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2020 – today
- 2024
[j32]Kyungrak Choi
, Yoonsuck Choe, Hangue Park:
Reinforcement Learning May Demystify the Limited Human Motor Learning Efficacy Due to Visual-Proprioceptive Mismatch. Int. J. Neural Syst. 34(7): 2450037:1-2450037:16 (2024)- [j31]Qing Wan, Siu Wun Cheung, Yoonsuck Choe:
AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit's activation via adjoint operators. Neural Networks 170: 55-71 (2024) - [c80]Shivashriganesh P. Mahato, Shreyes Kaliyur, Ji Ryang Chung, Yoonsuck Choe:
Use of External Markers by Reactive Agents as an Easier Evolutionary Route Toward Memory. IJCNN 2024: 1-9 - [c79]William Kang, Christopher Anand, Yoonsuck Choe:
The Role of Energy Constraints on the Evolution of Predictive Behavior. SAB 2024: 211-222 - [i10]Ajit Jain, Andruid Kerne, Nic Lupfer, Gabriel Britain, Aaron Perrine, Yoonsuck Choe, John Keyser, Ruihong Huang, Jinsil Hwaryoung Seo, Annie Sungkajun, Robert Lightfoot, Timothy McGuire:
Indexing Analytics to Instances: How Integrating a Dashboard can Support Design Education. CoRR abs/2404.05417 (2024) - 2023
- [j30]Jung H. Lee, Yoonsuck Choe, Salva Ardid, Reza Abbasi-Asl, Michelle McCarthy, Brian Hu:
Editorial: Functional microcircuits in the brain and in artificial intelligent systems. Frontiers Comput. Neurosci. 17 (2023) - [c78]Jin Huang, Yoonsuck Choe:
Evolution of Proxy Use in Neural Network Controllers for Crowd Modeling. IJCNN 2023: 1-8 - 2022
- [j29]Qing Wan, Yoonsuck Choe:
AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators. Neural Networks 154: 78-98 (2022) - 2021
- [c77]Ajit Jain, Andruid Kerne, Nic Lupfer, Gabriel Britain, Aaron Perrine, Yoonsuck Choe, John Keyser, Ruihong Huang:
Recognizing creative visual design: multiscale design characteristics in free-form web curation documents. DocEng 2021: 18:1-18:10 - [c76]Qinbo Li, Qing Wan, Sang-Heon Lee, Yoonsuck Choe:
Video Face Recognition with Audio-Visual Aggregation Network. ICONIP (4) 2021: 150-161 - [c75]Khuong N. Nguyen, Yoonsuck Choe:
Emergence of Different Modes of Tool Use in a Reaching and Dragging Task. IJCNN 2021: 1-8 - [c74]Maryam Savari, Yoonsuck Choe:
Online Virtual Training in Soft Actor-Critic for Autonomous Driving. IJCNN 2021: 1-8 - [i9]Yoonsuck Choe:
Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer. CoRR abs/2107.13393 (2021) - [i8]Qing Wan, Yoonsuck Choe:
AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators. CoRR abs/2110.01736 (2021) - 2020
- [j28]Ye Wang, Xinxiang Zhang, Mi Lu, Han Wang, Yoonsuck Choe:
Attention augmentation with multi-residual in bidirectional LSTM. Neurocomputing 385: 340-347 (2020) - [c73]Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe:
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks. AAAI 2020: 4452-4459 - [c72]Qing Wan, Yoonsuck Choe:
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract). AAAI 2020: 13945-13946 - [i7]Qing Wan, Yoonsuck Choe:
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model. CoRR abs/2001.08665 (2020) - [i6]Khuong N. Nguyen, Yoonsuck Choe:
Emergence of Different Modes of Tool Use in a Reaching and Dragging Task. CoRR abs/2012.04700 (2020) - [i5]Qing Wan, Yoonsuck Choe:
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators. CoRR abs/2012.09020 (2020)
2010 – 2019
- 2019
- [c71]Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe:
Comparing Sample-Wise Learnability across Deep Neural Network Models. AAAI 2019: 9961-9962 - [c70]Michael R. Nowak, Junseok Lee, Yoonsuck Choe:
