Control. Netw. Syst. 5(3): 1146-1156 (2018) - 2017
- [j9]Mohammadmehdi Kafashan, ShiNung Ching:
Recurrent networks with soft-thresholding nonlinearities for lightweight coding. Neural Networks 94: 212-219 (2017) - [j8]Delsin Menolascino, ShiNung Ching:
Bispectral analysis for measuring energy-orientation tradeoffs in the control of linear systems. Syst. Control. Lett. 102: 68-73 (2017) - [j7]Kyle Q. Lepage, ShiNung Ching:
On the Output of Nonlinear Systems Excited by Discrete Prolate Spheroidal Sequences. IEEE Trans. Autom. Control. 62(11): 5780-5787 (2017) - [c22]Anirban Nandi, Heinz Schättler, ShiNung Ching:
Selective spiking in neuronal populations. ACC 2017: 2811-2816 - 2016
- [j6]Gautam Kumar, ShiNung Ching:
The Geometry of Plasticity-Induced Sensitization in Isoinhibitory Rate Motifs. Neural Comput. 28(9): 1889-1926 (2016) - [j5]Mohammadmehdi Kafashan, Anirban Nandi, ShiNung Ching:
Relating observability and compressed sensing of time-varying signals in recurrent linear networks. Neural Networks 83: 11-20 (2016) - [c21]Delsin Menolascino, ShiNung Ching:
Endpoint-based discriminability of minimum energy inputs. ACC 2016: 3038-3043 - [c20]Anirban Nandi, Mohammadmehdi Kafashan, ShiNung Ching:
Controlling point process generalized linear models of neural spiking. ACC 2016: 5779-5784 - 2015
- [c18]Jason T. Ritt, ShiNung Ching:
Neurocontrol: Methods, models and technologies for manipulating dynamics in the brain. ACC 2015: 3765-3780 - [c17]Jason T. Ritt, ShiNung Ching:
Future challenges and opportunities in the control of neural dynamics. ACC 2015: 3785 - [c16]Gautam Kumar, ShiNung Ching:
Design of optimally sparse dosing strategies for neural pharmacology. ACC 2015: 5865-5870 - [c15]Gautam Kumar, Delsin Menolascino, Mohammadmehdi Kafashan, ShiNung Ching:
Controlling linear networks with minimally novel inputs. ACC 2015: 5896-5900 - 2014
- [c14]Anirban Nandi, Jason T. Ritt, ShiNung Ching:
Non-negative inputs for underactuated control of spiking in coupled integrate-and-fire neurons. CDC 2014: 3041-3046 - [c13]Mohammadmehdi Kafashan, Kyle Q. Lepage, ShiNung Ching:
Node selection for probing connections in evoked dynamic networks. CDC 2014: 6080-6085 - [c11]Mohammadmehdi Kafashan, Ben J. Palanca, ShiNung Ching:
Bounded-observation Kalman filtering of correlation in multivariate neural recordings. EMBC 2014: 5052-5055 - [c10]Gautam Kumar, ShiNung Ching:
Maximizing relaxation time in oscillator networks with implications for neurostimulation. EMBC 2014: 6589-6592 - 2013
- [j4]Kyle Q. Lepage, ShiNung Ching, Mark A. Kramer:
Inferring evoked brain connectivity through adaptive perturbation. J. Comput. Neurosci. 34(2): 303-318 (2013) - [c9]Kyle Q. Lepage, Mark A. Kramer, ShiNung Ching:
An active method for tracking connectivity in temporally changing brain networks. EMBC 2013: 4374-4377 - [c8]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: 7108-7111 - 2011
- [c7]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: 4175-4178
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