HR job title
- Professor
- Contact Info
- 1 979 845 5466
- Websites
- ORCiD
- 0000-0002-1454-4610
Choe, Yoonsuck Professor
Positions
- Professor - Term Appointment, Computer Science and Engineering, College of Engineering
- Overview
- Publications
- Research
- Teaching
- Works By Students
- Background
- Contact
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Overview
Publications
selected publications
-
academic article
-
Wan, Q., Cheung, S. W., & Choe, Y.
(2023).
AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit's activation via adjoint operators. Neural Networks.
170, 55-71.
-
Lee, J. H., Choe, Y., Ardid, S., Abbasi-Asl, R., McCarthy, M., & Hu, B.
(2023).
Editorial: Functional microcircuits in the brain and in artificial intelligent systems. Frontiers in Computational Neuroscience.
17, 1135507.
-
Wan, Q., & Choe, Y.
(2022).
AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators. Neural Networks.
154, 78-98.
-
Savari, M., & Choe, Y.
(2022).
Utilizing Human Feedback in Autonomous Driving: Discrete vs. Continuous. Machines.
10(8), 609-609.
-
Wan, Q., & Choe, Y.
(2020).
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model. Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence.
34(10), 13945-13946.
-
Wang, Y. e., Zhang, X., Lu, M. i., Wang, H., & Choe, Y.
(2020).
Attention augmentation with multi-residual in bidirectional LSTM. Neurocomputing.
385, 340-347.
-
Kim, J., Park, C., Jung, H., & Choe, Y.
(2020).
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks. Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence.
34(04), 4452-4459.
-
Rao, A. R., Choe, Y., & Chakravarthy, S.
(2016).
Special Issue on Multi-modal Integration and Development. IEEE Transactions on Cognitive and Developmental Systems.
8(4), 312-312.
-
Sharpee, T. O., Destexhe, A., Kawato, M., Sekuli, V., Skinner, F. K., Wjcik, D. K., ... Chhabria, K.
(2016).
25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience.
17 Suppl 1(Suppl 1), 54.
-
He, H.
(2016).
IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. 27(1), 1-7.
-
Zhang, Y., Li, P., Jin, Y., & Choe, Y.
(2015).
A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition. 26(11), 2635-2649.
-
Yamauchi, T., Seo, H., Choe, Y., Bowman, C., & Xiao, K.
(2015).
Assessing emotions by cursor motions: An affective computing approach. 2721-2726.
-
Yu, Y., Gutierrez-Osuna, R., & Choe, Y.
(2014).
Context-sensitive intra-class clustering. Pattern Recognition Letters.
37(1), 85-93.
-
Park, J., Kim, S., Park, S. I., Choe, Y., Li, J., & Han, A.
(2014).
A microchip for quantitative analysis of CNS axon growth under localized biomolecular treatments. 221, 166-174.
-
Yoo, J., Kwon, J., & Choe, Y.
(2014).
Predictable internal brain dynamics in EEG and its relation to conscious states. Frontiers in Neurorobotics.
8(JUN), 18-7.
-
Maniadakis, M., Wittmann, M., Droit-Volet, S., & Choe, Y.
(2014).
Toward embodied artificial cognition: TIME is on my side. Frontiers in Neurorobotics.
8(JAN), 25.
-
Choi, H., Choi, S., & Choe, Y.
(2013).
Parameter learning for alpha integration. Neural Computation.
25(6), 1585-1604.
-
Mann, T. A., Park, Y., Jeong, S., Lee, M., & Choe, Y.
(2013).
Autonomous and Interactive Improvement of Binocular Visual Depth Estimation through Sensorimotor Interaction. IEEE Transactions on Autonomous Mental Development.
5(1), 74-84.
-
CHOE, Y., KWON, J., & CHUNG, J. R.
(2012).
TIME, CONSCIOUSNESS, AND MIND UPLOADING. International Journal of Machine Consciousness.
4(01), 257-274.
-
Ryoo, J., Kim, Y., Choe, Y., Ko, B., & Kwon, T. J.
(2012).
Preface to KOCSEA special issue. Journal of Computing Science and Engineering.
6(4), 279.
-
Choe, Y., Mayerich, D., Kwon, J., Miller, D. E., Sung, C., Chung, J. R., ... Abbott, L. C.
(2011).
Specimen Preparation, Imaging, and Analysis Protocols for Knife-edge Scanning Microscopy. Journal of Visualized Experiments.
-
Choe, Y., Mayerich, D., Kwon, J., Miller, D. E., Sung, C., Chung, J. R., ... Abbott, L. C.
(2011).
Specimen preparation, imaging, and analysis protocols for knife-edge scanning microscopy. Journal of Visualized Experiments.
3248.
-
Chung, J. R., Sung, C., Mayerich, D., Kwon, J., Miller, D. E., Huffman, T., ... Choe, Y.
(2011).
Multiscale exploration of mouse brain microstructures using the knife-edge scanning microscope brain atlas. Frontiers in Neuroinformatics.
5, 29.
-
Mayerich, D., Kwon, J., Sung, C., Abbott, L., Keyser, J., & Choe, Y.
(2011).
Fast macro-scale transmission imaging of microvascular networks using KESM. Biomedical Optics Express.
2(10), 2888-2896.
-
Chung, J. R., & Choe, Y.
(2011).
Emergence of Memory in Reactive Agents Equipped With Environmental Markers. IEEE Transactions on Autonomous Mental Development.
