Dr John A. Bullinaria's Publications

Bullinaria, J.A. (2017). Imitative and Direct Learning as Interacting Factors in Life History Evolution. Artificial Life, 23, 374-405. (pdf)

Levy, J.P., Bullinaria, J.A. & McCormick, S. (2017). Semantic Vector Evaluation and Human Performance on a New Vocabulary MCQ Test. In: Proceedings of the Thirty-ninth Annual Conference of the Cognitive Science Society, 2549-2554. Austin, TX: Cognitive Science Society. (pdf)

Bullinaria, J.A. (2016). Population Based Simulation of Gender Inequality Issues. In: Proceedings of Artificial Life XV Conference (Alife XV), 452-459. Cambridge, MA: MIT Press. (pdf)

Garcia-Najera, A., Bullinaria, J.A. & Gutierrez-Andrade, M.A. (2015). An Evolutionary Approach for Multi-Objective Vehicle Routing Problems with Backhauls. Computers & Industrial Engineering, 81, 90-108. (pdf)

Bullinaria, J.A. & Alyahya, K. (2014). Artificial Bee Colony Training of Neural Networks: Comparison with Back-Propagation. Memetic Computing, 6, 171-182. (pdf)

Bullinaria, J.A. & Levy, J.P. (2013). Limiting Factors for Mapping Corpus Based Semantic Representations to Brain Activity. PLoS ONE, 8(3), e57191. (pdf)

Bullinaria, J.A. & Alyahya, K. (2013). Artificial Bee Colony Training of Neural Networks. In: G. Terrazas, F.E.B. Otero & A.D. Masegosa (Eds), Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 191-201. Cham, Switzerland: Springer. (pdf)

Bullinaria, J.A. & Levy, J.P. (2012). Extracting Semantic Representations from Word Co-occurrence Statistics: Stop-lists, Stemming and SVD. Behavior Research Methods, 44, 890-907. (pdf)

Levy, J.P. & Bullinaria, J.A. (2012). Using Enriched Semantic Representations in Predictions of Human Brain Activity. In: E.J. Davelaar (Ed.), Connectionist Models of Neurocognition and Emergent Behavior: From Theory to Applications, 292-308. Singapore: World Scientific. (pdf)

Bullinaria, J.A. (2011). Text to Phoneme Alignment and Mapping for Speech Technology: A Neural Networks Approach. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2011), 625-632. Piscataway, NJ: IEEE. (pdf)

Landassuri-Moreno, V. & Bullinaria, J.A. (2011). Biasing the Evolution of Modular Neural Networks. In: Proceedings of the 2011 IEEE Congress on Evolutionary Computation (CEC 2011). Piscataway, NJ: IEEE. (pdf)

Garcia-Najera, A. & Bullinaria, J.A. (2011). An Improved Multi-Objective Evolutionary Algorithm for the Vehicle Routing Problem with Time Windows. Computers & Operations Research, 38, 287-300. (pdf)

Bullinaria, J.A. (2010). Memes in Artificial Life Simulations of Life History Evolution. In: Proceedings of Artificial Life XII Conference (Alife XII), 823-830. Cambridge, MA: MIT Press. (pdf)

Garcia-Najera, A. & Bullinaria, J.A. (2010). Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. In: R. Schaefer, C. Cotta, J. Kolodziej & G. Rudolph (Eds.), Parallel Problem Solving from Nature (PPSN XI), 51-60. Berlin: Springer. (pdf)

Rohlfshagen, P. & Bullinaria, J.A. (2010). Nature Inspired Genetic Algorithms for Hard Packing Problems. Annals of Operations Research, 179, 393-419. (pdf)

Bullinaria, J.A. (2009). Evolved Dual Weight Neural Architectures to Facilitate Incremental Learning. In: Proceedings of the International Joint Conference on Computational Intelligence (IJCCI 2009), 427-434. Portugal: INSTICC. (pdf)

Bullinaria, J.A. (2009). Lifetime Learning as a Factor in Life History Evolution. Artificial Life, 15, 389-409. (pdf)