A Queryable Graph Representation of Vascular Connectivity in the Whole Mouse Brain. EMBC 2019: 256-260 - [c69]Ye Wang, Han Wang, Xinxiang Zhang, Theodora Chaspari, Yoonsuck Choe, Mi Lu:
An Attention-aware Bidirectional Multi-residual Recurrent Neural Network (Abmrnn): A Study about Better Short-term Text Classification. ICASSP 2019: 3582-3586 - [c68]Khuong N. Nguyen, Jaewook Yoo, Yoonsuck Choe:
Speeding Up Affordance Learning for Tool Use, Using Proprioceptive and Kinesthetic Inputs. IJCNN 2019: 1-8 - [c67]Han Wang, Ye Wang, Xinxiang Zhang, Mi Lu, Yoonsuck Choe, Jingjing Cao:
English Out-of-Vocabulary Lexical Evaluation Task. INDIN 2019: 1468-1472 - [i4]Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe:
Comparing Sample-wise Learnability Across Deep Neural Network Models. CoRR abs/1901.02347 (2019) - [i3]Hyun-Joo Jung, Jaedeok Kim, Yoonsuck Choe:
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning. CoRR abs/1901.02757 (2019) - [i2]Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe:
Differentiable Pruning Method for Neural Networks. CoRR abs/1904.10921 (2019) - 2018
- [c66]Junseok Lee, Jaewook Yoo, Yoonsuck Choe:
Tracing and analysis of the whole mouse brain vasculature with systematic cleaning to remove and consolidate erroneous images. EMBC 2018: 143-146 - [c65]Michael R. Nowak, Yoonsuck Choe:
Towards An Open-Source Framework For The Analysis Of Cerebrovasculature Structure. EMBC 2018: 570-573 - [c64]Michael R. Nowak, Yoonsuck Choe:
Data-Driven Synthetic Cerebrovascular Models For Validation Of Segmentation Algorithms. EMBC 2018: 5154-5157 - [i1]Han Wang, Ye Wang, Mi Lu, Yoonsuck Choe:
English Out-of-Vocabulary Lexical Evaluation Task. CoRR abs/1804.04242 (2018) - 2017
- [c63]Junseok Lee, Wookyung An, Yoonsuck Choe:
Mapping the full vascular network in the mouse brain at submicrometer resolution. EMBC 2017: 3309-3312 - [c62]Khuong N. Nguyen, Xi Liu, Oleg Komogortsev, Ricardo Gutierrez-Osuna, Yoonsuck Choe:
Explanation of the perceptual oblique effect based on the fidelity of oculomotor control during saccades. ICDL-EPIROB 2017: 15-20 - [c61]Randall Reams, Yoonsuck Choe:
Emergence of tool construction in an articulated limb controlled by evolved neural circuits. IJCNN 2017: 642-649 - [c60]Khuong N. Nguyen, Yoonsuck Choe:
Dynamic control using feedforward networks with adaptive delay and facilitating neural dynamics. IJCNN 2017: 2987-2994 - [c59]Chul Sung, Chunhui Y. Higgins, Bo Zhang, Yoonsuck Choe:
Evaluating deep learning in chum prediction for everything-as-a-service in the cloud. IJCNN 2017: 3664-3669 - [c58]Michael R. Nowak, Donghyeop Han, Yoonsuck Choe:
Biologically grounded synthetic cerebrovasculature models for validation of segmentation algorithms. ISBI 2017: 714-717 - 2016
- [j27]Yoonsuck Choe, Asim Roy, Haibo He, De-Shuang Huang:
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports]. IEEE Comput. Intell. Mag. 11(1): 8-10 (2016) - [j26]Haibo He, Nitesh V. Chawla, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang:
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 27(1): 1-7 (2016) - [c57]Chul Sung, Bo Zhang, Chunhui Y. Higgins, Yoonsuck Choe:
Data-Driven Sales Leads Prediction for Everything-as-a-Service in the Cloud. DSAA 2016: 557-563 - [c56]Michael R. Nowak, Yoonsuck Choe:
Learning to distinguish cerebral vasculature data from mechanical chatter in India-ink images acquired using knife-edge scanning microscopy. EMBC 2016: 3989-3992 - [c55]Daniel E. Miller, Raj S. Shah, Wencong Zhang, Jaewook Yoo, Jaerock Kwon, David Mayerich, John Keyser, Louise C. Abbott, Yoonsuck Choe:
Fast submicrometer-scale imaging of whole zebrafish using the knife-edge scanning microscope. EMBC 2016: 5901-5904 - [c54]Michael R. Nowak, Alexander Lozovskiy, Dimitri Dobroskok, Yoonsuck Choe:
Knife-edge scanning microscopy for in silico study of cerebral blood flow: From biological imaging data to flow simulations. EMBC 2016: 5957-5960 - [c53]Sungjun Lim, Michael R. Nowak, Yoonsuck Choe:
Automated neurovascular tracing and analysis of the knife-edge scanning microscope Rat Nissl data set using a computing cluster. EMBC 2016: 6445-6448 - [c52]Michael Freitag, Yoonsuck Choe:
Analysis of tool use strategies in evolved neural circuits controlling an articulated limb. IJCNN 2016: 4331-4338 - [c51]Han Wang, Qinbo Li, Jaewook Yoo, Yoonsuck Choe:
Dynamical analysis of recurrent neural circuits in articulated limb controllers for tool use. IJCNN 2016: 4339-4345 - [c50]Amey Parulkar, Yoonsuck Choe:
Motor-based autonomous grounding in a model of the fly optic flow system. IJCNN 2016: 4354-4361 - [c49]Wookyung An, Yoonsuck Choe:
Automated Reconstruction of Neurovascular Networks in Knife-Edge Scanning Microscope Rat Brain Nissl Data Set. ISVC (1) 2016: 439-448 - 2015
- [j25]Yong Zhang, Peng Li, Yingyezhe Jin, Yoonsuck Choe:
A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2635-2649 (2015) - [c48]Takashi Yamauchi, Hwaryong Seo, Yoonsuck Choe, Casady Bowman, Kunchen Xiao:
Assessing Emotions by Cursor Motions: An Affective Computing Approach. CogSci 2015 - [c47]Shashwat Lal Das, John Keyser, Yoonsuck Choe:
Random-forest-based automated cell detection in Knife-Edge Scanning Microscope rat Nissl data. IJCNN 2015: 1-8 - [c46]Qinbo Li, Jaewook Yoo, Yoonsuck Choe:
Emergence of tool use in an articulated limb controlled by evolved neural circuits. IJCNN 2015: 1-8 - [c45]Jisung Kim, Yoonsuck Choe, Klaus Mueller:
Extracting Clinical Relations in Electronic Health Records Using Enriched Parse Trees. INNS Conference on Big Data 2015: 274-283 - [c44]Wencong Zhang, Jaewook Yoo, John Keyser, Louise C. Abbott, Yoonsuck Choe:
Real-time detection of imaging errors in the Knife-Edge Scanning Microscope through change detection. ISBI 2015: 177-181 - 2014
- [j24]Jaewook Yoo, Jaerock Kwon, Yoonsuck Choe:
Predictable internal brain dynamics in EEG and its relation to conscious states. Frontiers Neurorobotics 8: 18 (2014) - [j23]Michail Maniadakis, Marc Wittmann, Sylvie Droit-Volet, Yoonsuck Choe:
Toward embodied artificial cognition: TIME is on my side. Frontiers Neurorobotics 8: 25 (2014) - [j22]Yingwei Yu, Ricardo Gutierrez-Osuna, Yoonsuck Choe:
Context-sensitive intra-class clustering. Pattern Recognit. Lett. 37: 85-93 (2014) - [c43]Jaewook Yoo, Jinho Choi, Yoonsuck Choe:
Development of Target Reaching Gesture Map in the Cortex and Its Relation to the Motor Map: A Simulation Study. WSOM 2014: 187-197 - [r8]Yoonsuck Choe:
Anti-Hebbian Learning. Encyclopedia of Computational Neuroscience 2014 - [r7]Yoonsuck Choe:
Brain Atlases. Encyclopedia of Computational Neuroscience 2014 - [r6]Yoonsuck Choe:
Computational Neuroanatomy: Overview. Encyclopedia of Computational Neuroscience 2014 - [r5]Yoonsuck Choe:
Connectome, General. Encyclopedia of Computational Neuroscience 2014 - [r4]Yoonsuck Choe:
Hebbian Learning. Encyclopedia of Computational Neuroscience 2014 - [r3]Yoonsuck Choe:
Physical Sectioning Microscopy. Encyclopedia of Computational Neuroscience 2014 - [r2]Yoonsuck Choe, Jaerock Kwon, David Mayerich, Louise C. Abbott:
