Year |
Citation |
Score |
2015 |
Martin CE, Reggia JA. Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks. Computational Intelligence and Neuroscience. 2015: 642429. PMID 26346488 DOI: 10.1155/2015/642429 |
0.673 |
|
2014 |
Reggia JA, Monner D, Sylvester J. The computational explanatory gap Journal of Consciousness Studies. 21: 153-178. |
0.66 |
|
2013 |
Monner DD, Reggia JA. Recurrent neural collective classification. Ieee Transactions On Neural Networks and Learning Systems. 24: 1932-43. PMID 24805213 DOI: 10.1109/TNNLS.2013.2270376 |
0.649 |
|
2013 |
Grushin A, Monner DD, Reggia JA, Mishra A. Robust human action recognition via long short-term memory Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6706797 |
0.672 |
|
2012 |
Huynh TQ, Reggia JA. Symbolic representation of recurrent neural network dynamics. Ieee Transactions On Neural Networks and Learning Systems. 23: 1649-58. PMID 24808009 DOI: 10.1109/TNNLS.2012.2210242 |
0.792 |
|
2012 |
Monner D, Reggia JA. A generalized LSTM-like training algorithm for second-order recurrent neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 25: 70-83. PMID 21803542 DOI: 10.1016/J.Neunet.2011.07.003 |
0.686 |
|
2012 |
Winder RK, Reggia JA. The role of working memory in an urban pursuit scenario Artificial Life 13: Proceedings of the 13th International Conference On the Simulation and Synthesis of Living Systems, Alife 2012. 291-298. DOI: 10.7551/978-0-262-31050-5-Ch039 |
0.723 |
|
2012 |
Chabuk T, Reggia J, Lohn J, Linden D. Causally-guided evolutionary optimization and its application to antenna array design Integrated Computer-Aided Engineering. 19: 111-124. DOI: 10.3233/Ica-2012-0395 |
0.702 |
|
2012 |
Monner D, Reggia JA. Emergent latent symbol systems in recurrent neural networks Connection Science. 24: 193-225. DOI: 10.1080/09540091.2013.798262 |
0.716 |
|
2012 |
Monner D, Reggia JA. Neural architectures for learning to answer questions Biologically Inspired Cognitive Architectures. 2: 37-53. DOI: 10.1016/j.bica.2012.06.002 |
0.705 |
|
2011 |
Huynh TQ, Reggia JA. Guiding hidden layer representations for improved rule extraction from neural networks. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 22: 264-75. PMID 21138801 DOI: 10.1109/TNN.2010.2094205 |
0.783 |
|
2011 |
Monner D, Reggia JA. Towards a biologically inspired question-answering neural architecture Frontiers in Artificial Intelligence and Applications. 233: 243-248. DOI: 10.3233/978-1-60750-959-2-243 |
0.705 |
|
2011 |
Monner DD, Reggia JA. Systematically grounding language through vision in a deep, recurrent neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6830: 112-121. DOI: 10.1007/978-3-642-22887-2_12 |
0.706 |
|
2010 |
Pan Z, Reggia JA. Computational discovery of instructionless self-replicating structures in cellular automata. Artificial Life. 16: 39-63. PMID 19857141 DOI: 10.1162/Artl.2009.16.1.16104 |
0.718 |
|
2010 |
Grushin A, Reggia JA. Parsimonious rule generation for a nature-inspired approach to self-assembly Acm Transactions On Autonomous and Adaptive Systems. 5. DOI: 10.1145/1837909.1837913 |
0.765 |
|
2010 |
Martin CE, Reggia JA. Self-assembly of neural networks viewed as swarm intelligence Swarm Intelligence. 4: 1-36. DOI: 10.1007/S11721-009-0035-7 |
0.685 |
|
2010 |
