Publication Search Results

TitleAuthorsort ascendingBibliographicDateGroupLinks
Types and Quantifiers in Shruti --- a connectionist model of rapid reasoning and relational processingL. ShastriHybrid Neural Symbolic Integration, S. Wermter and R. Sun (Eds.), Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, Springer-Verlag 2000AI
Advances in Shruti - A Neurally Motivated Model of Relational Knowledge Representation and Rapid Inference Using Temporal SynchronyL. ShastriApplied Intelligence, Vol. 11, No. 1, pp. 79-108July 1999AI[PDF]

Recruitment of binding and binding-error detector circuits via long-term potentiationL. ShastriNeurocomputing, Vol. 26-27, pp. 865-874 1999AI
Infants learning algebraic rulesL. ShastriScience, Vol. 285, Issue 5434, pp. 1673September 1999AI
A short (and early) paper describing this workL. ShastriProceedings of the 19th Annual Conference of the Cognitive Science Society, Stanford, California, pp. 680-685 1997AI
An Extended Local Connectionist Manifesto: Embracing Relational and Procedural KnowledgeL. ShastriBehavioral and Brain Sciences 2000AI[PDF]

Temporal Synchrony, Dynamic Bindings, and SHRUTI -- a representational but non-classical model of reflexive reasoningL. ShastriBehavioral and Brain Sciences, Vol. 19, No. 2, 331--337 1996AI[PDF]

SHRUTI: A Neurally Motivated Architecture for Rapid, Scalable InferenceL. ShastriPerspectives of Neural-Symbolic Integration (Studies in Computational Intelligence Series, Vol. 77), B. Hammer and P. Hitzler, eds., pp. 183-203, Springer Berlin/Heidelberg 2007AI
Structured Connectionist ModelsL. ShastriIn The Handbook of Brain Theory and Neural Networks, II ed., M. Arbib (ed.), MIT Press 2003AI
Electrophysiological Evidence for the Left-Lateralized Effect of Language on Preattentive Categorical Perception of ColorL. Mo, G. Xu, P. Kay, and L.-H. TaneProceedings of the National Academy of Sciences of the United States of America, Vol. 108, No. 34, pp. 14026-14030. DOI:10.1073/pnas.1111860108August 2011AI[PDF]

Together at Last: The Tense-Aspect Interface in Simulation SemanticsL. Michaelis, N. Chang, and S. NarayananProceedings of the First Conference on New Directions in Cognitive Linguistics, Sussex, United KingdomOctober 2005AI
Linguistic and Non-Linguistic Spatial CategorizationL. E. Crawford, T. Regier, and J. HuttenlocherCognition, Vol. 75, No. 3, pp. 209-235June 2000AI
A (Somewhat) New Solution to the Binding ProblemL. Barrett, J. Feldman, and L. Mac DermedNeural Computation, Vol. 20, Issue 9, pp. 2361-2378 (previously published as ICSI Technical Report in 2006)September 2008AI[PDF]

Learning All Optimal Policies with Multiple CriteriaL. Barrett and S. NarayananProceedings of 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland, pp. 41-47July 2008AI[PDF]