Landassuri-Moreno, V. & Bullinaria, J.A. (2009). Feature Selection in Evolved Artificial Neural Networks using the Evolutionary Algorithm EPNet. In: Proceedings of the UK Workshop on Computational Intelligence (UKCI 2009). Nottingham, UK: University of Nottingham. (pdf)

Garcia-Najera, A. & Bullinaria, J.A. (2009). Comparison of Similarity Measures for the Multi-objective Vehicle Routing Problem with Time Windows. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2009), 579-586. New York, NY: ACM. (pdf)

Landassuri-Moreno, V. & Bullinaria, J.A. (2009). Neural Network Ensembles for Time Series Forecasting. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2009), 1235-1242. New York, NY: ACM. (pdf)

Robinson, E. & Bullinaria, J.A. (2009). Neuroevolution of Auto-Teaching Architectures. In: J. Mayor, N. Ruh & K. Plunkett, Connectionist Models of Behavior and Cognition II, 361-372. Singapore: World Scientific. (pdf)

Garcia-Najera, A. & Bullinaria, J.A. (2009). Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance. In: M. Ehrgott, C. Fonseca, X. Gandibleux, J.K. Hao & M.Sevaux (Eds), Proceedings of the Fifth International Conference on Evolutionary Multi-Criterion Optimization (EMO'09), 275-289. Berlin: Springer. (pdf)

Bullinaria, J.A. (2009). The Importance of Neurophysiological Constraints for Modelling the Emergence of Modularity. In: D. Heinke & E. Mavritsaki (Eds), Computational Modelling in Behavioural Neuroscience: Closing the Gap Between Neurophysiology and Behaviour, 187-208. Hove, UK: Psychology Press. (pdf)

Landassuri-Moreno, V. & Bullinaria, J.A. (2008). A New Approach for Incremental Modular Neural Networks in Time Series Forecasting. In: Proceedings of the UK Workshop on Computational Intelligence (UKCI 2008), 31-36. Leicester, UK: De Montfort University. (pdf)

Garcia-Najera, A. & Bullinaria, J.A. (2008). A Multi-Objective Density Restricted Genetic Algorithm for the Vehicle Routing Problem with Time Windows. In: Proceedings of the UK Workshop on Computational Intelligence (UKCI 2008), 47-52. Leicester, UK: De Montfort University. (pdf)

Rohlfshagen, P. & Bullinaria, J.A. (2008). Identification and Exploitation of Linkage by Means of Alternative Splicing. In: Y.-p. Chen & M.-H. Lim (Eds), Linkage in Evolutionary Computation, 189-223. Berlin: Springer. (pdf)

Soltoggio, A., Bullinaria, J.A., Mattiussi, C., Dürr, P. & Floreano, D. (2008). Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. In: Proceedings of Artificial Life XI Conference, 569-576. Cambridge, MA: MIT Press. (pdf)

Bullinaria, J.A. (2008). Semantic Categorization Using Simple Word Co-occurrence Statistics. In: M. Baroni, S. Evert & A. Lenci (Eds), Proceedings of the ESSLLI Workshop on Distributional Lexical Semantics, 1-8. Hamburg, Germany: ESSLLI. (pdf)

Zeidman, P. & Bullinaria, J.A. (2008). Neural Models of Head-Direction Cells. In: R.M. French & E. Thomas (Eds), From Associations to Rules: Connectionist Models of Behavior and Cognition, 165-177. Singapore: World Scientific. (pdf)

Bullinaria, J.A. (2008). Another Reason Why We Should Look After Our Children. In: R.M. French & E. Thomas (Eds), From Associations to Rules: Connectionist Models of Behavior and Cognition, 41-52. Singapore: World Scientific. (pdf)

Rohlfshagen, P. & Bullinaria, J.A. (2007). Implicit Alternative Splicing for Genetic Algorithms. In: Proceedings of the 2007 IEEE Congress on Evolutionary Computing (CEC 2007), 47-54. Piscataway, NJ: IEEE. (pdf)