3(3), 257-271.
-
Mann, T. A., & Choe, Y.
(2010).
Grounding the meaning of non-prototypical smiles on motor behavior. Behavioral and Brain Sciences.
33(6), 453-U125.
-
Choe, Y., Abbott, L. C., Ponte, G., Keyser, J., Kwon, J., Mayerich, D., ... McKinstry, J. L.
(2010).
Charting out the octopus connectome at submicron resolution using the knife-edge scanning microscope. BMC Neuroscience.
11(Suppl 1), p136.
-
Mann, T. A., & Choe, Y.
(2010).
Neural conduction delay forces the emergence of predictive function in simulated evolution. BMC Neuroscience.
11(Suppl 1), p62.
-
Yang, H., & Choe, Y.
(2010).
Reconstruction of neuronal morphologies from electron microscopy images using graph cuts. BMC Neuroscience.
11(Suppl 1), p142.
-
Choi, H., & Choe, Y.
(2010).
Simultaneous grounding and receptive field learning in visuomotor agents. BMC Neuroscience.
11(Suppl 1), p89.
-
Park, C., Choi, H., & Choe, Y.
(2009).
Textural-input-driven self-organization of tactile receptive fields. 10(Suppl 1), p62.
-
Kwon, J., & Choe, Y.
(2009).
Facilitating neural dynamics for delay compensation: a road to predictive neural dynamics?. Neural Networks.
22(3), 267-276.
-
Lim, H., & Choe, Y.
(2008).
Extrapolative delay compensation through facilitating synapses and its relation to the flash-lag effect. IEEE Transactions on Neural Networks and Learning Systems.
19(10), 1678-1688.
-
Xiong, H., & Choe, Y.
(2008).
Structural systems identification of genetic regulatory networks. Bioinformatics.
24(4), 553-560.
-
Xiong, H., & Choe, Y.
(2008).
Dynamical pathway analysis. BMC Systems Biology.
2(1), 9.
-
Xiong, H., & Choe, Y.
(2008).
Structural systems identification of genetic regulatory networks. Bioinformatics.
24(4), 553-560.
-
Yu, Y., & Choe, Y.
(2008).
Neural model of disinhibitory interactions in the modified Poggendorff illusion. Biological Cybernetics: communication and control in organisms and automata.
98(1), 75-85.
-
Oh, S., & Choe, Y.
(2007).
Segmentation of Textures Defined on Flat vs. Layered Surfaces using Neural Networks: Comparison of 2D vs. 3D Representations. Neurocomputing.
70(13-15), 2245-2255.
-
Choe, Y., Yang, H., & Eng, D.
(2007).
Autonomous learning of the semantics of internal sensory states based on motor exploration. International Journal of Humanoid Robotics.
4(2), 211-243.
-
Misra, N., & Choe, Y.
(2007).
Shape Recognition Through Dynamic Motor Representations. Understanding Complex Systems.
2007, 185-210.
-
Yu, Y., & Choe, Y.
(2006).
A neural model of the scintillating grid illusion: disinhibition and self-inhibition in early vision. Neural Computation.
18(3), 521-544.
-
Choe, Y.
(2006).
How neural is the neural blackboard architecture?. Behavioral and Brain Sciences.
29(1), 72-+.
-
McCormick, B. H., Busse, B. L., Mayerich, D. M., Abbott, L. C., Choe, Y., Keyser, J., Smith, S. J., & Denk, W.
(2005).
Biologically Accurate Modeling of Mouse Brain Requires Biologically Accurate Networks. Microscopy and Microanalysis.
11(S02), 66-67.
-
McCormick, B. H., Mayerich, D. M., Busse, B. L., Melek, Z., Koh, W., Abbott, L. C., ... Kim, E.
(2005).
The Whole Mouse Brain: The Spatial Distribution and Morphology of Its Neurons. Microscopy and Microanalysis.
11(S02), 640-641.
-
Choe, Y., & Bhamidipati, S. K.
(2004).
Autonomous acquisition of the meaning of sensory states through sensory-invariance driven action. Lecture Notes in Artificial Intelligence.
3141, 176-188.
-
Yu, Y. W., Yamauchi, T., & Choe, Y.
(2004).
Explaining low-level brightness-contrast illusions using disinhibition. Lecture Notes in Artificial Intelligence.
3141, 166-175.
-
Choe, Y.
(2004).
The role of temporal parameters in a thalamocortical model of analogy. 15(5), 1071-1082.
-
McCormick, B. H., Koh, W., Choe, Y., Abbott, L. C., Keyser, J., Mayerich, D., Melek, Z., & Doddapaneni, P.
(2004).
Construction of anatomically correct models of mouse brain networks. Neurocomputing.
58, 379-386.
-
Bednar, J. A., Choe, Y., De Paula, J., Miikkulainen, R., Provost, J., & Tversky, T.
(2004).
Modeling cortical maps with Topographica. Neurocomputing.
58, 1129-1135.
-
Choe, Y., & Miikkulainen, R.
(2004).
Contour integration and segmentation with self-organized lateral connections. Biological Cybernetics: communication and control in organisms and automata.
90(2), 75-88.
-
Choe, Y.
(2003).
Analogical cascade: a theory on the role of the thalamo-cortical loop in brain function. Neurocomputing.
52-4, 713-719.
-
Choe, Y., & Miikkulainen, R.
