Y. Choe

Ricardo Gutierrez-Osuna, Yoonsuck Choe, Oleg V. Komogortsev, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Self-Organization , Plasticity , and Low-level Visual Phenomena in aLaterally Connected Map Model of the Primary Visual

Computer, Yoonsuck Choe, J. Bednar, 1997 .

AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators pdf

Yoonsuck Choe, Qing Wan, Y. Choe, 2020, Neural Networks.

Self-organization and segmentation in a laterally connected orientation map of spiking neurons

Risto Miikkulainen, Yoonsuck Choe, R. Miikkulainen, 1998, Neurocomputing.

A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition

Yong Zhang, Peng Li, Yoonsuck Choe, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Directed Exploration in Reinforcement Learning with Transferred Knowledge

Yoonsuck Choe, Timothy A. Mann, Y. Choe, 2012, EWRL.

Computational role of disinhibition in brain function

Yoonsuck Choe, Yingwei Yu, Y. Choe, 2006 .

Facilitating neural dynamics for delay compensation: A road to predictive neural dynamics?

Yoonsuck Choe, Jaerock Kwon, Jaerock Kwon, 2009, Neural Networks.

The role of temporal parameters in a thalamocortical model of analogy

Yoonsuck Choe, Yoonsuck Choe, Y. Choe, 2004, IEEE Transactions on Neural Networks.

The Role of Specific Temporal Parameters in a Thalamocortical Model of Analogy

Yoonsuck Choe, Y. Choe, 2004 .

Random-forest-based automated cell detection in Knife-Edge Scanning Microscope rat Nissl data

Yoonsuck Choe, John Keyser, Shashwat Lal Das, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Physical Sectioning Microscopy

Yoonsuck Choe, Y. Choe, 2014, Encyclopedia of Computational Neuroscience.

Scalable, incremental learning with MapReduce parallelization for cell detection in high-resolution 3D microscopy data

Yoonsuck Choe, Chul Sung, Jongwook Woo, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Multiscale Exploration of Mouse Brain Microstructures Using the Knife-Edge Scanning Microscope Brain Atlas

Yoonsuck Choe, Daniel E. Miller, Jaerock Kwon, 2011, Front. Neuroinform..

Knife-edge scanning microscopy for connectomics research

Yoonsuck Choe, Daniel E. Miller, Jaerock Kwon, 2011, The 2011 International Joint Conference on Neural Networks.

Fast macro-scale transmission imaging of microvascular networks using KESM

Yoonsuck Choe, Jaerock Kwon, John Keyser, 2011, Biomedical optics express.

Reconstruction of 3d neuronal structures from densely packed electron microscopy data stacks

Yoonsuck Choe, Huei-Fang Yang, Yoonsuck Choe, 2011 .

Acquisition and mining of the whole mouse brain microstructure

Yoonsuck Choe, Jaerock Kwon, Yoonsuck Choe, 2009 .

Construction of anatomically correct models of mouse brain networks

Yoonsuck Choe, Bruce H. McCormick, John Keyser, 2004, Neurocomputing.

Constructing High-Resolution Microvascular Models

J. Keyser, Yoonsuck Choe, Jaerock Kwon, 2008 .

Knife-Edge Scanning Microscopy: High-throughput Imaging and Analysis of Massive Volumes of Biological Microstructures

Yoonsuck Choe, Yoonsuck Choe, Y. Choe, 2008 .

Selective Attention in Time : An Extended Model for Stimulus Onset Asynchrony ( SOA ) in Stroop Effect

Yoonsuck Choe, Yingwei Yu, Y. Choe, 2006 .

Shape Recognition Through Dynamic Motor Representations

Yoonsuck Choe, Navendu Misra, Yoonsuck Choe, 2007 .

Salience in Orientation-Filter Response Measured as Suspicious Coincidence in Natural Images

Yoonsuck Choe, Subramonia Sarma, Subramonia Sarma, 2006, AAAI.

Detecting salient contours using orientation energy distribution

Yoonsuck Choe, Hyeon-Cheol Lee, Y. Choe, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Modeling Disinhibition in the Early Visual Pathway

Yoonsuck Choe, Yingwei Yu, Y. Choe, 2003 .

Relationship Between Suspicious Coincidence in Natural Images and Oriented Filter Response Distributions

Yoonsuck Choe, Subramonia Sarma, Y. Choe, 2003 .