Bullinaria, J.A. & Levy, J.P. (2007). Extracting Semantic Representations from Word Co-occurrence Statistics: A Computational Study. Behavior Research Methods, 39, 510-526. (pdf)

Bullinaria, J.A. (2007). Understanding the Emergence of Modularity in Neural Systems. Cognitive Science, 31, 673-695. (pdf)

Garcia-Najera, A. & Bullinaria, J.A. (2007). Extending ACOR to Solve Multi-Objective Problems. In: Proceedings of the UK Workshop on Computational Intelligence (UKCI 2007). London, UK: Imperial College. (pdf)

Bullinaria, J.A. (2007). The Effect of Learning on Life History Evolution. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007), 222-229. New York, NY: ACM. (pdf) [GECCO Best Paper Award Winner]

Rohlfshagen, P. & Bullinaria, J.A. (2007). ExGA II: An Improved Exonic Genetic Algorithm for the Multiple Knapsack Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007), 1357-1364. New York, NY: ACM. (pdf)

Rohlfshagen, P. & Bullinaria, J.A. (2007). A Genetic Algorithm with Exon Shuffling Crossover for Hard Bin Packing Problems. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007), 1365-1371. New York, NY: ACM. (pdf)

Bullinaria, J.A. & Li, X. (2007). An Introduction to Computational Intelligence Techniques for Robot Control. Industrial Robot, 34, 295-302. (pdf)

Bullinaria, J.A. (2007). Using Evolution to Improve Neural Network Learning: Pitfalls and Solutions. Neural Computing & Applications, 16, 209-226. (pdf)

Rohlfshagen, P. & Bullinaria, J.A. (2006). An Exonic Genetic Algorithm with RNA Editing Inspired Repair Function for the Multiple Knapsack Problem. In: Proceedings of the UK Workshop on Computational Intelligence (UKCI 2006), 17-24. Leeds, UK: University of Leeds. (pdf)

Bullinaria, J.A. (2006). Understanding the Advantages of Modularity in Neural Systems. In: Proceedings of the Twenty-eighth Annual Conference of the Cognitive Science Society, 119-124. Mahwah, NJ: Lawrence Erlbaum Associates. (pdf)

Bullinaria, J.A. (2006). Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2006), 9857-9864. Piscataway, NJ: IEEE. (pdf)

Rohlfshagen, P. & Bullinaria, J.A. (2006). Alternative Splicing in Evolutionary Computation: Adaptation in Dynamic Environments. In: Proceedings of the 2006 IEEE Congress on Evolutionary Computing (CEC 2006), 8041-8048. Piscataway, NJ: IEEE. (pdf)

Bullinaria, J.A. (2005). Evolved Age Dependent Plasticity Improves Neural Network Performance. In: Proceedings of the Fifth International Conference on Hybrid Intelligent Systems (HIS 2005), 79-84. Piscataway, NJ: IEEE. (pdf)

Seipone, T. & Bullinaria, J.A. (2005). Evolving Improved Incremental Learning Schemes for Neural Network Systems. In: Proceedings of the 2005 IEEE Congress on Evolutionary Computing (CEC 2005), 273-280. Piscataway, NJ: IEEE. (pdf)

Seipone, T. & Bullinaria, J.A. (2005). The Evolution of Minimal Catastrophic Forgetting in Neural Systems. In: Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society, 1991-1996. Mahwah, NJ: Lawrence Erlbaum Associates. (pdf)

Bullinaria, J.A. (2005). Evolving Neural Networks: Is it Really Worth the Effort? In: Proceedings of the European Symposium on Artificial Neural Networks, 267-272. Evere, Belgium: d-side. (pdf)

Bowers, C.P. & Bullinaria, J.A. (2005). Embryological Modelling of the Evolution of Neural Architecture. In: A. Cangelosi, G. Bugmann & R. Borisyuk (Eds), Modeling Language, Cognition and Action, 375-384. Singapore: World Scientific. (pdf)