(2003).
The role of postsynaptic potential decay rate in neural synchrony. Neurocomputing.
52-4, 707-712.
-
McCormick, B., Choe, Y., & Koh, W.
(2003).
Construction of Anatomically Correct Models of Mouse Brain Networks. 2003(2), 112-117.
-
Choe, Y.
(2002).
Analogical Cascade: A Theory on the Role of the Thalamo-Cortical Loop in Brain Function. 2002(2), 276-281.
-
McCormick, B., Amato, N., Choe, Y., Keyser, J., Koh, W., Lien, J., ... Morales, M.
(2002).
From Mouse Brain Tissue to Cortical Networks. 2002(2), 585-589.
-
Choe, Y., & Miikkulainen, R.
(2002).
The Role of Postsynaptic Potential Decay Rate in Neural Synchrony. 2002(1), 20-25.
-
Choe, Y., & Miikkulainen, R.
(1998).
Self-organization and segmentation in a laterally connected orientation map of spiking neurons. 21(1-3), 139-157.
-
Miikkulainen, R., Bednar, J. A., Choe, Y., & Sirosh, J.
(1997).
Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex. Psychology of Learning and Motivation: Advances in Research and Theory.
36(C), 257-308.
-
Wan, Q., Cheung, S. W., & Choe, Y.
(2023).
AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit's activation via adjoint operators. Neural Networks.
170, 55-71.
-
book
-
Miikkulainen, R., Bednar, J. A., Choe, Y., & Sirosh, J.
(2005).
Computational Maps in the Visual Cortex. Springer-Verlag.
-
Miikkulainen, R., Bednar, J. A., Choe, Y., & Sirosh, J.
(2005).
Computational Maps in the Visual Cortex. Springer-Verlag.
-
chapter
-
Choe, Y.
(2022).
Anti-Hebbian Learning. Encyclopedia of Computational Neuroscience.
(pp. 213-216).
Springer Nature.
-
Choe, Y.
(2022).
Brain Atlases. Encyclopedia of Computational Neuroscience.
(pp. 539-539).
Springer Nature.
-
Mayerich, D., & Choe, Y.
(2022).
Computational Neuroanatomy: Overview. Encyclopedia of Computational Neuroscience.
(pp. 25-27).
Springer Nature.
-
Choe, Y.
(2022).
Connectome, General. Encyclopedia of Computational Neuroscience.
(pp. 967-976).
Springer Nature.
-
Choe, Y., Kwon, J., Mayerich, D., & Abbott, L. C.
(2022).
Connectome, Mouse. Encyclopedia of Computational Neuroscience.
(pp. 976-979).
Springer Nature.
-
Choe, Y.
(2022).
Hebbian Learning. Encyclopedia of Computational Neuroscience.
(pp. 1529-1533).
Springer Nature.
-
Choe, Y.
(2022).
Physical Sectioning Microscopy. Encyclopedia of Computational Neuroscience.
(pp. 2776-2779).
Springer Nature.
-
Mayerich, D., Choe, Y., & Keyser, J.
(2022).
Reconstruction, Techniques and Validation. Encyclopedia of Computational Neuroscience.
(pp. 2999-3001).
Springer Nature.
-
Li, Q., Wan, Q., Lee, S., & Choe, Y.
(2021).
Video Face Recognition with Audio-Visual Aggregation Network. Lecture Notes in Artificial Intelligence.
Neural Information Processing.
(pp. 150-161).
Springer Nature.
-
Mayerich, D., & Choe, Y.
(2021).
Computational Neuroanatomy: Overview. Encyclopedia of Computational Neuroscience.
(pp. 1-3).
Springer Nature.
-
Choe, Y.
(2019).
Second Order Isomorphism: A Reinterpretation and Its Implications in Brain and Cognitive Sciences. Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society.
(pp. 190-195).
Taylor & Francis.
-
Choe, Y.
(2019).
Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer. ARTIFICIAL INTELLIGENCE IN THE AGE OF NEURAL NETWORKS AND BRAIN COMPUTING.
(pp. 281-292).
Elsevier.
-
Choe, Y.
(2015).
Absorbing Boundary. Encyclopedia of Computational Neuroscience.
(pp. 125-125).
Springer Nature.
-
Choe, Y.
(2015).
Backpropagating Action Potentials. Encyclopedia of Computational Neuroscience.
(pp. 303-303).
Springer Nature.
-
Choe, Y.
(2015).
Radioactive Isotope. Encyclopedia of Computational Neuroscience.
(pp. 2557-2557).
Springer Nature.
-
Choe, Y.
(2015).
Anti-Hebbian Learning. Encyclopedia of Computational Neuroscience.
(pp. 191-193).
Springer Nature.
-
Denham, S.
(2015).
Auditory Sensing Systems: Overview. Encyclopedia of Computational Neuroscience.
(pp. 1-2).
Springer Nature.
-
Choe, Y.
(2015).
Brain Atlases. Encyclopedia of Computational Neuroscience.
(pp. 434-434).
Springer Nature.
-
Choe, Y.
(2015).
Computational Neuroanatomy: Overview. Encyclopedia of Computational Neuroscience.
(pp. 24-26).
Springer Nature.
-
Choe, Y.
(2015).
Connectome, General. Encyclopedia of Computational Neuroscience.
(pp. 798-806).
Springer Nature.
-
Choe, Y.
(2015).
H - Current. Encyclopedia of Computational Neuroscience.
