| Year |
Citation |
Score |
| 2019 |
Stanley KO, Clune J, Lehman J, Miikkulainen R. Designing neural networks through neuroevolution Nature Machine Intelligence. 1: 24-35. DOI: 10.1038/S42256-018-0006-Z |
0.629 |
|
| 2018 |
Miikkulainen R, Hodjat B, Qiu X, Liang J, Meyerson E, Rawal A, Shahrzad H. Evolution is the new deep learning Acm Sigevolution. 11: 3-7. DOI: 10.1145/3231550.3231551 |
0.338 |
|
| 2016 |
Schrum J, Miikkulainen R. Discovering Multimodal Behavior in Ms. Pac-Man through Evolution of Modular Neural Networks. Ieee Transactions On Computational Intelligence and Ai in Games. 8: 67-81. PMID 27030803 DOI: 10.1109/TCIAIG.2015.2390615 |
0.331 |
|
| 2015 |
Saggar M, Zanesco AP, King BG, Bridwell DA, MacLean KA, Aichele SR, Jacobs TL, Wallace BA, Saron CD, Miikkulainen R. Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training. Neuroimage. 114: 88-104. PMID 25862265 DOI: 10.1016/J.Neuroimage.2015.03.073 |
0.765 |
|
| 2014 |
Li X, Miikkulainen R. Evolving Multimodal Behavior Through Subtask and Switch Neural Networks Artificial Life. 439-446. DOI: 10.7551/978-0-262-32621-6-Ch072 |
0.304 |
|
| 2014 |
Hausknecht M, Lehman J, Miikkulainen R, Stone P. A neuroevolution approach to general atari game playing Ieee Transactions On Computational Intelligence and Ai in Games. 6: 355-366. DOI: 10.1109/Tciaig.2013.2294713 |
0.325 |
|
| 2014 |
Alden M, Miikkulainen R. MARLEDA: Effective distribution estimation through Markov random fields Theoretical Computer Science. DOI: 10.1016/J.Tcs.2015.07.049 |
0.775 |
|
| 2013 |
Lehman J, Stanley KO, Miikkulainen R. Effective diversity maintenance in deceptive domains Gecco 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference. 215-222. DOI: 10.1145/2463372.2463393 |
0.466 |
|
| 2012 |
Saggar M, King BG, Zanesco AP, Maclean KA, Aichele SR, Jacobs TL, Bridwell DA, Shaver PR, Rosenberg EL, Sahdra BK, Ferrer E, Tang AC, Mangun GR, Wallace BA, Miikkulainen R, et al. Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity. Frontiers in Human Neuroscience. 6: 256. PMID 22973218 DOI: 10.3389/Fnhum.2012.00256 |
0.73 |
|
| 2012 |
Kohl N, Miikkulainen R. An integrated neuroevolutionary approach to reactive control and high-level strategy Ieee Transactions On Evolutionary Computation. 16: 472-488. DOI: 10.1109/Tevc.2011.2150755 |
0.758 |
|
| 2012 |
Bednar JA, Miikkulainen R. Constructing visual function through prenatal and postnatal learning Neuroconstructivism. 2. DOI: 10.1093/acprof:oso/9780198529934.003.0002 |
0.764 |
|
| 2011 |
Hoffman RE, Grasemann U, Gueorguieva R, Quinlan D, Lane D, Miikkulainen R. Using computational patients to evaluate illness mechanisms in schizophrenia. Biological Psychiatry. 69: 997-1005. PMID 21397213 DOI: 10.1016/J.Biopsych.2010.12.036 |
0.551 |
|
| 2010 |
Saggar M, Miikkulainen R, Schnyer DM. Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming. Brain Research. 1315: 75-91. PMID 20005215 DOI: 10.1016/J.Brainres.2009.11.074 |
0.756 |
|
| 2010 |
Grasemann U, Hoffman RE, Gueorguieva R, Quinlan D, Lane D, Miikkulainen R. Evaluating computational models of language disturbance in schizophrenia Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P99 |
0.558 |
|
| 2010 |
Saggar M, Aichele SR, Jacobs TL, Zanesco AP, Bridwell DA, Maclean KA, King BG, Sahdra BK, Rosenberg EL, Shaver PR, Ferrer E, Wallace BA, Mangun GR, Saron CD, Miikkulainen R. A computational approach to understanding the longitudinal changes in cortical activity associated with intensive meditation training Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-O7 |