Seipone, T. & Bullinaria, J.A. (2005). Evolving Neural Networks That Suffer Minimal Catastrophic Forgetting. In: A. Cangelosi, G. Bugmann & R. Borisyuk (Eds), Modeling Language, Cognition and Action, 385-390. Singapore: World Scientific. (pdf)

Bullinaria, J.A. (2005). Connectionist Neuropsychology. In: G. Houghton (Ed.), Connectionist Models in Cognitive Psychology, 83-111. Hove, UK: Psychology Press. (pdf, ps or ps.gz)

Yao, X., Burke, E., Lozano, J.A., Smith, J., Merelo-Guervos, J.J., Bullinaria, J.A., Rowe, J., Tino, P., Kaban, A. & Schwefel, H.-P. (Eds.) (2004). Parallel Problem Solving from Nature (PPSN VIII). Berlin: Springer. (ISBN: 3540230920)

Bullinaria, J.A. (2004). Generational versus Steady-State Evolution for Optimizing Neural Network Learning. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004), 2297-2302. Piscataway, NJ: IEEE. (pdf, ps or ps.gz)

Bullinaria, J.A. (2004). On the Evolution of Irrational Behaviour. In: H. Bowman & C. Labiouse (Eds), Connectionist Models of Cognition and Perception II: Proceedings of the Eighth Neural Computation and Psychology Workshop, 211-220. Singapore: World Scientific. (pdf, ps or ps.gz)

Bullinaria, J.A. (2003). Evolving Efficient Neural Network Classifiers. In: J.M. Rossiter & T.P. Martin (Eds), Proceedings of the UK Workshop on Computational Intelligence (UKCI 2003), 181-188. Bristol, UK: University of Bristol. (pdf, ps or ps.gz)

Sanchez-Velazco, J. & Bullinaria, J.A. (2003). Gendered Selection Strategies in Genetic Algorithms for Optimization. In: J.M. Rossiter & T.P. Martin (Eds), Proceedings of the UK Workshop on Computational Intelligence (UKCI 2003), 217-223. Bristol, UK: University of Bristol. (pdf, ps or ps.gz)

Bullinaria, J.A. (2003). Evolving Efficient Learning Algorithms for Binary Mappings. Neural Networks, 16, 793-800. (pdf, ps or ps.gz)

Bullinaria, J.A. (2003). From Biological Models to the Evolution of Robot Control Systems. Philosophical Transactions of the Royal Society of London A, 361, 2145-2164. (pdf, ps or ps.gz)

Bullinaria, J.A. (2003). Optimizing the Learning of Binary Mappings. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2003), 3207-3212. Piscataway, NJ: IEEE. (pdf, ps or ps.gz)

Sanchez-Velazco, J. & Bullinaria, J.A. (2003). Sexual Selection with Competitive/Co-Operative Operators for Genetic Algorithms. In: Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence (NCI 2003), 191-196. IASTED/ACTA Press. (pdf, ps or ps.gz)

Bullinaria, J.A. (2003). Dissociation in Connectionist Systems. Cortex, 39, 142-144. (pdf, ps or ps.gz)

Bullinaria, J.A. (2003). Lesioned Networks as Models of Neuropsychological Deficits. In: M.A. Arbib (Ed.) The Handbook of Brain Theory and Neural Networks, Second edition, 635-638. Cambridge, MA: MIT Press. (pdf, ps or ps.gz)

Bullinaria, J.A. (Ed.) (2002). Proceedings of the 2002 U.K. Workshop on Computational Intelligence: UKCI-02, Birmingham, UK: The University of Birmingham. (ISBN: 0704423685)

Bullinaria, J.A. (2002). To Modularize or Not To Modularize? In: J.A. Bullinaria (Ed.), Proceedings of the 2002 U.K. Workshop on Computational Intelligence (UKCI 2002), 3-10. Birmingham, UK: The University of Birmingham. (pdf, ps or ps.gz)

Bullinaria, J.A. (2002). Biological Style Evolution of Robot Control Systems. In: Proceedings of the EPSRC/BBSRC International Workshop on Biologically-Inspired Robotics: The Legacy of W. Grey Walter, 110-117. HP Bristol Labs, UK. (pdf, ps or ps.gz)