(pp. 1305-1305).
Springer Nature.
-
Choe, Y.
(2015).
Hebbian Learning. Encyclopedia of Computational Neuroscience.
(pp. 1305-1309).
Springer Nature.
-
Choe, Y.
(2015).
Physical Sectioning Microscopy. Encyclopedia of Computational Neuroscience.
(pp. 2376-2379).
Springer Nature.
-
Mayerich, D., Choe, Y., & Keyser, J.
(2015).
Reconstruction, Techniques and Validation. Encyclopedia of Computational Neuroscience.
(pp. 2591-2593).
Springer Nature.
-
Choe, Y., Kwon, J., Mayerich, D., & Abbott, L. C.
(2015).
Connectome, Mouse. Encyclopedia of Computational Neuroscience.
(pp. 807-810).
Springer Nature.
-
Choe, Y.
(2014).
Physical Sectioning Microscopy. Encyclopedia of Computational Neuroscience.
(pp. 1-4).
Springer Nature.
-
Choe, Y.
(2014).
Brain Atlases. Encyclopedia of Computational Neuroscience.
(pp. 1-1).
Springer Nature.
-
Choe, Y.
(2014).
Computational Neuroanatomy: Overview. Encyclopedia of Computational Neuroscience.
(pp. 1-3).
Springer Nature.
-
Choe, Y.
(2014).
Connectome, General. Encyclopedia of Computational Neuroscience.
(pp. 1-11).
Springer Nature.
-
Choe, Y., Kwon, J., Mayerich, D., & Abbott, L. C.
(2014).
Connectome, Mouse. Encyclopedia of Computational Neuroscience.
(pp. 1-4).
Springer Nature.
-
Mayerich, D., Choe, Y., & Keyser, J.
(2014).
Reconstruction, Techniques, and Validation. Encyclopedia of Computational Neuroscience.
(pp. 1-3).
Springer Nature.
-
Choe, Y.
(2014).
Anti-Hebbian Learning. Encyclopedia of Computational Neuroscience.
(pp. 1-4).
Springer Nature.
-
Choe, Y.
(2014).
Hebbian Learning. Encyclopedia of Computational Neuroscience.
(pp. 1-5).
Springer Nature.
-
Chung, J. R., Kwon, J., Mann, T. A., & Choe, Y.
(2012).
Evolution of Time in Neural Networks: From the Present to the Past, and Forward to the Future. RELEVANCE OF THE TIME DOMAIN TO NEURAL NETWORK MODELS.
(pp. 99-115).
Springer Nature.
-
Miikkulainen, R., Bednar, J. A., Choe, Y., & Sirosh, J.
(1999).
Modeling Self-Organization in the Visual Cortex*. Kohonen Maps.
(pp. 243-252).
Elsevier.
-
Choe, Y.
(2022).
Anti-Hebbian Learning. Encyclopedia of Computational Neuroscience.
(pp. 213-216).
Springer Nature.
-
conference paper
-
Jain, A., Kerne, A., Lupfer, N., Britain, G., Perrine, A., Choe, Y., Keyser, J., & Huang, R.
(2021).
Recognizing Creative Visual Design: Multiscale Design Characteristics in Free-Form Web Curation Documents. 1-10.
-
Nguyen, K., & Choe, Y.
(2021).
Emergence of Different Modes of Tool Use in a Reaching and Dragging Task. 1-8.
-
Savari, M., & Choe, Y.
(2021).
Online Virtual Training in Soft Actor-Critic for Autonomous Driving. 1-8.
-
Wang, H., Wang, Y. e., Zhang, X., Lu, M. i., Choe, Y., & Cao, J.
(2019).
English Out-of-Vocabulary Lexical Evaluation Task. IEEE International Conference on Industrial Informatics (INDIN).
1468-1472.
-
Nowak, M. R., Lee, J., & Choe, Y.
(2019).
A Queryable Graph Representation of Vascular Connectivity in the Whole Mouse Brain. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
256-260.
-
Lee, S., Kim, J., Jung, H., & Choe, Y.
(2019).
Comparing Sample-Wise Learnability across Deep Neural Network Models. Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence.
9961-9962.
-
Nguyen, K. N., Yoo, J., & Choe, Y.
(2019).
Speeding Up Affordance Learning for Tool Use, Using Proprioceptive and Kinesthetic Inputs. 1-8.
-
Wang, Y. e., Wang, H., Zhang, X., Chaspari, T., Choe, Y., & Lu, M. i.
(2019).
AN ATTENTION-AWARE BIDIRECTIONAL MULTI-RESIDUAL RECURRENT NEURAL NETWORK (ABMRNN): A STUDY ABOUT BETTER SHORT-TERM TEXT CLASSIFICATION. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
3582-3586.
-
Michael R, N., & Choe, Y.
(2018).
Data-Driven Synthetic Cerebrovascular Models For Validation Of Segmentation Algorithms. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
5154-5157.
-
Nowak, M. R., & Choe, Y.
(2018).
Towards An Open-Source Framework For The Analysis Of Cerebrovasculature Structure. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
570-573.
-
Lee, J., Yoo, J., & Choe, Y.
(2018).
Tracing and analysis of the whole mouse brain vasculature with systematic cleaning to remove and consolidate erroneous images. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
143-146.
-
Junseok Lee, .., Wookyung An, .., & Yoonsuck Choe.
(2017).