0.727 |
|
| 2009 |
Sit YF, Chen Y, Geisler WS, Miikkulainen R, Seidemann E. Complex dynamics of V1 population responses explained by a simple gain-control model. Neuron. 64: 943-56. PMID 20064399 DOI: 10.1016/J.Neuron.2009.08.041 |
0.769 |
|
| 2009 |
Kohl N, Miikkulainen R. Evolving neural networks for strategic decision-making problems. Neural Networks : the Official Journal of the International Neural Network Society. 22: 326-37. PMID 19362804 DOI: 10.1016/J.Neunet.2009.03.001 |
0.769 |
|
| 2009 |
Sit YF, Miikkulainen R. Computational predictions on the receptive fields and organization of V2 for shape processing. Neural Computation. 21: 762-85. PMID 19196226 DOI: 10.1162/Neco.2008.01-07-431 |
0.785 |
|
| 2009 |
Mayberry MR, Miikkulainen R. Representing semantic graphs in a self-organizing map Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5629: 172-181. DOI: 10.1007/978-3-642-02397-2_20 |
0.778 |
|
| 2007 |
Paula JD, Bednar J, Miikkulainen R. Modeling self-organizing tri-chromatic color selective regions in primary visual cortex Bmc Neuroscience. 8: 1-1. DOI: 10.1186/1471-2202-8-S2-S24 |
0.801 |
|
| 2007 |
Andoni S, Saggar M, Meriçli T, Miikkulainen R. Extracting the dynamics of the Hodgkin-Huxley model using recurrent neural networks Bmc Neuroscience. 8: P100. DOI: 10.1186/1471-2202-8-S2-P100 |
0.661 |
|
| 2007 |
Valsalam VK, Bednar JA, Miikkulainen R. Developing complex systems using evolved pattern generators Ieee Transactions On Evolutionary Computation. 11: 181-198. DOI: 10.1109/Tevc.2006.890272 |
0.788 |
|
| 2007 |
Saggar M, Meriçli T, Andoni S, Miikkulainen R. System identification for the Hodgkin-Huxley model using artificial neural networks Ieee International Conference On Neural Networks - Conference Proceedings. 2239-2244. DOI: 10.1109/IJCNN.2007.4371306 |
0.654 |
|
| 2007 |
Bryant BD, Miikkulainen R. Exploiting sensor symmetries in example-based training for intelligent agents Proceedings of the 2006 Ieee Symposium On Computational Intelligence and Games, Cig'06. 90-97. DOI: 10.1109/CIG.2006.311686 |
0.681 |
|
| 2007 |
Karpov IV, D'Silva T, Varrichio C, Stanley KO, Miikkulainen R. Integration and evaluation of exploration-based learning in games Proceedings of the 2006 Ieee Symposium On Computational Intelligence and Games, Cig'06. 39-44. DOI: 10.1109/CIG.2006.311679 |
0.532 |
|
| 2007 |
Sit YF, Miikkulainen R. A computational model of the signals in optical imaging with voltage-sensitive dyes Neurocomputing. 70: 1853-1857. DOI: 10.1016/J.Neucom.2006.10.089 |
0.763 |
|
| 2007 |
Bryant BD, Miikkulainen R. Acquiring visibly intelligent behavior with example-guided neuroevolution Proceedings of the National Conference On Artificial Intelligence. 1: 801-808. |
0.685 |
|
| 2006 |
Provost J, Kuipers BJ, Miikkulainen R. Developing navigation behavior through self-organizing distinctive-state abstraction Connection Science. 18: 159-172. DOI: 10.1080/09540090600768609 |
0.505 |
|
| 2006 |
Sit YF, Miikkulainen R. Self-organization of hierarchical visual maps with feedback connections Neurocomputing. 69: 1309-1312. DOI: 10.1016/J.Neucom.2005.12.098 |
0.801 |
|
| 2006 |
Jegelka S, Bednar JA, Miikkulainen R. Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1 Neurocomputing. 69: 1291-1296. DOI: 10.1016/J.Neucom.2005.12.094 |
0.789 |
|
| 2006 |
Bednar JA, Miikkulainen R. Joint maps for orientation, eye, and direction preference in a self-organizing model of V1 Neurocomputing. 69: 1272-1276. DOI: 10.1016/J.Neucom.2005.12.090 |