Pan Z, Reggia JA. Artificial evolution of arbitrary self-replicating structures in cellular spaces Understanding Complex Systems. 2010: 193-216. DOI: 10.1007/978-3-642-12203-3-9 |
0.701 |
|
2009 |
Winder RK, Reggia JA, Weems SA, Bunting MF. An oscillatory Hebbian network model of short-term memory. Neural Computation. 21: 741-61. PMID 18928370 DOI: 10.1162/Neco.2008.02-08-715 |
0.758 |
|
2009 |
Rodríguez A, Reggia JA. A distributed learning algorithm for particle systems Integrated Computer-Aided Engineering. 16: 1-20. DOI: 10.3233/Ica-2009-0301 |
0.443 |
|
2009 |
Monner D, Reggia JA. An unsupervised learning method for representing simple sentences Proceedings of the International Joint Conference On Neural Networks. 2133-2140. DOI: 10.1109/IJCNN.2009.5179016 |
0.648 |
|
2009 |
Huynh TQ, Reggia JA. Improving rule extraction from neural networks by modifying hidden layer representations Proceedings of the International Joint Conference On Neural Networks. 1316-1321. DOI: 10.1109/IJCNN.2009.5178685 |
0.775 |
|
2009 |
Weems SA, Winder RK, Bunting M, Reggia JA. Running memory span: A comparison of behavioral capacity limits with those of an attractor neural network Cognitive Systems Research. 10: 161-171. DOI: 10.1016/J.Cogsys.2008.09.001 |
0.76 |
|
2008 |
Grushin A, Reggia JA. Automated design of distributed control rules for the self-assembly of prespecified artificial structures Robotics and Autonomous Systems. 56: 334-359. DOI: 10.1016/J.Robot.2007.08.006 |
0.758 |
|
2007 |
Howard MF, Reggia JA. A theory of the visual system biology underlying development of spatial frequency lateralization. Brain and Cognition. 64: 111-23. PMID 17349728 DOI: 10.1016/j.bandc.2007.01.004 |
0.406 |
|
2007 |
Winder R, Cortes CR, Reggia JA, Tagamets MA. Functional connectivity in fMRI: A modeling approach for estimation and for relating to local circuits. Neuroimage. 34: 1093-107. PMID 17134917 DOI: 10.1016/J.Neuroimage.2006.10.008 |
0.764 |
|
2007 |
Pan Z, Reggia J, Gao D. Properties of self-replicating cellular automata systems discovered using genetic programming Advances in Complex Systems. 10: 61-84. DOI: 10.1142/S0219525907001112 |
0.702 |
|
2006 |
Jung JY, Reggia JA. Evolutionary design of neural network architectures using a descriptive encoding language Ieee Transactions On Evolutionary Computation. 10: 676-688. DOI: 10.1109/Tevc.2006.872346 |
0.648 |
|
2005 |
Schulz R, Reggia JA. Mirror symmetric topographic maps can arise from activity-dependent synaptic changes. Neural Computation. 17: 1059-83. PMID 15829100 DOI: 10.1162/0899766053491904 |
0.619 |
|
2005 |
Reggia JA, Grushin A. Population lateralization arises in simulated evolution of non-interacting neural networks Behavioral and Brain Sciences. 28: 609-611. DOI: 10.1017/S0140525X05430101 |
0.759 |
|
2005 |
Grushin A, Reggia JA. Evolving processing speed asymmetries and hemispheric interactions in a neural network model Neurocomputing. 65: 47-53. DOI: 10.1016/J.Neucom.2004.10.087 |
0.778 |
|
2005 |
Pan Z, Reggia J. Evolutionary discovery of arbitrary self-replicating structures Lecture Notes in Computer Science. 3515: 404-411. |
0.71 |
|
2004 |
Rodríguez A, Reggia JA. Extending self-organizing particle systems to problem solving. Artificial Life. 10: 379-95. PMID 15479544 DOI: 10.1162/1064546041766424 |