Mapping the full vascular network in the mouse brain at submicrometer resolution. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
3309-3312.
-
Nguyen, K. N., & Choe, Y.
(2017).
Dynamic Control Using Feedforward Networks with Adaptive Delay and Facilitating Neural Dynamics. 2987-2994.
-
Reams, R., & Choe, Y.
(2017).
Emergence of Tool Construction in an Articulated Limb Controlled by Evolved Neural Circuits. 642-649.
-
Sung, C., Higgins, C. Y., Zhang, B. o., & Choe, Y.
(2017).
Evaluating Deep Learning in Churn Prediction for Everything-as-a-Service in the Cloud. 3664-3669.
-
Nowak, M. R., Han, D., & Choe, Y.
(2017).
BIOLOGICALLY GROUNDED SYNTHETIC CEREBROVASCULATURE MODELS FOR VALIDATION OF SEGMENTATION ALGORITHMS. Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging.
714-717.
-
Khuong, N., Liu, X. i., Komogortsev, O., Gutierrez-Osuna, R., & Choe, Y.
(2017).
Explanation of the Perceptual Oblique Effect Based on the Fidelity of Oculomotor Control During Saccades. IEEE International Conference on Development and Learning : [proceedings]. IEEE International Conference on Development and Learning.
15-20.
-
Choe, Y., Jayne, C., Hammer, B., & King, I.
(2017).
Welcome messages. 7-9.
-
Sung, C., Zhang, B. o., Higgins, C. Y., & Choe, Y.
(2016).
Data-driven Sales Leads Prediction for Everything-as-a-Service in the Cloud. 557-563.
-
Sungjun Lim, .., Nowak, M. R., & Yoonsuck Choe.
(2016).
Automated neurovascular tracing and analysis of the knife-edge scanning microscope Rat Nissl data set using a computing cluster. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
6445-6448.
-
Miller, D. E., Shah, R. S., Wencong Zhang, .., Jaewook Yoo, .., Jaerock Kwon, .., Mayerich, D., ... Yoonsuck Choe.
(2016).
Fast submicrometer-scale imaging of whole zebrafish using the knife-edge scanning microscope. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
5901-5904.
-
Nowak, M. R., Lozovskiy, A., Dobroskok, D., & Yoonsuck Choe.
(2016).
Knife-edge scanning microscopy for in silico study of cerebral blood flow: From biological imaging data to flow simulations. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
5957-5960.
-
Nowak, M. R., & Yoonsuck Choe.
(2016).
Learning to distinguish cerebral vasculature data from mechanical chatter in India-ink images acquired using knife-edge scanning microscopy. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
3989-3992.
-
Freitag, M., & Choe, Y.
(2016).
Analysis of Tool Use Strategies in Evolved Neural Circuits controlling an Articulated Limb. 4331-4338.
-
Wang, H., Li, Q., Yoo, J., & Choe, Y.
(2016).
Dynamical Analysis of Recurrent Neural Circuits In Articulated Limb Controllers for Tool Use. 4339-4345.
-
Parulkar, A., & Choe, Y.
(2016).
Motor-Based Autonomous Grounding in a Model of the Fly Optic Flow System. 4354-4361.
-
Choe, Y., Roy, A., He, H., & Huang, D.
(2016).
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports]. IEEE Computational Intelligence Magazine.
8-10.
-
An, W., & Choe, Y.
(2016).
Automated Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Rat Brain Nissl Data Set. Lecture Notes in Artificial Intelligence.
439-448.
-
Li, Q., Yoo, L., & Choe, Y.
(2015).
Emergence of Tool Use In an Articulated Limb Controlled by Evolved Neural Circuits. 1-8.
-
Das, S. L., Keyser, J., & Choe, Y.
(2015).
Random-Forest-Based Automated Cell Detection in Knife-Edge Scanning Microscope Rat Nissl Data. 1-8.
-
Zhang, W., Yoo, J., Keyser, J., Abbott, L. C., & Choe, Y.
(2015).
REAL-TIME DETECTION OF IMAGING ERRORS IN THE KNIFE-EDGE SCANNING MICROSCOPE THROUGH CHANGE DETECTION. Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging.
177-181.
-
Kim, J., Choe, Y., & Mueller, K.
(2015).
Extracting Clinical Relations in Electronic Health Records Using Enriched Parse Trees. Procedia Computer Science.
274-283.
-
Yoo, J., Choi, J., & Choe, Y.
(2014).
Development of Target Reaching Gesture Map in the Cortex and Its Relation to the Motor Map: A Simulation Study. Advances in Intelligent Systems and Computing.
187-197.
-
Sung, C., Woo, J., Goodman, M., Huffman, T., & Choe, Y.
(2013).
Scalable, Incremental Learning with MapReduce Parallelization for Cell Detection in High-Resolution 3D Microscopy Data. 1-7.
-
Mann, T., & Choe, Y.
(2011).
Scaling Up Reinforcement Learning through Targeted Exploration. Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence.
435-440.
-
Choe, Y.
(2011).
Action-based autonomous grounding. 56-57.
-
Yang, H., & Choe, Y.
(2011).
An Interactive Editing Framework for Electron Microscopy Image Segmentation. 400-409.
-
Yang, H., & Choe, Y.
(2011).
Ground Truth Estimation by Maximizing Topological Agreements in Electron Microscopy Data. 371-380.