A Comparison of Premotor Areas Activated by Action Observation and Action PhrasesL. Aziz-Zadeh, S. M. Wilson, and M. IacoboniSociety for Neuroscience Abstract Viewer/Itinerary Planner, Program No. 852.14November 2005AI
Hemispheric Sensitivity to Body Stimuli in Simple Reaction TimeL. Aziz-Zadeh, M. Iacoboni, and E. ZaidelExperimental Brain Research, Vol. 170, No. 1, pp. 116-121November 2005AI
Lateralization of the Human Mirror Neuron SystemL. Aziz-Zadeh, L. Koski, E. Zaidel, J. Mazziotta, and M. IacoboniJournal of Neuroscience, Vol. 26, Issue 11, pp. 2964-2970March 2006AI
Modulation of the FFA and PPA While Listening to Sentences About Faces and PlacesL. Aziz-Zadeh, C. Fiebach, S. Narayanan, J. Feldman, E. Dodge, and R. IvryHuman Brain Mapping Conference (also under review for publication in Neuroimage)June 2006AI
Modulation of the FFA and PPA by Language Related to Faces and PlacesL. Aziz-Zadeh, C. Fiebach, S. Narayanan, J. Feldman, E. Dodge, and R. B. IvrySocial Neuroscience, Vol. 3, Issues 3-4, pp. 229-238September 2008AI
An Overview of Japanese FrameNetK.H. Ohara, S. Ishizaki, T. Ohori, H. Saito, R. Suzuki, and S. FujiiProceedings of the Fifth Annual Meeting of the Japanese Cognitive Linguistics Association (JCLA 5), Oasaka, Japan, pp. 613-616 (in Japanese)September 2004AI
From Relativization to Clause-Linkage: Evidence from Modern JapaneseK.H. OharaIn Grammatical Constructions: Back to the Roots, M. Fried, and H. C. Boas, eds., pp. 57-70, John Benjamins Publishing Company 2005AI
On Internally Headed Relativization and Clause-Linking Constructions in Modern JapaneseK.H. OharaPaper presented at the 9th International Pragmatics Conference (IPrA), Riva del Garda, ItalyJuly 2005AI
Rochester's Intelligent GatewayK.A. Lantz, K.D. Gradischnig, J.A. Feldman, and R.F. RashidIEEE Computer, Vol. 15, Issue 10, pp. 54-68 1982AI
Newly Trained Lexical Categories Produce Lateralized Categorical Perception of ColorK. Zhou, L. Mo, P. Kay, V. P. Y. Kwok, T. N. M. Ip, and L. H. TanProceedings of the National Academy of Sciences of the United States of America, Vol. 107, No. 22, pp. 9974-9978. DOI:10.1073/pnas.1005669107.June 2010AI[PDF]

