Year |
Citation |
Score |
2014 |
Caligiore D, Parisi D, Baldassarre G. Integrating reinforcement learning, equilibrium points, and minimum variance to understand the development of reaching: a computational model. Psychological Review. 121: 389-421. PMID 25090425 DOI: 10.1037/A0037016 |
0.344 |
|
2013 |
Ferrauto T, Parisi D, Di Stefano G, Baldassarre G. Different genetic algorithms and the evolution of specialization: a study with groups of simulated neural robots. Artificial Life. 19: 221-53. PMID 23514239 DOI: 10.1162/Artl_A_00106 |
0.375 |
|
2013 |
Caligiore D, Borghi AM, Parisi D, Ellis R, Cangelosi A, Baldassarre G. How affordances associated with a distractor object affect compatibility effects: a study with the computational model TRoPICALS. Psychological Research. 77: 7-19. PMID 22327121 DOI: 10.1007/S00426-012-0424-1 |
0.527 |
|
2012 |
Parisi D. Studying the impact of language on the mind by constructing robots that have language Advances in Complex Systems. 15. DOI: 10.1142/S0219525912500518 |
0.345 |
|
2011 |
Harnad S, Steels L, Belpaeme T, Madden CJ, Lallée S, Dominey PF, Cowley SJ, Weng J, Greco A, Giolito B, Parisi D, Müller VC, Loula A, Queiroz J, Gudwin R, et al. Research Commentaries on Cangelosi’s “Solutions and Open Challenges for the Symbol Grounding Problem” International Journal of Signs and Semiotic Systems. 1: 55-79. DOI: 10.4018/IJSSS.2011010105 |
0.454 |
|
2011 |
Caligiore D, Borghi AM, Parisi D, Ellis R, Cangelosi A, Baldassarre G. Affordances of distractors and compatibility effects: a study with the computational model TRoPICALS Nature Precedings. 1-1. DOI: 10.1038/Npre.2011.5848.1 |
0.554 |
|
2011 |
Borghi AM, di Ferdinando A, Parisi D. Objects, spatial compatibility, and affordances: A connectionist study Cognitive Systems Research. 12: 33-44. DOI: 10.1016/J.Cogsys.2010.06.001 |
0.343 |
|
2010 |
Parisi D. Robots with language. Frontiers in Neurorobotics. 4: 10. PMID 21120148 DOI: 10.3389/Fnbot.2010.00010 |
0.372 |
|
2010 |
Caligiore D, Borghi AM, Parisi D, Baldassarre G. TRoPICALS: a computational embodied neuroscience model of compatibility effects. Psychological Review. 117: 1188-228. PMID 21038976 DOI: 10.1037/A0020887 |
0.405 |
|
2008 |
Mirolli M, Parisi D. How producer biases can favor the evolution of communication: An analysis of evolutionary dynamics Adaptive Behavior. 16: 27-52. DOI: 10.1177/1059712307087597 |
0.351 |
|
2008 |
Calabretta R, Di Ferdinando A, Parisi D, Keil FC. How to Learn Multiple Tasks Biological Theory. 3: 30-41. DOI: 10.1162/Biot.2008.3.1.30 |
0.332 |
|
2007 |
Di Ferdinando A, Parisi D, Bartolomeo P. Modeling orienting behavior and its disorders with "ecological" neural networks. Journal of Cognitive Neuroscience. 19: 1033-49. PMID 17536973 DOI: 10.1162/Jocn.2007.19.6.1033 |
0.415 |
|
2006 |
Baldassarre G, Parisi D, Nolfi S. Distributed coordination of simulated robots based on self-organization. Artificial Life. 12: 289-311. PMID 16859442 DOI: 10.1162/Artl.2006.12.3.289 |
0.314 |
|
2005 |
Mirolli M, Parisi D. How can we explain the emergence of a language that benefits the hearer but not the speaker? Connection Science. 17: 307-324. DOI: 10.1080/09540090500177539 |
0.338 |
|
2005 |
Borghi AM, Parisi D, di Ferdinando A. Action and hierarchical levels of categories: A connectionist perspective Cognitive Systems Research. 6: 99-110. DOI: 10.1016/J.Cogsys.2004.06.003 |
0.351 |
|
2004 |
Cangelosi A, Parisi D. The processing of verbs and nouns in neural networks: insights from synthetic brain imaging. Brain and Language. 89: 401-8. PMID 15068924 DOI: 10.1016/S0093-934X(03)00353-5 |
0.619 |
|
2004 |
Radicchi F, Castellano C, Cecconi F, Loreto V, Parisi D. Defining and identifying communities in networks. Proceedings of the National Academy of Sciences of the United States of America. 101: 2658-63. PMID 14981240 DOI: 10.1073/Pnas.0400054101 |
0.301 |
|
2004 |
Castellano C, Cecconi F, Loreto V, Parisi D, Radicchi F. Self-contained algorithms to detect communities in networks European Physical Journal B. 38: 311-319. DOI: 10.1140/Epjb/E2004-00123-0 |
0.318 |
|
2004 |
Schlesinger M, Parisi D. Beyond backprop: emerging trends in connectionist models of development: an introduction Developmental Science. 7: 131-132. DOI: 10.1111/J.1467-7687.2004.00329.X |
0.4 |
|
2004 |
Calabretta R, Di Ferdinando A, Parisi D. Ecological Neural Networks for Object Recognition and Generalization Neural Processing Letters. 19: 37-48. DOI: 10.1023/B:Nepl.0000016846.74699.1A |
0.397 |
|
2003 |