-
Choe, Y., Mayerich, D., Kwon, J., Miller, D. E., Chung, J. R., Sung, C., Keyser, J., & Abbott, L. C.
(2011).
Knife-Edge Scanning Microscopy for Connectomics Research. 2258-2265.
-
Kwon, J., Mayerich, D., & Choe, Y.
(2011).
AUTOMATED CROPPING AND ARTIFACT REMOVAL FOR KNIFE-EDGE SCANNING MICROSCOPY. Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging.
1366-1369.
-
Mayerich, D., Kwon, J., Panchal, A., Keyser, J., & Choe, Y.
(2011).
FAST CELL DETECTION IN HIGH-THROUGHPUT IMAGERY USING GPU-ACCELERATED MACHINE LEARNING. Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging.
719-723.
-
Yang, H., & Choe, Y.
(2010).
Electron Microscopy Image Segmentation with Graph Cuts Utilizing Estimated Symmetric Three-Dimensional Shape Prior. Lecture Notes in Artificial Intelligence.
322-331.
-
Kwon, J., & Choe, Y.
(2010).
Predictive Internal Neural Dynamics for Delay Compensation. 443-448.
-
Choi, H., Choi, S., Katake, A., Kang, Y., & Choe, Y.
(2010).
Manifold Alpha-Integration. Lecture Notes in Artificial Intelligence.
397-+.
-
Mann, T. A., & Choe, Y.
(2010).
Prenatal to Postnatal Transfer of Motor Skills Through Motor-Compatible Sensory Representations. 185-190.
-
Choi, H., Katake, A., Choi, S., & Choe, Y.
(2010).
ALPHA-INTEGRATION OF MULTIPLE EVIDENCE. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
2210-2213.
-
Choi, H., Choi, S., Katake, A., & Choe, Y.
(2010).
LEARNING alpha-INTEGRATION WITH PARTIALLY-LABELED DATA. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
2058-2061.
-
Choi, H., Katake, A., Choi, S., Kang, Y., & Choe, Y.
(2009).
Probabilistic Combination of Multiple Evidence. Lecture Notes in Artificial Intelligence.
302-+.
-
Chung, J. R., & Choe, Y.
(2009).
Emergence of Memory-like Behavior in Reactive Agents Using External Markers. Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI.
404-408.
-
Park, C., Choi, H., & Choe, Y.
(2009).
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties. Lecture Notes in Artificial Intelligence.
228-236.
-
Han, D., Keyser, J., & Choe, Y.
(2009).
A LOCAL MAXIMUM INTENSITY PROJECTION TRACING OF VASCULATURE IN KNIFE-EDGE SCANNING MICROSCOPE VOLUME DATA. Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging.
1259-1262.
-
Yang, H., & Choe, Y.
(2009).
CELL TRACKING AND SEGMENTATION IN ELECTRON MICROSCOPY IMAGES USING GRAPH CUTS. Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging.
306-309.
-
Chung, J. R., Kwon, J., & Choe, Y.
(2009).
Evolution of Recollection and Prediction in Neural Networks. 571-577.
-
Han, D., Choi, H., Park, C., & Choe, Y.
(2009).
Fast and Accurate Retinal Vasculature Tracing and Kernel-Isomap-based Feature Selection. 1075-1082.
-
Yang, H., & Choe, Y.
(2009).
3D Volume Extraction of Densely Packed Cells in EM Data Stack by Forward and Backward Graph Cuts. 47-52.
-
Chung, J. R., Kwon, J., & Choe, Y.
(2009).
Evolution of Recollection and Prediction in Neural Networks. 3363-3369.
-
Han, D., Choi, H., Park, C., & Choe, Y.
(2009).
Fast and Accurate Retinal Vasculature Tracing and Kernel-Isomap-based Feature Selection. 1160-1167.
-
Park, C., Bai, Y. H., & Choe, Y.
(2009).
Tactile or Visual?: Stimulus Characteristics Determine Receptive Field Type in a Self-organizing Map Model of Cortical Development. 6-13.
-
Choi, H., Choi, S., & Choe, Y.
(2008).
Manifold integration with markov random walks. 424-429.
-
Bai, Y. H., Park, C., & Choe, Y.
(2008).
RELATIVE ADVANTAGE OF TOUCH OVER VISION IN THE EXPLORATION OF TEXTURE. International Conference on Pattern Recognition.
54-57.
-
Bai, Y. H., Park, C., & Choe, Y.
(2008).
RELATIVE ADVANTAGE OF TOUCH OVER VISION IN THE EXPLORATION OF TEXTURE. International Conference on Pattern Recognition.
1-4.
-
Jang, B. S., Mann, T., & Choe, Y.
(2008).
Effects of Varying the Delay Distribution in Random, Scale-free, and Small-World Networks. 316-+.
-
Kwon, J., & Choe, Y.
(2008).
Internal State Predictability as an Evolutionary Precursor of Self-Awareness and Agency. 109-114.
-
Choe, Y., Yang, H., & Misra, N.
(2008).
Motor System's Role in Grounding, Receptive Field Development, and Shape Recognition. 67-72.
-
Kwon, J., Mayerich, D., Choe, Y., & McCormick, B. H.
(2008).
Automated lateral sectioning for Knife-Edge Scanning Microscopy. Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging.
1371-1374.
-
Choi, H., Gutierrez-Osuna, R., Choi, S., & Choe, Y.
(2008).