Bullinaria, J.A. & Lowe, W. (Eds) (2002). Connectionist Models of Cognition and Perception: Proceedings of the Seventh Neural Computation and Psychology Workshop. Singapore: World Scientific. (ISBN: 981238037X)

Bullinaria, J.A. (2002). The Evolution of Variable Learning Rates. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), 52-59. San Francisco, CA: Morgan Kaufmann. (pdf, ps or ps.gz)

Bullinaria, J.A. (2002). The Evolution of Gated Sub-Networks and Modularity in the Human Brain. In: J.A. Bullinaria & W. Lowe (Eds), Connectionist Models of Cognition and Perception: Proceedings of the Seventh Neural Computation and Psychology Workshop, 27-39. Singapore: World Scientific. (pdf, ps or ps.gz)

Bullinaria, J.A. (2001). Simulating the Evolution of Modular Neural Systems. In: Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, 146-151. Mahwah, NJ: Lawrence Erlbaum Associates. (pdf, ps or ps.gz)

Levy, J.P. & Bullinaria, J.A. (2001). Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used? In: R.M. French & J.P. Sougne (Eds), Connectionist Models of Learning, Development and Evolution: Proceedings of the Sixth Neural Computation and Psychology Workshop, 273-282. London: Springer. (pdf, ps or ps.gz)

Bullinaria, J.A. (2001). Evolving Variable Plasticity in Neural Systems. In: N. Mastorakis (Ed), Advances in Fuzzy Systems and Evolutionary Computation, 236-241. World Scientific and Engineering Society Press. (Also in: CD-ROM Proceedings of WSES 2001 International Conference on Evolutionary Computation.) (pdf, ps or ps.gz)

Bullinaria, J.A. & Riddell, P.M. (2001). Neural Network Control Systems that Learn to Perform Appropriately. International Journal of Neural Systems. 11, 79-88. (pdf, ps or ps.gz)

Bullinaria, J.A. (2001). Exploring the Baldwin Effect in Evolving Adaptable Control Systems. In: R.M. French & J.P. Sougne (Eds), Connectionist Models of Learning, Development and Evolution: Proceedings of the Sixth Neural Computation and Psychology Workshop, 231-242. London: Springer. (pdf, ps or ps.gz)

Bullinaria, J.A. & Riddell, P.M. (2000). Learning and Evolution of Control Systems. Neural Network World, 10, 535-544. (pdf, ps or ps.gz)

Bullinaria, J.A. (2000). Evolving Thoughts on Thought and its Evolution: Review of "An Anatomy of Thought: The Origin and Machinery of the Mind" by Ian Glynn, 1999, London: Weidenfeld & Nicholson. Perception, 29, 377-378. (pdf)

Bullinaria, J.A. & Riddell, P.M. (2000). Learning in Neural Network Control Systems. In: C. Fyfe (Ed), Proceedings of the Second ICSC Symposium on Engineering of Intelligent Systems, 642-648. Zurich: ICSC Academic Press.

Bullinaria, J.A. & Riddell, P.M. (2000). Regularization in Oculomotor Control. In: Proceedings of the European Symposium on Artificial Neural Networks, 207-212. Brussels: D-Facto. (pdf)

Bullinaria, J.A. (2000). Free Gifts from Connectionist Modelling. In: R. Baddeley, P. Hancock & P. Földiák (Eds), Information Theory and the Brain, 221-240. Cambridge: Cambridge University Press.

Bullinaria, J.A. & Riddell, P.M. (2000). Evolutionary Factors in the Development of Oculomotor Control. Investigative Ophthalmology and Visual Science, 41, S309.