0.805 |
|
| 2006 |
Yong CH, Stanley KO, Miikkulainen R, Karpov IV. Incorporating advice into neuroevolution of adaptive agents Proceedings of the 2nd Artificial Intelligence and Interactive Digital Entertainment Conference, Aiide 2006. 98-104. |
0.497 |
|
| 2006 |
Bryant BD, Miikkulainen R. Evolving stochastic controller networks for intelligent game agents 2006 Ieee Congress On Evolutionary Computation, Cec 2006. 1007-1014. |
0.712 |
|
| 2006 |
Stanley KO, Karpov I, Miikkulainen R, Gold A. The NERO video game Proceedings of the 2nd Artificial Intelligence and Interactive Digital Entertainment Conference, Aiide 2006. 151-152. |
0.48 |
|
| 2006 |
Monroy GA, Stanley KO, Miikkulainen R. Coevolution of neural networks using a layered pareto archive Gecco 2006 - Genetic and Evolutionary Computation Conference. 1: 329-336. |
0.537 |
|
| 2006 |
Kohl N, Stanley K, Miikkulainen R, Samples M, Sherony R. Evolving a real-world vehicle warning system Gecco 2006 - Genetic and Evolutionary Computation Conference. 2: 1681-1688. |
0.487 |
|
| 2005 |
Stanley K, Sherony R, Kohl N, Miikkulainen R. Neuroevolution of an automobile crash warning system Gecco 2005 - Genetic and Evolutionary Computation Conference. 1977-1984. DOI: 10.1145/1068009.1068340 |
0.446 |
|
| 2005 |
Sit YF, Miikkulainen R. Learning basic navigation for personal satellite assistant using neuroevolutlon Gecco 2005 - Genetic and Evolutionary Computation Conference. 1913-1920. DOI: 10.1145/1068009.1068332 |
0.764 |
|
| 2005 |
Whiteson S, Stone P, Stanley KO, Miikkulainen R, Kohl N. Automatic feature selection in neuroevolution Gecco 2005 - Genetic and Evolutionary Computation Conference. 1225-1232. DOI: 10.1145/1068009.1068210 |
0.493 |
|
| 2005 |
Valsalam V, Bednar J, Miikkulainen R. Constructing good learners using evolved pattern generators Gecco 2005 - Genetic and Evolutionary Computation Conference. 11-18. DOI: 10.1145/1068009.1068012 |
0.742 |
|
| 2005 |
Stanley KO, Bryant BD, Miikkulainen R. Real-time neuroevolution in the NERO video game Ieee Transactions On Evolutionary Computation. 9: 653-668. DOI: 10.1109/Tevc.2005.856210 |
0.776 |
|
| 2005 |
Bednar JA, De Paula JB, Miikkulainen R. Self-organization of color opponent receptive fields and laterally connected orientation maps Neurocomputing. 65: 69-76. DOI: 10.1016/J.Neucom.2004.10.055 |
0.772 |
|
| 2005 |
Mayberry MR, Miikkulainen R. Broad-coverage parsing with neural networks Neural Processing Letters. 21: 121-132. DOI: 10.1007/S11063-004-3423-4 |
0.776 |
|
| 2005 |
Whiteson S, Kohl N, Miikkulainen R, Stone P. Evolving soccer keepaway players through task decomposition Machine Learning. 59: 5-30. DOI: 10.1007/S10994-005-0460-9 |
0.762 |
|
| 2005 |
Miikkulainen R, Bednar JA, Choe Y, Sirosh J. Computational maps in the visual cortex Computational Maps in the Visual Cortex. 1-538. DOI: 10.1007/0-387-28806-6 |
0.791 |
|
| 2005 |
Stanley KO, Cornelius R, Miikkulainen R, D'silva T, Gold A. Real-time learning in the NERO video game Proceedings of the 1st Artificial Intelligence and Interactive Digital Entertainment Conference, Aiide 2005. 159-162. |
0.526 |
|
| 2005 |
Stanley KO, Bryant BD, Miikkulainen R. Evolving neural network agents in the NERO video game Ieee 2005 Symposium On Computational Intelligence and Games, Cig'05. 182-189. |
0.773 |
|
| 2005 |
D'silva T, Janik R, Chrien M, Stanley KO, Miikkulainen R. Retaining learned behavior during real-time neuroevolution Proceedings of the 1st Artificial Intelligence and Interactive Digital Entertainment Conference, Aiide 2005. 39-44. |