Kernel Oriented Discriminant Analysis for Speaker-Independent Phoneme Spaces. International Conference on Pattern Recognition.
3330-3333.
-
Choi, H., Gutierrez-Osuna, R., Choi, S., & Choe, Y.
(2008).
Kernel Oriented Discriminant Analysis for Speaker-Independent Phoneme Spaces. International Conference on Pattern Recognition.
1-4.
-
Kwon, J., & Choe, Y.
(2007).
Enhanced facilitatory neuronal dynamics for delay compensation. 2040-2045.
-
Choe, Y., & Smith, N. H.
(2006).
Motion-based autonomous grounding: Inferring external world properties from encoded internal sensory states alone. 936-941.
-
Sarma, S., & Choe, Y.
(2006).
Salience le orientation-filter response measured as suspicious coincidence in natural images. 193-198.
-
Lim, H., & Choe, Y.
(2006).
Delay compensation through facilitating synapses and STDP: A neural basis for orientation flash-lag effect. 4269-+.
-
Lim, H., & Choe, Y.
(2006).
Facilitating neural dynamics for delay compensation and prediction in evolutionary neural networks. 167-+.
-
Twitchett, A. C., Dunin-Borkowski, R. E., Hallifax, R. J., Broom, R. F., & Midgley, P. A.
(2005).
Off-axis electron holography of unbiased and reverse-biased focused ion beam milled Si p-n junctions. Microscopy and Microanalysis.
66-78.
-
Bednar, J. A., Choe, Y., De Paula, J., Miikkulainen, R., & Provost, J.
(2005).
The Topographica cortical map simulator. PERCEPTION.
39-40.
-
Lim, H., & Choe, Y.
(2005).
Facilitatory neural activity compensating for neural delays as a potential cause of the flash-lag effect. 268-273.
-
Yu, Y., & Choe, Y.
(2004).
Angular Disinhibition Effect in a Modified Poggendorff Illusion. 1500-1505.
-
McCormick, B. H., Koh, W., Choe, Y., Abbott, L. C., Keyser, J., Mayerich, D., Melek, Z., & Doddapaneni, P.
(2004).
Construction of anatomically correct models of mouse brain networks. 379-386.
-
Lee, H. C., & Choe, Y.
(2003).
Detecting salient contours using orientation energy distribution. IEEE International Conference on Neural Networks - Conference Proceedings.
206-211.
-
Choe, Y.
(2003).
Processing of analogy in the thalamocortical circuit. IEEE International Conference on Neural Networks - Conference Proceedings.
1480-1485.
-
Choe, Y., Miikkulainen, R., & Cormack, L. K.
(2000).
Effects of presynaptic and postsynaptic resource redistribution in Hebbian weight adaptation. Neurocomputing.
77-82.
-
Choe, Y., & Miikkulainen, R.
(1997).
Self-organization and segmentation with laterally connected spiking neurons. IJCAI : proceedings of the conference / sponsored by the International Joint Conferences on Artificial Intelligence.
1120-1125.
-
Jain, A., Kerne, A., Lupfer, N., Britain, G., Perrine, A., Choe, Y., Keyser, J., & Huang, R.
(2021).
Recognizing Creative Visual Design: Multiscale Design Characteristics in Free-Form Web Curation Documents. 1-10.
-
institutional repository document
-
Kim, W. S., Liu, J., Li, Q., Hong, S., Qi, K., Cherukuri, R., ... Park, S. I.
(2022).
AI-Driven Battery-Free Dual-Channel Wireless Optogenetics for High-Throughput Automation of Behavioral Analysis
-
Wan, Q., & Choe, Y.
(2021).
AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators
-
Kim, W. S., Liu, J., Li, Q., Hong, S., Qi, K., Cherukuri, R., ... Park, S. I.
(2021).
AI-driven high-throughput automation of behavioral analysis and dual-channel wireless optogenetics for multiplexing brain dynamics
-
Choe, Y.
(2021).
Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer
-
Wan, Q., & Choe, Y.
(2020).
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators
-
Nguyen, K., & Choe, Y.
(2020).
Emergence of Different Modes of Tool Use in a Reaching and Dragging Task
-
Wan, Q., & Choe, Y.
(2020).
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model
-
Kim, J., Park, C., Jung, H., & Choe, Y.
(2019).
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
-
Lee, S., Kim, J., Jung, H., & Choe, Y.
(2019).
Comparing Sample-wise Learnability Across Deep Neural Network Models
-
Jung, H., Kim, J., & Choe, Y.
(2019).
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
-
Wang, H., Wang, Y. e., Zhang, X., Lu, M. i., Choe, Y., & Cao, J.
(2018).
English Out-of-Vocabulary Lexical Evaluation Task
-
Kim, W. S., Liu, J., Li, Q., Hong, S., Qi, K., Cherukuri, R., ... Park, S. I.
(2022).