Riddell, P.M. & Bullinaria, J.A. (1999). Incorporating Developmental Factors into Models of Accommodation and Vergence. University of Reading Technical Report. (pdf, ps or ps.gz)

Riddell, P.M., Bullinaria, J.A. & Rushton, S.K. (1999). Modelling Adaptation in the Human Oculomotor System. In: D. Heinke, G.W. Humphreys & A. Olsen (Eds), Connectionist Models in Cognitive Neuroscience, 206-217. London: Springer. (pdf)

Bullinaria, J.A., Riddell, P.M. & Rushton, S.K. (1999). Regularization in Oculomotor Adaptation. In: Proceedings of the European Symposium on Artificial Neural Networks, 159-164. Brussels: D-Facto. (pdf, ps or ps.gz)

Bullinaria, J.A. (1999). Levels of Description and Conflated Doctrines. Behavioral and Brain Sciences, 22, 832-833.

Bullinaria, J.A. (1999). Connectionist Dissociations, Confounding Factors and Modularity. In: D. Heinke, G.W. Humphreys & A. Olsen (Eds), Connectionist Models in Cognitive Neuroscience, 52-63. London: Springer. (pdf, ps or ps.gz)

Bullinaria, J.A., Riddell, P.M. & Rushton, S.K. (1999). Neural Network Modelling of the Linkages between Accommodation and Vergence. Investigative Ophthalmology and Visual Science, 40, S362.

Levy, J.P., Bullinaria, J.A. & Patel, M. (1998). Explorations in the Derivation of Semantic Representations from Word Co-occurrence Statistics. South Pacific Journal of Psychology, 10, 99-111. (pdf, ps or ps.gz)

Bullinaria, J.A. (1997). Modelling the Acquisition of Reading Skills. In: A. Sorace, C. Heycock & R. Shillcock (Eds), Proceedings of the GALA '97 Conference on Language Acquisition, 316-321. Edinburgh: HCRC. (pdf, ps or ps.gz)

Bullinaria, J.A., Glasspool, D.W. & Houghton, G. (Eds) (1997). Fourth Neural Computation and Psychology Workshop: Connectionist Representations. London: Springer. (ISBN: 3540762086)

Patel, M., Bullinaria, J.A. & Levy, J.P. (1997). Extracting Semantic Representations from Large Text Corpora. In: J.A. Bullinaria, D.W. Glasspool & G. Houghton (Eds.), Fourth Neural Computation and Psychology Workshop: Connectionist Representations, 199-212. London: Springer. (pdf, ps or ps.gz)

Bullinaria, J.A. (1997). Constraining Solution Space to Improve Generalization. Behavioral and Brain Sciences, 20, 67-68. (pdf)

Bullinaria, J.A. (1997). A Fully Connectionist Dual Route Model of Reading. In: Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society, 84. Hillsdale, NJ: Erlbaum.

Bullinaria, J.A. (1997). Analyzing the Internal Representations of Trained Neural Networks. In: A. Browne (Ed.), Neural Network Analysis, Architectures and Applications, 3-26. Bristol: Institute of Physics Publishing. (pdf)

Bullinaria, J.A. & Huckle, C.C. (1997). Modelling Lexical Decision Using Corpus Derived Semantic Representations in a Connectionist Network. In: J.A. Bullinaria, D.W. Glasspool & G. Houghton (Eds.), Fourth Neural Computation and Psychology Workshop: Connectionist Representations, 213-226. London: Springer. (pdf, ps or ps.gz)

Bullinaria, J.A. (1997). Modelling Reading, Spelling and Past Tense Learning with Artificial Neural Networks. Brain and Language, 59, 236-266.

Bullinaria, J.A. (1996). Ambiguous Data in Connectionist Language Processing Models. In: Proceedings of the Fifth International Conference on the Cognitive Science of Natural Language Processing, 56-64. Dublin, Ireland: Dublin City University. (pdf, ps or ps.gz)

Bullinaria, J.A. (1996). Connectionist Models of Reading: Incorporating Semantics. In: Proceedings of the First European Workshop on Cognitive Modelling, 224-229. Berlin: Technische Universität Berlin.

Bullinaria, J.A. & Chater, N. (1996). Double Dissociation, Modularity and Distributed Organization. Behavioral and Brain Sciences, 19, 632-632.