Japanese FrameNet: A Semantically-Tagged CorpusK. Ohara, T. Ohori, R. Suzuki, S. Fujii, H. Saito, and S. IshizakiPresented at the 11th Annual Meeting of the Association for Natural Language Processing, Takamatsu, Japan (in Japanese)March 2005AI
Frame Semantics and Japanese FrameNetK. H. OharaNihongogaku (Japanese Linguistics), Vol. 25, Issue 6, pp. 40-52April 2006AI
Frame-Based Contrastic Lexical Semantics in Japanese FrameNet: The Case of Risk and KakeruK. H. OharaIn Multilingual FrameNets in Computational Lexicography: Methods and Applications, H. Boas, ed., pp. 163-182, Mouton de Gruyter 2009AI
Designing a Connectionist Network SupercomputerK. Asanovic, J. Beck, J. Feldman, N. Morgan, and J. WawrzynekInternational Journal of Neural SystemsDecember 1993AI
A Laboratory for Hand-Eye ResearchJ.M. Tenenbaum, A.C. Kay, T.O. Binford, G. Falk, J.A. Feldman, G. Grape, R. Paul, K.K. Pingle, I. Sobel, and R.F. SproullProceedings of IFIP Congress 71, Foundations and Systems, Ljubljana, Yugoslavia, Vol. 1, pp. 206-210August 1971AI
RIG, Rochester's Intelligent Gateway: System OverviewJ.E. Ball, J.A. Feldman, J. Low, R.F. Rashid, and P. RovnerIEEE Transactions on Software Engineering, Vol. 2, Issue 4, pp. 321-328 1976AI
A frame-semantic approach to semantic annotationJ.B. Lowe, C.F. Baker, and C.J. FillmoreProceedings of the SIGLEX Workshop on Tagging Text with Lexical Semantics: Why, What, and How?, Washington, D.C., in conjunction with the Fifth Conference on Applied Natural Language Processing (ANLP 97)April 04 1997AI
A Testbed for the Miniature Language L0J.A. Feldman, S. Weber, and A. StolckeProceedings of the Fifth Rocky Mountain Conference on Artificial Intelligence, New Mexico State University, Las Cruces, New MexicoJune 1990AI
Hebrew University Production LanguageJ.A. Feldman, S. Tsur, and D. LehmanHebrew University, Computer Science DepartmentFebruary 1971AI
The Computer Description of Simply Described ScenesJ.A. Feldman, R.P. Paul, and G. FalkA.I. Memo 101, Stanford University; also in Pertinent Concepts in Computer Graphics, J. Nievergelt and M. Faiman (eds.), University of Illinois Press 1969AI
AL, A Programming System for AutomationJ.A. Feldman, R. Finkel, R. Taylor, R. Bolles, and R. PaulCS 456, Stanford AI Lab, Stanford UniversityNovember 1974AI
Computing with Structured Connectionist NetworksJ.A. Feldman, M.A. Fanty, N.H. Goddard, and K.J. LynneCommunications of the ACM, Vol. 31, Issue 2, pp. 170-187 1988AI
Computing with Structured Neural NetworksJ.A. Feldman, M.A. Fanty, and N.H. GoddardIEEE Computer, Vol. 21, Issue 3, pp. 91-103 1988AI
Capacity Limitations in the Integration of Information Across SaccadesJ.A. Feldman, M. Hayhoe, and J. LachterPaper presented at ARVO 1991 1991AI
Integration of Form Across Saccadic Eye MovementsJ.A. Feldman, M. Hayhoe, and J. LachterPerception, Vol. 20, No. 3, pp. 393-402June 1991AI
The Use of Vision and Manipulation to Solve theJ.A. Feldman, K.K. Pingle, T.O. Binford, G. Falk, A. Hay, R. Pau, R.F. Sproull, and J.M. TenenbaumProceedings of the Second International Joint Conferences on Artificial Intelligence (IJCAI 1971), London, UK, pp. 359-364September 1971AI
Rochester's Intelligent GatewayJ.A. Feldman, K. Lantz, K. Gradischnig, and R. RashidComputer, Vol. 15, Issue 10October 1982AI
Connectionist Models and Cognitive Science: Goals, Directions and ImplicationsJ.A. Feldman, J.L. McClelland, G. Bower, and D. McDermottPosition paper from NSF Workshop on Connectionist Modeling 1986AI
Programming Distributed SystemsJ.A. Feldman, J. Low, and P. RovnerProceedings of the ACM Annual Conference, Washington, D.C., Vol. 2, pp. 310-317December 1978AI
Miniature Language Acquisition: A Touchstone for Cognitive ScienceJ.A. Feldman, G. Lakoff, A. Stolcke, and S. WeberProceedings of the 12th Annual Conference of the Cognitive Science Society, MIT, Cambridge, Massachusetts, pp. 686-693. Also ICSI Technical Report TR-90-009March 1990AI
Research in Computer Science and Computer EngineeringJ.A. Feldman, et.alTR3, University of Rochester, Departments of Computer Science and Electrical EngineeringNovember 1975AI
A Problem-List of Issues Concerning Computers and Public PolicyJ.A. Feldman, et.alReported to ACM Committee on Computing and Public PolicySeptember 1974AI
Recent Developments in SAIL--An Algol Based Language for Artificial IntelligenceJ.A. Feldman, et.alCS 308, Stanford University. Also in Proceedings of the Fall Joint Computer Conference, pp. 1193-1202, Anaheim, California, 1972August 1973AI
Grammatical Inference and Grammatical ComplexityJ.A. Feldman, et.alCS 125, Stanford University, Computer Science Department, Stanford, CaliforniaMay 1969AI
Rochester Connectionist Papers 1979-84J.A. Feldman, D.H. Ballard, C.M. Brown, and S.L. SmallTR124, Computer Science Department, University of Rochester, New York, RevisedJune 1984AI
Rochester Connectionist Papers: 1979-1985J.A. Feldman, D.H. Ballard, C.M. Brown, and G.S. DellTR172, Computer Science Department, University of Rochester, New YorkDecember 1985AI

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