Utilizing Human Feedback in Autonomous Driving: Discrete vs. Continuous

Yoonsuck Choe, Maryam Savari, Y. Choe, 2022, Machines.

Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks

Chiyoun Park, Yoonsuck Choe, Jaedeok Kim, 2019, AAAI.

Online Virtual Training in Soft Actor-Critic for Autonomous Driving

Yoonsuck Choe, Maryam Savari, Maryam Savari, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Autonomous Acquisition of the Meaning of Sensory States Through Sensory-Invariance Driven Action

Yoonsuck Choe, S. Kumar Bhamidipati, Yoonsuck Choe, 2004, BioADIT.

Compensating for Neural Transmission Delay Using Extrapolatory Neural Activation in Evolutionary Neural Networks

Yoonsuck Choe, Hee Jin Lim, Heejin Lim, 2006 .

Motion-Based Autonomous Grounding: Inferring External World Properties from Encoded Internal Sensory States Alone

Yoonsuck Choe, Noah H. Smith, Yoonsuck Choe, 2006, AAAI.

Data-Driven Sales Leads Prediction for Everything-as-a-Service in the Cloud

Bo Zhang, Yoonsuck Choe, Chul Sung, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Automated lateral sectioning for Knife-Edge Scanning Microscopy

Yoonsuck Choe, Bruce H. McCormick, Jaerock Kwon, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Enhanced Facilitatory Neuronal Dynamics for Delay Compensation

Yoonsuck Choe, Jaerock Kwon, Jaerock Kwon, 2007, 2007 International Joint Conference on Neural Networks.

Relative advantage of touch over vision in the exploration of texture

Yoonsuck Choe, Choonseog Park, Yoon Ho Bai, 2008, 2008 19th International Conference on Pattern Recognition.

Segmentation of textures defined on flat vs. layered surfaces using neural networks: Comparison of 2D vs. 3D representations

Yoonsuck Choe, Sejong Oh, Yoonsuck Choe, 2007, Neurocomputing.

Texture Segmentation in 2D vs. 3D: Did 3D Developmentally Precede 2D?

Yoonsuck Choe, Sejong Oh, Y. Choe, 2004 .

Autonomous and Interactive Improvement of Binocular Visual Depth Estimation through Sensorimotor Interaction

Minho Lee, Yoonsuck Choe, Timothy A. Mann, 2013, IEEE Transactions on Autonomous Mental Development.

Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer

Yoonsuck Choe, Y. Choe, 2021, Artificial Intelligence in the Age of Neural Networks and Brain Computing.

Assessing Emotions by Cursor Motions: An Affective Computing Approach

Takashi Yamauchi, Yoonsuck Choe, Casady Bowman, 2015, CogSci.

Prenatal to postnatal transfer of motor skills through motor-compatible sensory representations

Yoonsuck Choe, Timothy A. Mann, Y. Choe, 2010, 2010 IEEE 9th International Conference on Development and Learning.

Fast cell detection in high-throughput imagery using GPU-accelerated machine learning

Yoonsuck Choe, Jaerock Kwon, John Keyser, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Electron Microscopy Image Segmentation with Graph Cuts Utilizing Estimated Symmetric Three-Dimensional Shape Prior

Yoonsuck Choe, Huei-Fang Yang, Huei-Fang Yang, 2010, ISVC.

An Attention-aware Bidirectional Multi-residual Recurrent Neural Network (Abmrnn): A Study about Better Short-term Text Classification

Mi Lu, Yoonsuck Choe, Ye Wang, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

STATISTICAL MODELING AND ANALYSIS OF STRUCTURES IN AORTA IMAGES

J. Humphrey, Jyh-Charn S. Liu, Yoonsuck Choe, 2011 .

Extrapolative Delay Compensation Through Facilitating Synapses and Its Relation to the Flash-Lag Effect

Yoonsuck Choe, Heejin Lim, Heejin Lim, 2008, IEEE Transactions on Neural Networks.