Connectome, Mouse. Encyclopedia of Computational Neuroscience 2014 - [r1]David Mayerich, Yoonsuck Choe, John Keyser:
Reconstruction, Techniques, and Validation. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j21]Heeyoul Choi, Seungjin Choi, Yoonsuck Choe:
Parameter Learning for Alpha Integration. Neural Comput. 25(6): 1585-1604 (2013) - [j20]Timothy A. Mann, Yunjung Park, Sungmoon Jeong, Minho Lee, Yoonsuck Choe:
Autonomous and Interactive Improvement of Binocular Visual Depth Estimation through Sensorimotor Interaction. IEEE Trans. Auton. Ment. Dev. 5(1): 74-84 (2013) - [c42]Chul Sung, Jongwook Woo, Matthew Goodman, Todd Huffman, Yoonsuck Choe:
Scalable, incremental learning with MapReduce parallelization for cell detection in high-resolution 3D microscopy data. IJCNN 2013: 1-7 - 2012
- [j19]Jungwoo Ryoo, Yoohwan Kim, Yoonsuck Choe, Bongjun Ko, Taek Jin Kwon:
Preface to KOCSEA Special Issue. J. Comput. Sci. Eng. 6(4): 279-279 (2012) - [c41]Timothy A. Mann, Yoonsuck Choe:
Directed Exploration in Reinforcement Learning with Transferred Knowledge. EWRL 2012: 59-76 - 2011
- [j18]Ji Ryang Chung, Chul Sung, David Mayerich, Jaerock Kwon, Daniel E. Miller, Todd Huffman, John Keyser, Louise C. Abbott, Yoonsuck Choe:
Multiscale Exploration of Mouse Brain Microstructures Using the Knife-Edge Scanning Microscope Brain Atlas. Frontiers Neuroinformatics 5: 29 (2011) - [j17]Ji Ryang Chung, Yoonsuck Choe:
Emergence of Memory in Reactive Agents Equipped With Environmental Markers. IEEE Trans. Auton. Ment. Dev. 3(3): 257-271 (2011) - [c40]Yoonsuck Choe:
Action-Based Autonomous Grounding. Lifelong Learning 2011 - [c39]Timothy A. Mann, Yoonsuck Choe:
Scaling Up Reinforcement Learning through Targeted Exploration. AAAI 2011: 435-440 - [c38]Yoonsuck Choe, David Mayerich, Jaerock Kwon, Daniel E. Miller, Ji Ryang Chung, Chul Sung, John Keyser, Louise C. Abbott:
Knife-edge scanning microscopy for connectomics research. IJCNN 2011: 2258-2265 - [c37]David Mayerich, Jaerock Kwon, Aaron Panchal, John Keyser, Yoonsuck Choe:
Fast cell detection in high-throughput imagery using GPU-accelerated machine learning. ISBI 2011: 719-723 - [c36]Jaerock Kwon, David Mayerich, Yoonsuck Choe:
Automated cropping and artifact removal for knife-edge scanning microscopy. ISBI 2011: 1366-1369 - [c35]Huei-Fang Yang, Yoonsuck Choe:
Ground Truth Estimation by Maximizing Topological Agreements in Electron Microscopy Data. ISVC (1) 2011: 371-380 - [c34]Huei-Fang Yang, Yoonsuck Choe:
An Interactive Editing Framework for Electron Microscopy Image Segmentation. ISVC (1) 2011: 400-409 - 2010
- [c33]Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe:
Learning alpha-integration with partially-labeled data. ICASSP 2010: 2058-2061 - [c32]Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe:
Alpha-integration of multiple evidence. ICASSP 2010: 2210-2213 - [c31]Timothy A. Mann, Yoonsuck Choe:
Prenatal to postnatal transfer of motor skills through motor-compatible sensory representations. ICDL 2010: 185-190 - [c30]Huei-Fang Yang, Yoonsuck Choe:
Electron Microscopy Image Segmentation with Graph Cuts Utilizing Estimated Symmetric Three-Dimensional Shape Prior. ISVC (2) 2010: 322-331 - [c29]Jaerock Kwon, Yoonsuck Choe:
Predictive internal neural dynamics for delay compensation. NaBIC 2010: 443-448 - [c28]Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe:
Manifold Alpha-Integration. PRICAI 2010: 397-408
2000 – 2009
- 2009
