My background is in psychology and linguistics at the University of Canterbury (NZ), and cognitive science at the University of Sussex (UK). I joined the department as a lecturer in artificial intelligence in August 1989. My main areas of research are neural networks and computer science education.
I am interested in neural networks as a tool for modeling cognition, with a particular focus on modeling aspects of memory and forgetting. Much of my research has explored the problem known as "catastrophic forgetting", and whether the "pseudorehearsal" solution that I propose has anything to do with dreams (the consolidation of learning during sleep). I am part of the artificial intelligence group, which includes such topics such as defeasible reasoning.
My second main research focus is computer science education, particularly the teaching and learning of a first programming language. Introductory "CS1" programming courses typically have very rates of both failing and of excellent grades (with fewer "mid-range" grades than usual). I think that we can make sense of this apparent paradox in terms of the mechanisms of learning and the unusually dense / interconnected nature of programming language constructs. I have been involved in two international studies of novice programmers, the Scaffolding and BRACE projects.
I teach and coordinate COMP160, the Department's introductory programming paper (Java), and COSC420 Neural Networks. In 2012 I was awarded an Ako Aotearoa Tertiary Teaching Excellence Award. I love teaching at all levels, and have been involved with many robotics projects for local high schools, including helping to run the annual RoboCup Junior Otago competition.
Selected Publications
Robins, A. V. (2019) Novice programmers and introductory programming. In S. A. Fincher & A. V. Robins (Eds.) The Cambridge Handbook of Computing Education Research. Cambridge, UK: Cambridge University Press, 327 - 376
Blanchette, G., & Robins, A. (2024). Modelling supra-classical logic in a Boltzmann neural network: II incongruence. Journal of Logic & Computation, 34(1). doi: 10.1093/logcom/exac104
Journal - Research Article
Munasinghe, B., Bell, T., & Robins, A. (2023). Computational thinking and notional machines: The missing link. ACM Transactions on Computing Education. Advance online publication. doi: 10.1145/3627829
Journal - Research Article
Samarasekara, C. K., Ott, C., & Robins, A. (2023). Future scenarios for high school digital technology in New Zealand. Proceedings of the 25th Australasian Computing Education (ACE) Conference. (pp. 21-30). New York, NY: ACM. doi: 10.1145/3576123.3576126
Conference Contribution - Published proceedings: Full paper
Robins, A. V. (2022). Dual Process Theories: Computing cognition in context. ACM Transactions on Computing Education, 22(4), 41. doi: 10.1145/3487055
Journal - Research Article
Samarasekara, C. K., Ott, C., & Robins, A. (2022). Teachers’ Views on the Implementation of a New High School Computing Curriculum. In I. Jormanainen & A. Petersen (Eds.), Proceedings of the 22nd Koli Calling Conference on Computing Education Research. New York, NY: Association for Computer Machinery. doi: 10.1145/3564721.3564732
Conference Contribution - Published proceedings: Full paper
Jedlicka, P., Tomko, M., Robins, A., & Abraham, W. C. (2022). Contributions by metaplasticity to solving the Catastrophic Forgetting Problem. Trends in Neurosciences, 45(9), 656-666. doi: 10.1016/j.tins.2022.06.002
Journal - Research Other
Samarasekara, C. K., Ott, C., & Robins, A. (2022). Barriers to New Zealand high school CS education: Learners' perspectives. Proceedings of the 53rd Annual SIGCSE Technical Symposium on Computer Science Education. (pp. 927-933). New York, NY: ACM. doi: 10.1145/3478431.3499344
Conference Contribution - Published proceedings: Full paper
Samarasekara, C. K., Ott, C., & Robins, A. (2021). A decade of CS education in New Zealand’s high schools: Where are we at? Proceedings of the 16th Workshop in Primary and Secondary Computing Education (WiPSCE). New York, NY: Association for Computing Machinery. doi: 10.1145/3481312.3481321