0.525 |
|
| 2004 |
Bednar JA, Kelkar A, Miikkulainen R. Scaling self-organizing maps to model large cortical networks. Neuroinformatics. 2: 275-302. PMID 15365192 DOI: 10.1385/Ni:2:3:275 |
0.797 |
|
| 2004 |
Choe Y, Miikkulainen R. Contour integration and segmentation with self-organized lateral connections. Biological Cybernetics. 90: 75-88. PMID 14999474 DOI: 10.1007/S00422-003-0435-5 |
0.564 |
|
| 2004 |
Stanley KO, Miikkulainen R. Competitive coevolution through evolutionary complexification Journal of Artificial Intelligence Research. 21: 63-100. DOI: 10.1613/Jair.1338 |
0.59 |
|
| 2004 |
Bednar JA, Choe Y, De Paula J, Miikkulainen R, Provost J, Tversky T. Modeling cortical maps with Topographica Neurocomputing. 58: 1129-1135. DOI: 10.1016/J.Neucom.2004.01.177 |
0.751 |
|
| 2004 |
Bednar JA, Miikkulainen R. Prenatal and postnatal development of laterally connected orientation maps Neurocomputing. 58: 985-992. DOI: 10.1016/J.Neucom.2004.01.156 |
0.787 |
|
| 2004 |
Reisinger J, Stanley KO, Miikkulainen R. Evolving reusable neural modules Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3103: 69-81. |
0.526 |
|
| 2004 |
Stanley KO, Miikkulainen R. Evolving a roving eye for go Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3103: 1226-1238. |
0.469 |
|
| 2003 |
Stanley KO, Miikkulainen R. A taxonomy for artificial embryogeny. Artificial Life. 9: 93-130. PMID 12906725 DOI: 10.1162/106454603322221487 |
0.595 |
|
| 2003 |
Bednar JA, Miikkulainen R. Learning innate face preferences. Neural Computation. 15: 1525-57. PMID 12816565 DOI: 10.1162/089976603321891792 |
0.783 |
|
| 2003 |
Bryant BD, Miikkulainen R. Neuroevolution for adaptive teams 2003 Congress On Evolutionary Computation, Cec 2003 - Proceedings. 3: 2194-2201. DOI: 10.1109/CEC.2003.1299944 |
0.682 |
|
| 2003 |
Stanley KO, Bryant BD, Miikkulainen R. Evolving adaptive neural networks with and without adaptive synapses 2003 Congress On Evolutionary Computation, Cec 2003 - Proceedings. 4: 2557-2564. DOI: 10.1109/CEC.2003.1299410 |
0.773 |
|
| 2003 |
Choe Y, Miikkulainen R. The role of postsynaptic potential decay rate in neural synchrony Neurocomputing. 52: 707-712. DOI: 10.1016/S0925-2312(02)00747-6 |
0.395 |
|
| 2003 |
Bednar JA, Miikkulainen R. Self-organization of spatiotemporal receptive fields and laterally connected direction and orientation maps Neurocomputing. 52: 473-480. DOI: 10.1016/S0925-2312(02)00735-X |
0.796 |
|
| 2002 |
Stanley KO, Miikkulainen R. Evolving neural networks through augmenting topologies. Evolutionary Computation. 10: 99-127. PMID 12180173 DOI: 10.1162/106365602320169811 |
0.618 |
|
| 2002 |
Stanley KO, Miikkulainen R. Efficient evolution of neural network topologies Proceedings of the 2002 Congress On Evolutionary Computation, Cec 2002. 2: 1757-1762. DOI: 10.1109/CEC.2002.1004508 |
0.557 |
|
| 2002 |
Tversky T, Miikkulainen R. Modeling directional selectivity using self-organizing delay-adaptation maps Neurocomputing. 44: 679-684. DOI: 10.1016/S0925-2312(02)00457-5 |
0.805 |
|
| 2002 |
Bednar JA, Kelkar A, Miikkulainen R. Modeling large cortical networks with growing self-organizing maps Neurocomputing. 44: 315-321. DOI: 10.1016/S0925-2312(02)00358-2 |
0.791 |
|
| 2000 |
Bednar JA, Miikkulainen R. Tilt aftereffects in a self-organizing model of the primary visual cortex. Neural Computation. 12: 1721-40. PMID 10935924 DOI: 10.1162/089976600300015321 |
