Publication Search Results

TitleAuthorsort descendingBibliographicDateGroupLinks
Integration of Form Across Saccadic Eye MovementsJ.A. Feldman, M. Hayhoe, and J. LachterPerception, Vol. 20, No. 3, pp. 393-402June 1991AI
Computing with Structured Neural NetworksJ.A. Feldman, M.A. Fanty, and N.H. GoddardIEEE Computer, Vol. 21, Issue 3, pp. 91-103 1988AI
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
AL, A Programming System for AutomationJ.A. Feldman, R. Finkel, R. Taylor, R. Bolles, and R. PaulCS 456, Stanford AI Lab, Stanford UniversityNovember 1974AI
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
Hebrew University Production LanguageJ.A. Feldman, S. Tsur, and D. LehmanHebrew University, Computer Science DepartmentFebruary 1971AI
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
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
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 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
Designing a Connectionist Network SupercomputerK. Asanovic, J. Beck, J. Feldman, N. Morgan, and J. WawrzynekInternational Journal of Neural SystemsDecember 1993AI
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
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
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]

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
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
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
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
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
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
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
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
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 (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]

Linguistic and Non-Linguistic Spatial CategorizationL. E. Crawford, T. Regier, and J. HuttenlocherCognition, Vol. 75, No. 3, pp. 209-235June 2000AI
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
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]

From Transient Patterns to Persistent Structures: A model of episodic memory formation via cortic-hippocampal interactionsL. ShastriBehavioral and Brain Science, in revisionJanuary 2004AI[PDF]

A Computationally Efficient Abstraction of Long-term PotentiationL. ShastriNeurocomputing, Vol. 44-46, pp. 33-41June 2002AI[PDF]

Episodic Memory and Cortico-Hippocampal InteractionsL. ShastriTrends in Cognitive Sciences, Vol. 6, No. 4, pp. 162-168April 2002AI[PDF]

A computational model of episodic memory formation in the hippocampal systemL. ShastriNeurocomputing, Vol. 38-40, pp. 889-897 2001AI
Biological grounding of recruitment learning and vicinal algorithms in long-term potentiationL. ShastriIn Emergent neural computational architectures based on neuroscience, J. Austin, S. Wermter, and D. Wilshaw (Eds.), pp. 348-367, Springer-Verlag 2001AI
An Extended Local Connectionist Manifesto: Embracing Relational and Procedural KnowledgeL. ShastriBehavioral and Brain Sciences, Vol. 23, No. 4, pp. 492-493August 2000AI[PDF]

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
Seeking coherent explanations - a fusion of structured connectionism, temporal synchrony, and evidential reasoningL. Shastri and C. WendelkenProceedings of the 22nd Annual Conference of the Cognitive Science Society (CogSci 2000), Philadelphia, PennsylvaniaAugust 2000AI[PDF]

Soft Computing in Shruti -- A neurally plausible model of reflexive reasoning and relational information processingL. Shastri and C. WendelkenProceedings of the Third International Symposium on Soft Computing, Genova, Italy, pp. 741-747June 1999AI
Knowledge fusion in the large - taking a cue from the brainL. Shastri and C. WendelkenProceedings of the Second International Conference on Information Fusion (FUSION'99), Sunnyvale, CaliforniaJuly 1999AI[PDF]

A Connectionist Treatment of Negation and InconsistencyL. Shastri and D.J. GrannesProceedings of the 18th Conference of the Cognitive Science Society 1996AI
A case study of SHRUTIL. Shastri and D.J. GrannesIn Noetica: Open Forum, Vol. 2, Issue 7 1996AI
Massively Parallel Knowledge Representation and Reasoning - Taking a Cue from the BrainL. Shastri and D.R. ManiParallel Processing for Artificial Intelligence 3, (Eds.) Geller, J., Kitano, H. and Suttner, C. Elsevier Science 1997AI

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