Baldassarre G, Nolfi S, Parisi D. Evolving mobile robots able to display collective behaviors. Artificial Life. 9: 255-67. PMID 14556687 DOI: 10.1162/106454603322392460 |
0.312 |
|
2003 |
Calabretta R, Ferdinando AD, Wagner GP, Parisi D. What does it take to evolve behaviorally complex organisms? Bio Systems. 69: 245-62. PMID 12689732 DOI: 10.1016/S0303-2647(02)00140-5 |
0.343 |
|
2003 |
Baldassarre G, Nolfi S, Parisi D. Evolution of collective behavior in a team of physically linked robots Lecture Notes in Computer Science. 581-592. DOI: 10.1007/3-540-36605-9_53 |
0.322 |
|
2002 |
Bartolomeo P, Pagliarini L, Parisi D. Emergence of orienting behavior in ecological neural networks Neural Processing Letters. 15: 69-76. DOI: 10.1023/A:1013896827975 |
0.359 |
|
2002 |
Parisi D, Schlesinger M. Artificial Life and Piaget Cognitive Development. 17: 1301-1321. DOI: 10.1016/S0885-2014(02)00119-3 |
0.329 |
|
2001 |
Eiane K, Parisi D. Towards a robust concept for modelling zooplankton migration Sarsia. 86: 465-475. DOI: 10.1080/00364827.2001.10420486 |
0.344 |
|
2001 |
Schlesinger M, Parisi D. The Agent-Based Approach: A New Direction for Computational Models of Development Developmental Review. 21: 121-146. DOI: 10.1006/Drev.2000.0520 |
0.325 |
|
2000 |
Calabretta R, Nolfi S, Parisi D, Wagner GP. Duplication of modules facilitates the evolution of functional specialization. Artificial Life. 6: 69-84. PMID 10943666 DOI: 10.1162/106454600568320 |
0.33 |
|
1998 |
CANGELOSI A, PARISI D. The Emergence of a 'Language' in an Evolving Population of Neural Networks Connection Science. 10: 83-97. DOI: 10.1080/095400998116512 |
0.572 |
|
1998 |
Cangelosi A, Parisi D. Concepts in artificial organisms Behavioral and Brain Sciences. 21: 68-69. DOI: 10.1017/S0140525X98250400 |
0.604 |
|
1998 |
Miglino O, Denaro D, Tascini G, Parisi D. Detour Behaviour in Evolving Robots: Are Internal Representations Necessary? Lecture Notes in Computer Science. 59-70. DOI: 10.1007/3-540-64957-3_64 |
0.355 |
|
1997 |
Parisi D. An artificial life approach to language. Brain and Language. 59: 121-46. PMID 9262853 DOI: 10.1006/Brln.1997.1815 |
0.366 |
|
1997 |
Parisi D. Artificial life and higher level cognition. Brain and Cognition. 34: 160-184. PMID 9209760 DOI: 10.1006/Brcg.1997.0911 |
0.36 |
|
1997 |
Parisi D. Cultural evolution in neural networks Ieee Expert. 12: 9-14. DOI: 10.1109/64.608170 |
0.304 |
|
1997 |
Cangelosi A, Parisi D, Cangelosi A. Neural Processing Letters. 6: 91-98. DOI: 10.1023/A:1009615807222 |
0.599 |
|
1996 |
Nolfi S, Parisi D. Learning to Adapt to Changing Environments in Evolving Neural Networks Adaptive Behavior. 5: 75-98. DOI: 10.1177/105971239600500104 |
0.339 |
|
1996 |
Calabretta R, Galbiati R, Nolfi S, Parisi D. Two is better than one: A diploid genotype for neural networks Neural Processing Letters. 4: 149-155. DOI: 10.1007/Bf00426023 |
0.354 |
|
1995 |
Lund HH, Parisi D. Preadaptation in Populations of Neural Networks Evolving in a Changing Environment Artificial Life. 2: 179-197. DOI: 10.1162/Artl.1995.2.179 |
0.301 |
|
1994 |
Nolfi S, Parisi D, Elman JL. Learning and Evolution in Neural Networks Adaptive Behavior. 3: 5-28. DOI: 10.1177/105971239400300102 |
0.328 |
|
1994 |
Cangelosi A, Parisi D, Nolfi S. Cell division and migration in a ‘genotype’ for neural networks Network: Computation in Neural Systems. 5: 497-515. DOI: 10.1088/0954-898X/5/4/005 |
0.586 |
|
1994 |
Nolfi S, Parisi D. Good teaching inputs do not correspond to desired responses in ecological neural networks Neural Processing Letters. 1: 1-4. DOI: 10.1007/Bf02310934 |
0.391 |
|
1992 |
Treves A, Miglino O, Parisi D. Rats, nets, maps, and the emergence of place cells Psychobiology. 20: 1-8. DOI: 10.3758/Bf03327152 |
0.319 |
|
1992 |
Menczer F, Parisi D. Recombination and unsupervised learning: Effects of crossover in the genetic optimization of neural networks Network: Computation in Neural Systems. 3: 423-442. DOI: 10.1088/0954-898X_3_4_007 |
0.374 |
|
1990 |
Parisi D, Cecconi F, Nolfi S. Econets: Neural networks that learn in an environment Network: Computation in Neural Systems. 1: 149-168. DOI: 10.1088/0954-898X_1_2_003 |
0.407 |
|
1988 |
Nolfi S, Parisi D. One trial learning of stimulus sequences in a connectionist network Neural Networks. 1: 312. DOI: 10.1016/0893-6080(88)90343-7 |
0.302 |
|
1985 |
Parisi D. A procedural approach to the study of aphasia. Brain and Language. 26: 1-15. PMID 2413955 DOI: 10.1016/0093-934X(85)90024-0 |
0.307 |
|
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