AI-Driven Battery-Free Dual-Channel Wireless Optogenetics for High-Throughput Automation of Behavioral Analysis
Research
principal investigator on
- Enhanced Knife-Edge Scanning Microscopy for Sub-micrometer Imaging of Whole Small Animal Organs- awarded by National Science Foundation - (Arlington, Virginia, United States) 2013 - 2017
- CRCNS: Data Sharing: Open Web Atlas for High-Resolution 3D Mouse Brain Data awarded by National Science Foundation - (Arlington, Virginia, United States) 2012 - 2015
co-principal investigator on
Teaching
teaching activities
- CSCE291 Hnr-research Instructor
- CSCE315 Hnr-programming Studio Instructor
- CSCE420 Artificial Intelligence Instructor
- CSCE421 Machine Learning Instructor
- CSCE491 Hnr-research Instructor
- CSCE491 Hnr-research Instructor
- CSCE625 Artificial Intellignce Instructor
- CSCE633 Machine Learning Instructor
- CSCE636 Deep Learning Instructor
- CSCE644 Cortical Networks Instructor
- CSCE684 Professional Internship Instructor
- CSCE684 Professional Internship: In-ab Instructor
- CSCE685 Directed Studies Instructor
- CSCE689 Sptp: Artificial Intelligence Instructor
- CSCE691 Research Instructor
Works By Students
chaired theses and dissertations
-
An, Woo Kyung (2016-08). Automated Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse and Rat Brain Nissl Stained Data Sets.
-
Bai, Yoon Ho (2008-08). Relative advantage of touch over vision in the exploration of texture.
-
Bhamidipati, Sarvani Kumar (2005-05). Sensory invariance driven action (SIDA) framework for understanding the meaning of neural spikes.
-
Choi, Hee Youl (2011-08). Manifold Integration: Data Integration on Multiple Manifolds.
-
Choi, Jinho (2013-07). Knife-Edge Scanning Microscope Mouse Brain Atlas In Vector Graphics For Enhanced Performance.
-
Chung, Ji Ryang (2012-07). Evolution of Memory in Reactive Artificial Neural Networks.
-
Dileepkumar, Ananth (2014-08). Semi-Automated Reconstruction of Vascular Networks in Knife-Edge Scanning Microscope Mouse Brain Data.
-
Eng, Daniel C. (2010-01). Web-based Stereo Rendering for Visualization and Annotation of Scientific Volumetric Data.
-
Guntupalli, Jyothi Swaroop (2007-12). Physical sectioning in 3D biological microscopy.
-
Jang, Bum Soon (2007-08). Effect of varying the delay distribution in different classes of networks: random, scale-free, and small-world.
-
Kim, Dongkun (2011-10). Automatic Seedpoint Selection and Tracing of Microstructures in the Knife-Edge Scanning Microscope Mouse Brain Data Set.
-
Lal Das, Shashwat (2014-11). Cell Detection in Knife-Edge Scanning Microscopy Images of Nissl-stained Mouse and Rat Brain Samples Using Random Forests.
-
Li, Qinbo (2016-07). An Intelligent Tutoring System for Computer Numerical Control.
-
Lim, Hee Jin (2006-08). Facilitatory neural dynamics for predictive extrapolation.
-
Lim, Sungjun (2015-12). Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope Rat Nissl Data Set Using a Computing Cluster.
-
Mann, Timothy 1984- (2012-12). Scaling Up Reinforcement Learning without Sacrificing Optimality by Constraining Exploration.
-
Misra, Navendu (2005-08). Comparison of motor-based versus visual sensory representations in object recognition tasks.
-
Muddana, Hari Shankar (2006-12). Integrated biomechanical model of cells embedded in extracellular matrix.
-
Oh, Se Jong (2004-08). Learning to segment texture in 2D vs. 3D : A comparative study.
-
Park, Choon Seog (2010-10). Performance, Development, and Analysis of Tactile vs. Visual Receptive Fields in Texture Tasks.
-
Parulkar, Amey (2015-08). Autonomous Grounding of the Optical Flow Detectors in a Simulated Visuomotor System of the fly using Behaviorally Meaningful Actions.
-
Polsley, Seth C (2017-08). Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication.
-
Shah, Raj Sunil (2014-12). Reducing Chatter in Knife-Edge Scanning Microscopy.
-
Singhal, Ankur (2015-08). Skeletonization-Based Automated Tracing and Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Mouse Brain India Ink Dataset.
-
Srivastava, Manisha (2015-07). Knife Edge Scanning Microscope Brain Atlas Interface for Tracing and Analysis of Vasculature Data.
-
Sung, Chul (2014-04). Exploration, Registration, and Analysis of High-Throughput 3D Microscopy Data from the Knife-Edge Scanning Microscope.
-
Xiong, Hao (2008-12). Constrained expectation-maximization (EM), dynamic analysis, linear quadratic tracking, and nonlinear constrained expectation-maximation (EM) for the analysis of genetic regulatory networks and signal transduction networks.
-
Yang, Huei-Fang (2012-10). Reconstruction of 3D Neuronal Structures from Densely Packed Electron Microscopy Data Stacks.
-
Yang, Wenjie (2014-10). Automated Neurovascular Tracing and Analysis of the Knife-Edge Scanning Microscope India Ink Data Set.
-
Yu, Yingwei (2006-08). Computational role of disinhibition in brain function.
-
Zhang, Wencong (2014-09). Real-Time Image Error Detection in Knife-Edge Scanning Microscope.
Background
education and training
- Ph.D. in Computer Science, The University of Texas at Austin - (Austin, Texas, United States) 2001
- M.A. in Computer Science, The University of Texas at Austin - (Austin, Texas, United States) 1995
- B.S. in Computer Science, Yonsei University - (Seoul, South Korea) 1993
Contact
first name
- Yoonsuck
has last name
- Choe
mailing address
-
Texas A&M University
Computer Science & Engineering
3112 TAMU
College Station, TX 77843-3112
USA
Other
- choe@tamu.edu