Conference Contribution - Published proceedings: Full paper
Samarasekara, C. K., Ott, C., & Robins, A. (2021). Students' perspectives on high school CS education in NZ. Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) (Vol. 2). (pp. 646). New York, NY: ACM. doi: 10.1145/3456565.3460070
Conference Contribution - Published proceedings: Full paper
Munasinghe, B., Bell, T., & Robins, A. (2021). Teachers' understanding of technical terms in a Computational Thinking curriculum. Proceedings of the 23rd Australasian Computing Education Conference (ACE). (pp. 106-114). New York, NY: ACM. doi: 10.1145/3441636.3442311
Conference Contribution - Published proceedings: Full paper
Atkinson, C., McCane, B., Szymanski, L., & Robins, A. (2021). Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing, 428, 291-307. doi: 10.1016/j.neucom.2020.11.050
Journal - Research Article
Lewis, C. M., Bell, T., Blikstein, P., Carter, A. S., Falkner, K., Fincher, S. A., … Haden, P., … Robins, A., … Shephard, K., … Yadav, A. (2020). The Cambridge Handbook of Computing Education Research summarized in 75 minutes. Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE). (pp. 323-324). ACM. doi: 10.1145/3328778.3366988
Conference Contribution - Published proceedings: Full paper
Robins, A. V. (2019). Novice programmers and introductory programming. In S. A. Fincher & A. V. Robins (Eds.), The Cambridge handbook of computing education research. (pp. 327-376). Cambridge, UK: Cambridge University Press. doi: 10.1017/9781108654555
Chapter in Book - Research
Fincher, S. A., & Robins, A. V. (2019). An important and timely field. In S. A. Fincher & A. V. Robins (Eds.), The Cambridge handbook of computing education research. (pp. 1-8). Cambridge, UK: Cambridge University Press. doi: 10.1017/9781108654555
Chapter in Book - Research
Fincher, S. A., & Robins, A. V. (Eds.). (2019). The Cambridge handbook of computing education research. Cambridge, UK: Cambridge University Press. doi: 10.1017/9781108654555
Edited Book - Research
Atkinson, C., McCane, B., Szymanski, L., & Robins, A. (2018). Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. arXiv. 8p. Retrieved from https://arxiv.org/abs/1812.02464
Working Paper; Discussion Paper; Technical Report
Atkinson, C., McCane, B., Szymanski, L., & Robins, A. (2018). Pseudo-recursal: Solving the catastrophic forgetting problem in deep neural networks (v2). arXiv. Retrieved from https://arxiv.org/abs/1802.03875
Working Paper; Discussion Paper; Technical Report
Mesbah, R., McCane, B., Mills, S., & Robins, A. (2017, November). Improving spatial context in CNNs for semantic medical image segmentation. Poster session presented at the 4th Asian Conference on Pattern Recognition, Nanjing, China.
Conference Contribution - Poster Presentation (not in published proceedings)
Robins, A. (2017). Learning and teaching programming. In P. A. Laplante (Ed.), Encyclopedia of computer science and technology (Vol. 2). (2nd ed.) (pp. 551-561). Boca Raton, FL: CRC Press. [Encyclopaedia/Dictionary Entry].
Chapter in Book - Research
Gorman, C., Robins, A., & Knott, A. (2017). Hopfield networks as a model of of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors. Neural Networks, 91, 76-84. doi: 10.1016/j.neunet.2017.04.007
Journal - Research Article
McCane, B., Ott, C., Meek, N., & Robins, A. (2017). Mastery learning in introductory programming. Proceedings of the Nineteenth Australasian Computing Education (ACE) Conference. New York, NY: ACM. doi: 10.1145/3013499.3013501
Conference Contribution - Published proceedings: Full paper
Ott, C., Robins, A., & Shephard, K. (2016). Translating principles of effective feedback for students into the CS1 context. ACM Transactions on Computing Education, 16(1), 1. doi: 10.1145/2737596
Journal - Research Article
Robins, A. (2015, December). Artificial neural networks and catastrophic forgetting. Verbal presentation at the Memory Day Conference: Memory and Skill Across Time, Dunedin, New Zealand.