- [j16]Jaerock Kwon, Yoonsuck Choe:
Facilitating neural dynamics for delay compensation: A road to predictive neural dynamics? Neural Networks 22(3): 267-276 (2009) - [c27]Choonseog Park, Yoon Ho Bai, Yoonsuck Choe:
Tactile or visual?: Stimulus characteristics determine receptive field type in a self-organizing map model of cortical development. CIMSIVP 2009: 6-13 - [c26]Huei-Fang Yang, Yoonsuck Choe:
3D volume extraction of densely packed cells in EM data stack by forward and backward graph cuts. CIMSIVP 2009: 47-52 - [c25]Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe:
Probabilistic Combination of Multiple Evidence. ICONIP (1) 2009: 302-311 - [c24]Ji Ryang Chung, Yoonsuck Choe:
Emergence of Memory-like Behavior in Reactive Agents Using External Markers. ICTAI 2009: 404-408 - [c23]Ji Ryang Chung, Jaerock Kwon, Yoonsuck Choe:
Evolution of recollection and prediction in neural networks. IJCNN 2009: 571-577 - [c22]Donghyeop Han, Heeyoul Choi, Choonseog Park, Yoonsuck Choe:
Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection. IJCNN 2009: 1075-1082 - [c21]Huei-Fang Yang, Yoonsuck Choe:
Cell Tracking and Segmentation in Electron Microscopy Images Using Graph Cuts. ISBI 2009: 306-309 - [c20]Donghyeop Han, John Keyser, Yoonsuck Choe:
A Local Maximum Intensity Projection Tracing of Vasculature in Knife-Edge Scanning Microscope Volume Data. ISBI 2009: 1259-1262 - [c19]Choonseog Park, Heeyoul Choi, Yoonsuck Choe:
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties. WSOM 2009: 228-236 - 2008
- [j15]Yingwei Yu, Yoonsuck Choe:
Neural model of disinhibitory interactions in the modified Poggendorff illusion. Biol. Cybern. 98(1): 75-85 (2008) - [j14]Hao Xiong, Yoonsuck Choe:
Structural systems identification of genetic regulatory networks. Bioinform. 24(4): 553-560 (2008) - [j13]Hao Xiong, Yoonsuck Choe:
Dynamical pathway analysis. BMC Syst. Biol. 2: 9 (2008) - [j12]Heejin Lim, Yoonsuck Choe:
Extrapolative Delay Compensation Through Facilitating Synapses and Its Relation to the Flash-Lag Effect. IEEE Trans. Neural Networks 19(10): 1678-1688 (2008) - [c18]Heeyoul Choi, Seungjin Choi, Yoonsuck Choe:
Manifold Integration with Markov Random Walks. AAAI 2008: 424-429 - [c17]Bum Soon Jang, Timothy A. Mann, Yoonsuck Choe:
Effects of Varying the Delay Distribution in Random, Scale-free, and Small-world Networks. GrC 2008: 316-321 - [c16]Yoon Ho Bai, Choonseog Park, Yoonsuck Choe:
Relative advantage of touch over vision in the exploration of texture. ICPR 2008: 1-4 - [c15]Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe:
Kernel oriented discriminant analysis for speaker-independent phoneme spaces. ICPR 2008: 1-4 - [c14]Jaerock Kwon, David Mayerich, Yoonsuck Choe, Bruce H. McCormick:
Automated lateral sectioning for Knife-Edge Scanning Microscopy. ISBI 2008: 1371-1374 - [c13]Daniel Chern-Yeow Eng, Yoonsuck Choe:
Stereo Pseudo 3D Rendering for Web-based Display of Scientific Volumetric Data. VG/PBG@SIGGRAPH 2008: 73-80 - 2007
- [j11]Yoonsuck Choe, Huei-Fang Yang, Daniel Chern-Yeow Eng:
Autonomous Learning of the Semantics of Internal Sensory States Based on Motor Exploration. Int. J. Humanoid Robotics 4(2): 211-243 (2007) - [j10]Sejong Oh, Yoonsuck Choe:
Segmentation of textures defined on flat vs. layered surfaces using neural networks: Comparison of 2D vs. 3D representations. Neurocomputing 70(13-15): 2245-2255 (2007) - [c12]Hao Xiong, Yoonsuck Choe:
Constrained Estimation of Genetic Networks. BIOCOMP 2007: 51-57 - [c11]Jaerock Kwon, Yoonsuck Choe:
Enhanced Facilitatory Neuronal Dynamics for Delay Compensation. IJCNN 2007: 2040-2045 - 2006
- [j9]Yingwei Yu, Yoonsuck Choe:
A Neural Model of the Scintillating Grid Illusion: Disinhibition and Self-Inhibition in Early Vision. Neural Comput. 18(3): 521-544 (2006) - [c10]Subramonia Sarma, Yoonsuck Choe:
Salience in Orientation-Filter Response Measured as Suspicious Coincidence in Natural Images. AAAI 2006: 193-198 - [c9]Yoonsuck Choe, Noah H. Smith:
Motion-Based Autonomous Grounding: Inferring External World Properties from Encoded Internal Sensory States Alone. AAAI 2006: 936-941 - [c8]Heejin Lim, Yoonsuck Choe:
Facilitating neural dynamics for delay compensation and prediction in evolutionary neural networks. GECCO 2006: 167-174 - [c7]Heejin Lim, Yoonsuck Choe:
Delay Compensation Through Facilitating Synapses and STDP: A Neural Basis for Orientation Flash-Lag Effect. IJCNN 2006: 4269-4276 - 2005
- [b1]Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, Joseph Sirosh:
Computational Maps in the Visual Cortex. Springer 2005, ISBN 978-0-387-22024-6, pp. I-XXIX, 1-538 - 2004
- [j8]Yoonsuck Choe, Risto Miikkulainen:
Contour integration and segmentation with self-organized lateral connections. Biol. Cybern. 90(2): 75-88 (2004) - [j7]Bruce H. McCormick, Wonryull Koh, Yoonsuck Choe, Louise C. Abbott, John Keyser, David Mayerich, Zeki Melek, Purna Doddapaneni:
Construction of anatomically correct models of mouse brain networks. Neurocomputing 58-60: 379-386 (2004) - [j6]James A. Bednar, Yoonsuck Choe, Judah B. De Paula, Risto Miikkulainen, Jefferson Provost, Tal Tversky:
Modeling cortical maps with Topographica. Neurocomputing 58-60: 1129-1135 (2004) - [j5]Yoonsuck Choe:
The role of temporal parameters in a thalamocortical model of analogy. IEEE Trans. Neural Networks 15(5): 1071-1082 (2004) - [c6]Yingwei Yu, Takashi Yamauchi, Yoonsuck Choe:
Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition. BioADIT 2004: 166-175 - [c5]Yoonsuck Choe, S. Kumar Bhamidipati:
Autonomous Acquisition of the Meaning of Sensory States Through Sensory-Invariance Driven Action. BioADIT 2004: 176-188 - 2003
- [j4]Yoonsuck Choe, Risto Miikkulainen:
The role of postsynaptic potential decay rate in neural synchrony. Neurocomputing 52-54: 707-712 (2003) - [j3]Yoonsuck Choe:
Analogical cascade: a theory on the role of the thalamo-cortical loop in brain function. Neurocomputing 52-54: 713-719 (2003) - 2000
- [j2]Yoonsuck Choe, Risto Miikkulainen, Lawrence K. Cormack:
Effects of presynaptic, postsynaptic resource redistribution in Hebbian weight adaptation. Neurocomputing 32-33: 77-82 (2000) - [c4]Yoonsuck Choe, Risto Miikkulainen:
A Self-Organizing Neural Network for Contour Integration through Synchronized Firing. AAAI/IAAI 2000: 123-128
1990 – 1999
- 1998
- [j1]Yoonsuck Choe, Risto Miikkulainen:
Self-organization and segmentation in a laterally connected orientation map of spiking neurons. Neurocomputing 21(1-3): 139-157 (1998) - [c3]Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, Joseph Sirosh:
A Self-Organizing Neural Network Model of the Primary Visual Cortex. ICONIP 1998: 815-818 - 1997
- [c2]Yoonsuck Choe, Risto Miikkulainen:
Self-Organization and Segmentation with Laterally Connected Spiking Neurons. IJCAI 1997: 1120-1125 - 1995
- [c1]Yoonsuck Choe, Joseph Sirosh, Risto Miikkulainen:
Laterally Interconnected Self-Organizing Maps in Hand-Written Digit Recognition. NIPS 1995: 736-742
Coauthor Index
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