0.416 |
|
2004 |
Winder R, Reggia JA. Using distributed partial memories to improve self-organizing collective movements. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 34: 1697-707. PMID 15462437 DOI: 10.1109/TSMCB.2004.828188 |
0.749 |
|
2004 |
Howard MF, Reggia JA. The effects of multi-task learning and time-varying hemispheric asymmetry on lateralisation in a neural network model. Laterality. 9: 113-31. PMID 15382713 DOI: 10.1080/13576500244000300 |
0.504 |
|
2004 |
Schulz R, Reggia JA. Temporally asymmetric learning supports sequence processing in multi-winner self-organizing maps. Neural Computation. 16: 535-61. PMID 15006091 DOI: 10.1162/089976604772744901 |
0.644 |
|
2003 |
Shkuro Y, Reggia JA. Cost minimization during simulated evolution of paired neural networks leads to asymmetries and specialization Cognitive Systems Research. 4: 365-383. DOI: 10.1016/S1389-0417(03)00019-6 |
0.799 |
|
2002 |
Schulz RA, Reggia JA. Predicting nearest agent distances in artificial worlds. Artificial Life. 8: 247-64. PMID 12537685 DOI: 10.1162/106454602320991846 |
0.636 |
|
2002 |
Reggia JA, Schulz R. The role of computational modeling in understanding hemispheric interactions and specialization Cognitive Systems Research. 3: 87-94. DOI: 10.1016/S1389-0417(01)00047-X |
0.668 |
|
2001 |
Reggia JA, Goodall SM, Shkuro Y, Glezer M. The callosal dilemma: explaining diaschisis in the context of hemispheric rivalry via a neural network model. Neurological Research. 23: 465-71. PMID 11474802 DOI: 10.1179/016164101101198857 |
0.79 |
|
2001 |
Reggia JA, Schulz R, Wilkinson GS, Uriagereka J. Conditions enabling the evolution of inter-agent signaling in an artificial world. Artificial Life. 7: 3-32. PMID 11461687 DOI: 10.1162/106454601300328007 |
0.617 |
|
2000 |
Reggia JA, Gittens SD, Chhabra J. Post-lesion lateralisation shifts in a computational model of single-word reading. Laterality. 5: 133-54. PMID 15513138 DOI: 10.1080/713754362 |
0.734 |
|
2000 |
Shkuro Y, Glezer M, Reggia JA. Interhemispheric effects of simulated lesions in a neural model of single-word reading. Brain and Language. 72: 343-74. PMID 10764522 DOI: 10.1006/Brln.2000.2297 |
0.781 |
|
1999 |
Chhabra J, Glezer M, Shkuro Y, Gittens SD, Reggia JA. Effects of callosal lesions in a computational model of single-word reading. Progress in Brain Research. 121: 219-42. PMID 10551029 DOI: 10.1016/S0079-6123(08)63076-9 |
0.759 |
|
1998 |
Reggia JA, Goodall S, Shkuro Y. Computational studies of lateralization of phoneme sequence generation. Neural Computation. 10: 1277-97. PMID 9654771 DOI: 10.1162/089976698300017458 |
0.791 |
|
1995 |
Weinrich M, Armentrout S, Reggia J. A Neural Model of Recovery from Lesions in the Somatosensory System Neurorehabilitation and Neural Repair. 9: 25-32. DOI: 10.1177/154596839500900104 |
0.33 |
|
1992 |
Reggia J. Book review: Cellular Automata: Theory and Experiment Edited by Howard Gutowitz (MIT Press) Intelligence\/Sigart Bulletin. 3: 8. DOI: 10.1145/140936.1063775 |
0.303 |
|
1991 |
Tuhrim S, Reggia J, Goodall S. An experimental study of criteria for hypothesis plausibility Journal of Experimental and Theoretical Artificial Intelligence. 3: 129-144. DOI: 10.1080/09528139108915285 |
0.315 |
|
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