Arbib, M.A., Billard, A., Iacoboni M., & Oztop E. (2000). Synthetic brain imaging: grasping, mirror neurons and imitation. Neural Networks, 13, 975-997 | ||
Arbib, M.A., Fagg, A.H., & Grafton, S.T. (2002). Synthetic PET imaging for grasping: From primate neurophysiology to human behavior. In F. Sommer and A. Wichert (Eds.), Explorative analysis and data modelling in functional neuroimaging. Cambridge, MA: The MIT Press. | ||
Batali, J. (1994). Innate biases and critical periods: Combining evolution and learning in the acquisition of syntax. In R. Brooks and P. Maes (Eds.), Artificial Life IV (pp. 160-171). Cambridge, MA: MIT Press. | UIUC | |
Cangelosi, A. (in press). Neural network models of category learning and language. Brain and Cognition | UIUC | |
Cangelosi, A. (2001). Evolution of communication and language using signals, symbols, and words. IEEE Transactions on Evolutionary Computation. 5(2), 93-101 | UIUC | |
Cangelosi, A., & Harnad, S. (2000). The adaptive advantage of symbolic theft over sensorimotor toil: Grounding language in perceptual categories. Evolution of Communication, 4(1), 117-142 | UIUC | |
Cangelosi, A., & Parisi D. (2001). How nouns and verbs differentially affect the behavior of artificial organisms. In J.D. Moore and K. Stenning (Eds.), Proceedings of the 23rd Annual Conference of the Cognitive Science Society (pp. 170-175), London: LEA. | UIUC | |
Cangelosi, A., & Parisi, D. (Eds.) (2002). Simulating the Evolution of Language. London: Springer-Verlag. | UIUC | |
Cappa, S.F., & Perani, D. (2003).The neural correlates of noun and verb processing. Journal of Neurolinguistics, 16 (2-3), 183-189 | ||
Christiansen, M.H., Chater, N., & Seidenberg, M.S. (Eds.) (1999). Connectionist models of human language processing: Progress and prospects (Special Issue). Cognitive Science, 23(4), 415-634. | UIUC | |
Corballis, M.C. (2002). From Hand to Mouth: The Origins of Language. Princeton Univ. Pr. | UIUC | |
Deacon, T.W. (1997). The Symbolic Species: The Coevolution of Language and Human Brain, London: Penguin. | UIUC | |
Feldman, J., Fanty M., & Goddard, N. (1988). Computing with structured neural networks. IEEE Computer, 21, 91-104. | ||
Gazzaniga, M.S. (Ed.) (2000). The New Cognitive Neurosciences. Cambridge, MA: MIT Press. | ||
Harnad, S. (1990). The symbol grounding problem. Physica D, 42, 335-346. | UIUC | |
Horwitz, B., & Tagamets M.-A. (1999). Predicting human functional maps with neural net modeling. Human Brain Mapping, 8, 137-142. | ||
Horwitz, B., Tagamets, M.-A., & McIntosh, A.R. (1999). Neural modeling, functional brain imaging, and cognition, Trends in Cognitive Science, 3, 91-98. | ||
Just, M.A., Carpenter P.A., & Varma, S. (1999). Computational modeling of high-level cognition and brain function. Human Brain Mapping, 8, 128-136. | ||
Kirby, S. (2001). Spontaneous evolution of linguistic structure: An iterated learning model of the emergence of regularity and irregularity. IEEE Transactions on Evolutionary Computation, 5(2), 102-110. | UIUC | |
Kirby, S. (2002). Natutal language and artificial life. Artificial Life, 8, 185-215. | UIUC | |
Marocco, D., Cangelosi, A., & Nolfi, S. (2002). The role of social and cognitive abilities in the emergence of communication: Experiments in evolutionary robotics. EPSRC/BBSRC International Workshop Biologically-Inspired Robotics (pp. 174-181). | UIUC | |
Martin, A., Haxby, J.V., Lalonde, F.M., Wiggs, C.L., & Ungerleider, L.G. (1995). Discrete cortical regions associated with knowledge of color and knowledge of action. Science, 270, 102-105. | ||
Munroe, S., & Cangelosi, A. (2003). Learning and the evolution of language: The role of cultural variation and learning cost in the Baldwin Effect. Artificial Life, 8, 311-339 | UIUC | |
Parisi, D. (1997). An Artificial Life approach to language. Brain and Language, 59, 121-146. | UIUC | |
Parisi, D., Cangelosi, A., & Falcetta. I. (in press). Nouns, verbs and language games. Journal of Italian Linguistics | ||
Perani, D., Cappa, S. F., Schnur, T., Tettamanti, M., Collina, S., Rosa, M. M., & Fazio, F. (1999). The neural correlates of verb and noun processing: A PET study. Brain, 122, 233744. | ||
Preissl, H., Pulvermueller, F., Lutzenberger, W., & Birbaumer, N. (1995). Evoked potentials distinguish between nouns and verbs. Neuroscience Letters, 197, 81-83. | ||
Pulvermueller, F., Mohr, B., & Schliechert, H. (1999). Semantic or lexico-syntactic factors: what determines word-class specific activity in the human brain? Neuroscience Letters, 275, 81-84. | ||
Rizzolatti, G., & Arbib, M. (1998). Language within our grasp. Trends in Neuroscience, 21, 188-194. | UIUC | |
Schlesinger, M., & Barto, A. (1999). Optimal control methods for simulating the perception of causality in young infants. In M. Hahn & S.C. Stoness (Eds.), Proceedings of the 21 st Annual Conference of the Cognitive Science Society (pp. 625-630). New Jersey: LEA. | ||
Steels, L., & Kaplan, F. (1998). Situated grounded word semantics. In Proceedings of IJCAI99 (pp 862-867). Los Angeles: Morgan Kauffman Publishing. | UIUC | |
Tagamets, M.A., & Horwitz, B. (1998). Integrating electrophysiological and anatomical experimental data to create a large-scale model that simulates a delayed match-to-sample human brain imaging study. Cerebral Cortex, 8, 310-320. | ||
Tagamets, M.A., Horwitz, B. (2001). Interpreting PET and fMRI measures of functional neural activity: The effects of synaptic inhibition on cortical activation in human imaging studies. Brain Research Bulletin, 54, 267-273. |
| HOME :: Back to the Paper :: References | Comments to: junwang4 you-know-at gmail.com | Last update: 11/16/07 |