Bullinaria, J.A. (2024). Simulating the Effect of Environmental Change on Evolving Populations. Artificial Life, 30, 147-170. (pdf)
Bullinaria, J.A. (2022). Effect of Environmental Change Distribution on Artificial Life Simulations. Artificial Life, 28, 134-153. (pdf)
Bullinaria, J.A. (2018). Evolution of Learning Strategies in Changing Environments. Cognitive Systems Research, 52, 429-449. (pdf)
Bullinaria, J.A. (2018). Agent-Based Models of Gender Inequalities in Career Progression. Journal of Artificial Societies and Social Simulation, 21, 7. (link)
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. (2013). Neural Network Based Text to Phoneme Alignment and Mapping for Speech Technology. University of Birmingham Technical Report. (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). Evolving Neural Networks for Improved Incremental Learning Performance. University of Birmingham Technical Report. (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)
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)
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)
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)
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)
Bullinaria, J.A. (2003). Evolving Efficient Learning Algorithms for Binary Mappings. Neural Networks, 16, 793-800. (pdf)
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)
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)
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)
Bullinaria, J.A. (2003). Dissociation in Connectionist Systems. Cortex, 39, 142-144. (pdf)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Bullinaria, J.A. & Riddell, P.M. (2000). Learning and Evolution of Control Systems. Neural Network World, 10, 535-544. (pdf)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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.