Delay Compensation Through Facilitating Synapses and STDP: A Neural Basis for Orientation Flash-Lag Effect

Yoonsuck Choe, Heejin Lim, Heejin Lim, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Processing of analogy in the thalamocortical circuit

Yoonsuck Choe, Y. Choe, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Real-time detection of imaging errors in the Knife-Edge Scanning Microscope through change detection

Yoonsuck Choe, John Keyser, Louise C. Abbott, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Automated cropping and artifact removal for knife-edge scanning microscopy

Yoonsuck Choe, Jaerock Kwon, David Mayerich, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Neural model of disinhibitory interactions in the modified Poggendorff illusion

Yoonsuck Choe, Yingwei Yu, Yoonsuck Choe, 2008, Biological Cybernetics.

A Neural Model of the Scintillating Grid Illusion: Disinhibition and Self-Inhibition in Early Vision

Yoonsuck Choe, Yingwei Yu, Yingwei Yu, 2006, Neural Computation.

Angular Disinhibition Effect in a Modified Poggendorff Illusion

Yoonsuck Choe, Yingwei Yu, Yoonsuck Choe, 2004 .

3D volume extraction of densely packed cells in EM data stack by forward and backward graph cuts

Yoonsuck Choe, Huei-Fang Yang, Huei-Fang Yang, 2009, 2009 IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing.

Active Representations: A Primitive for Analogical Computing in the Brain

Yoonsuck Choe, Y. Choe, 2002 .

Evolution of Proxy Use in Neural Network Controllers for Crowd Modeling

Jinyang Huang, Y. Choe, 2023, IEEE International Joint Conference on Neural Network.

Facilitating neural dynamics for delay compensation and prediction in evolutionary neural networks

Yoonsuck Choe, Heejin Lim, Heejin Lim, 2006, GECCO.

Facilitatory neural activity compensating for neural delays as a potential cause of the flash-lag effect

Yoonsuck Choe, Heejin Lim, Yoonsuck Choe, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Relationship between Flash-Lag Effect and Delay Compensation in the Nervous System

Yoonsuck Choe, Y. Choe, 2006 .

Prediction, a Prerequisite to Goal-directed Behavior, and Its Possible Origin in Delay Compensation

Yoonsuck Choe, Y. Choe, 2006 .

Charting out the octopus connectome at submicron resolution using the knife-edge scanning microscope

Yoonsuck Choe, Jaerock Kwon, John Keyser, 2010, BMC Neuroscience.

Attention augmentation with multi-residual in bidirectional LSTM

Ye Wang, Yoonsuck Choe, Han Wang, 2020, Neurocomputing.

English Out-of-Vocabulary Lexical Evaluation Task

Mi Lu, Yoonsuck Choe, Ye Wang, 2018, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

Evaluating deep learning in chum prediction for everything-as-a-service in the cloud

Bo Zhang, Yoonsuck Choe, Chul Sung, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

An Interactive Editing Framework for Electron Microscopy Image Segmentation

Yoonsuck Choe, Huei-Fang Yang, Huei-Fang Yang, 2011, ISVC.

Modeling cortical maps with Topographica

Risto Miikkulainen, Yoonsuck Choe, James A. Bednar, 2004, Neurocomputing.

Parameter Learning for Alpha Integration

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2013, Neural Computation.

Learning α-integration with partially-labeled data

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Alpha-integration of multiple evidence

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Probabilistic Combination of Multiple Evidence

Yoonsuck Choe, Seungjin Choi, Heeyoul Choi, 2009, ICONIP.

Cell tracking and segmentation in electron microscopy images using graph cuts

Yoonsuck Choe, Huei-Fang Yang, Huei-Fang Yang, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Formation of Orientation-Selective Receptive Fields and Learning of Field Orientations in Realistic Environments Using Sensory-Invariant Driven Action ( SIDA )

Stuart B. Heinrich, Yoonsuck Choe, Y. Choe, 2006 .

Laterally Interconnected Self-Organizing Maps in Hand-Written Digit Recognition

Risto Miikkulainen, Yoonsuck Choe, Joseph Sirosh, 1995, NIPS.

AI-driven high-throughput automation of behavioral analysis and dual-channel wireless optogenetics for multiplexing brain dynamics

Sung Il Park, Woo Seok Kim, Stephen Maren, 2021, bioRxiv.

Second Order Isomorphism: A Reinterpretation and Its Implications in Brain and Cognitive Sciences

Yoonsuck Choe, Y. Choe, 2019, Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society.

Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition

Takashi Yamauchi, Yoonsuck Choe, Yingwei Yu, 2004, BioADIT.