0.792 |
|
| 2000 |
Agogino A, Stanley K, Miikkulainen R. Online interactive neuro-evolution Neural Processing Letters. 11: 29-37. DOI: 10.1023/A:1009615730125 |
0.619 |
|
| 2000 |
Howe M, Miikkulainen R. Hebbian learning and temporary storage in the convergence-zone model of episodic memory Neurocomputing. 32: 817-821. DOI: 10.1016/S0925-2312(00)00248-4 |
0.312 |
|
| 2000 |
Choe Y, Miikkulainen R, Cormack LK. Effects of presynaptic and postsynaptic resource redistribution in Hebbian weight adaptation Neurocomputing. 32: 77-82. DOI: 10.1016/S0925-2312(00)00146-6 |
0.395 |
|
| 2000 |
Mayberry MR, Miikkulainen R. Combining maps and distributed representations for shift-reduce parsing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1778: 144-157. |
0.777 |
|
| 1999 |
Mayberry MR, Miikkulainen R. SARDSRN: A neural network shift-reduce parser Ijcai International Joint Conference On Artificial Intelligence. 2: 820-825. |
0.779 |
|
| 1998 |
Richards N, Moriarty DE, Miikkulainen R. Evolving Neural Networks to Play Go Applied Intelligence. 8: 85-96. DOI: 10.1023/A:1008224732364 |
0.351 |
|
| 1998 |
Choe Y, Miikkulainen R. Self-organization and segmentation in a laterally connected orientation map of spiking neurons Neurocomputing. 21: 139-157. DOI: 10.1016/S0925-2312(98)00040-X |
0.568 |
|
| 1997 |
Moriarty DE, Miikkulainen R. Forming neural networks through efficient and adaptive coevolution Evolutionary Computation. 5: 373-99. PMID 10021764 DOI: 10.1162/Evco.1997.5.4.373 |
0.329 |
|
| 1997 |
Sirosh J, Miikkulainen R. Topographic receptive fields and patterned lateral interaction in a self-organizing model of the primary visual cortex. Neural Computation. 9: 577-94. PMID 9097475 DOI: 10.1162/Neco.1997.9.3.577 |
0.418 |
|
| 1997 |
Bednar JA, Miikkulainen R. A Neural Network Model of Tilt Aftereffects Perception. 26: 87-87. DOI: 10.1068/v970199 |
0.772 |
|
| 1997 |
Miikkulainen R, Bednar JA, Choe Y, Sirosh J. 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: 257-308. DOI: 10.1016/S0079-7421(08)60286-8 |
0.805 |
|
| 1997 |
Choe Y, Miikkulainen R. Self-organization and segmentation with laterally connected spiking neurons Ijcai International Joint Conference On Artificial Intelligence. 2: 1120-1125. |
0.4 |
|
| 1996 |
Miikkulainen R. Subsymbolic case-role analysis of sentences with embedded clauses Cognitive Science. 20: 47-73. DOI: 10.1016/S0364-0213(99)80002-0 |
0.33 |
|
| 1995 |
Moriarty DE, Miikkulainen R. Discovering Complex Othello Strategies through Evolutionary Neural Networks Connection Science. 7: 195-210. DOI: 10.1080/09540099509696191 |
0.343 |
|
| 1995 |
Miikkulainen R. Script-based inference and memory retrieval in subsymbolic story processing Applied Intelligence. 5: 137-163. DOI: 10.1007/BF00877229 |
0.33 |
|
| 1994 |
Sirosh J, Miikkulainen R. Cooperative self-organization of afferent and lateral connections in cortical maps Biological Cybernetics. 71: 65-78. DOI: 10.1007/BF00198912 |
0.425 |
|
| 1991 |
Miikkulainen R, Dyer MG. Natural language processing with modular pdp networks and distributed lexicon Cognitive Science. 15: 343-399. DOI: 10.1016/0364-0213(91)80002-M |
0.635 |
|
| 1989 |
Miikkulainen R, Dyer MG. Modular neural network architecture for sequential paraphrasing of script-based stories Ijcnn Int Jt Conf Neural Network. 49-56. |
0.634 |
|
| 1988 |
Miikkulainen R, Dyer MG. Forming global representations with extended backpropagation . 285-292. |
0.597 |
|
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