Bullinaria, J.A. (1995). Modelling Lexical Decision: Who Needs a Lexicon? In: J.G. Keating, Neural Computing Research and Applications III, 62-69. Maynooth, Ireland: St. Patrick’s College. (pdf, ps or ps.gz)

Levy, J.P., Bairaktaris, D., Bullinaria, J.A. & Cairns, P. (Eds) (1995). Connectionist Models of Memory and Language. London: UCL Press. (ISBN: 1857283686)

Bullinaria, J.A. & Chater, N. (1995). Connectionist Modelling: Implications for Cognitive Neuropsychology. Language and Cognitive Processes, 10, 227-264.

Bullinaria, J.A. (1995). Modelling Reaction Times. In: L.S. Smith & P.J.B. Hancock (Eds), Neural Computation and Psychology, 34-48. London: Springer. (pdf, ps or ps.gz)

Bullinaria, J.A. (1995). Neural Network Learning from Ambiguous Training Data, Connection Science, 7, 99-122.

Bullinaria, J.A. (1995). Neural Network Models of Reading: Solving the Alignment Problem Without Wickelfeatures. In: J.P. Levy, D.Bairaktaris, J.A. Bullinaria & P. Cairns (Eds), Connectionist Models of Memory and Language, 161-178. London: UCL Press.

Bullinaria, J.A. (1994). Learning the Past Tense of English Verbs: Connectionism Fights Back. Edinburgh University Technical Report. (pdf, ps or ps.gz)

Bullinaria, J.A. (1994). Internal Representations of a Connectionist Model of Reading Aloud. In: Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, 84-89. Hillsdale, NJ: Erlbaum. (pdf)

Bullinaria, J.A. (1994). Representation, Learning, Generalization and Damage in Neural Network Models of Reading Aloud. Edinburgh University Technical Report. (pdf)

Bullinaria, J.A. (1994). Connectionist Modelling of Spelling. In: Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, 78-83. Hillsdale, NJ: Erlbaum. (pdf)

Bullinaria, J.A. (1994). Noise Reduction by Multi-Target Learning. In: Proceedings of the European Symposium on Artificial Neural Networks, 193-198. Brussels: D facto. (pdf, ps or ps.gz)

Bullinaria, J.A. (1994). Simulating Non-Local Systems: Rules of the Game, Behavioral and Brain Sciences, 17, 61-62.

Bullinaria, J.A. & Chater, N. (1993). Double Dissociation in Artificial Neural Networks: Implications for Neuropsychology. In: Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society, 283-288. Hillsdale, NJ: Erlbaum.

Bullinaria, J.A. (1993). Connectionist Modelling of Reading Aloud. In: Proceedings of the Second International Conference on the Cognitive Science of Natural Language Processing, 4-11. Dublin, Ireland: Dublin City University. (pdf)

Bullinaria, J.A. (1993). Neural Network Models of Reading Multi-Syllabic Words. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 1993), 283-286. Piscataway, NJ: IEEE. (pdf)

Bullinaria, J.A. (1987). Jourjine's Space-Time Dirac-Kähler Spinors and String Model. Physical Review, D36, 1276-1287.

Bullinaria, J.A. (1986). Chiral Fermions in Kaluza-Klein Theory. Nuclear Physics, B272, 266-280.

Bullinaria, J.A. (1986). Consistency Problems for Kähler Supergravity. Physical Review, D34, 650-652.

Bullinaria, J.A. (1986). Kähler Fermions in Arbitrary Space-Times, Their Dimensional Reduction and Relation to Spinorial Fermions. Annals of Physics, 168, 301-343.

Bullinaria, J.A. (1986). Supergravity Without Spinors. Physical Review, D33, 376-382.

Bullinaria, J.A. (1985). Arbitrary Spin Fermions on the Lattice. Annals of Physics, 159, 272-327.

Bullinaria, J.A. (1984). A Kähler Formulation for Lattice Gravitinos. Classical and Quantum Gravity, 1, L17-L20.

Bullinaria, J.A. (1983). Continuum and Lattice Majorana Kähler Fermions. Physics Letters, 133B, 411-414.


This page is maintained by John Bullinaria. Last updated on 11 August 2017.