Conference Contribution - Verbal presentation and other Conference outputs
Robins, A. (2015). The ongoing challenges of computer science education research. Computer Science Education, 25, 115-119. doi: 10.1080/08993408.2015.1034350
Journal - Research Article
Ott, C., Robins, A., Haden, P., & Shephard, K. (2015). Illustrating performance indicators and course characteristics to support students’ self-regulated learning in CS1. Computer Science Education, 25(2), 174-198. doi: 10.1080/08993408.2015.1033129
Journal - Research Article
Walles, H., Robins, A., & Knott, A. (2014). A perceptually grounded model of the singular–plural distinction. Language & Cognition, 6(3), 327-369. doi: 10.1017/langcog.2014.9
Journal - Research Article
Ott, C., Robins, A., & Shephard, K. (2014). An infographic to support students' self-regulated learning. Proceedings of the 14th Koli Calling International Conference on Computing Education. (pp. 177-178). New York: ACM. doi: 10.1145/2674683.2674705
Conference Contribution - Published proceedings: Full paper
Bell, T., Andreae, P., & Robins, A. (2014). A case study of the introduction of computer science in NZ schools. ACM Transactions on Computing Education, 14(2), 10. doi: 10.1145/2602485
Journal - Research Article
Walles, H., Robins, A., & Knott, A. (2013). A neural network model of visual attention and object classification: Technical details [Technical Report OUCS-2013-09]. Dunedin, New Zealand: Department of Computer Science, University of Otago. 18p.
Working Paper; Discussion Paper; Technical Report
Rountree, J., Robins, A., & Rountree, N. (2013). Elaborating on threshold concepts. Computer Science Education, 23(3), 265-289. doi: 10.1080/08993408.2013.834748
Journal - Research Article
Walles, H., Robins, A., & Knott, A. (2013). A neural network model of visual attention and group classification, and its performance in a visual search task. In S. Cranefield & A. Nayak (Eds.), Advances in Artificial Intelligence: Lecture notes in artificial intelligence (Vol. 8272). (pp. 98-103). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-03680-9_11
Conference Contribution - Published proceedings: Full paper
Robins, A. (2013, September). Teaching, learning and the music of memory. University of Otago, Dunedin, New Zealand. [Inaugural Professorial Lecture].
Other Research Output
Rountree, J., Robins, A., & Rountree, N. (2013). Fashionable, appealing, illusive, and still evolving: The notion of Threshold Concepts and their place in Computer Science education. In J. McDonald, S.-K. Loke, A. McLean & M. Rajoo (Eds.), Proceedings of the Spotlight on Teaching and Learning Colloquium. (pp. 52). Dunedin, New Zealand: HEDC, University of Otago. [Abstract]
Conference Contribution - Published proceedings: Abstract
Thompson, D., Bell, T., Andreae, P., & Robins, A. (2013). The role of teachers in implementing curriculum changes. Proceedings of the 44th ACM Technical Symposium on Computer Science Education (SIGCSE). (pp. 245-250). ACM. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Bell, T., Newton, H., Andreae, P., & Robins, A. (2012). The introduction of computer science to NZ high school: An analysis of student work. Proceedings of the 7th Workshop in Primary and Secondary Computing Education (WiPSCE). (pp. 5-15). New York: ACM. doi: 10.1145/2481449.2481454
Conference Contribution - Published proceedings: Full paper
Bell, T., Andreae, P., & Robins, A. (2012). Computer Science in NZ high schools: The first year of the new standards. Proceedings of the 43rd Association for Computing Machinery (ACM) Technical Symposium on Computer Science Education (SIGCSE). (pp. 343-348). New York: ACM. doi: 10.1145/2157136.2157240
Conference Contribution - Published proceedings: Full paper
Robins, A. (2012). Learning edge momentum. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning. (pp. 1845-1848). New York: Springer. doi: 10.1007/978-1-4419-1428-6
Chapter in Book - Research
Lamb, P., Müendermann, A., Bartlett, R., & Robins, A. (2011). Artificial neural network analysis of coordination between different types of shoe orthotics. In D. Link & J. Wiemeyer (Eds.), Proceedings of the Sportinformatik trifft Sporttechnologie [Computer science meets sports Sports Technology: 8th Symposium of the dvs Sktion sports computer science in cooperation with the German Interdisciplinary Association of Sports Technology]. (pp. 70-74). Feldhaus. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Lamb, P., Bartlett, R., & Robins, A. (2011). Assessing coordination stability by means of a second SOM. In D. Link & J. Wiemeyer (Eds.), Proceedings of the Sportinformatik trifft Sporttechnologie [Computer science meets sports Sports Technology: 8th Symposium of the dvs Sktion sports computer science in cooperation with the German Interdisciplinary Association of Sports Technology]. (pp. 65-69). Feldhaus. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Dutt-Mazumder, A., Button, C., Robins, A., & Bartlett, R. (2011). Neural network modelling and dynamical system theory: Are they relevant to study the governing dynamics of association football players? Sports Medicine, 41(12), 1003-1017. doi: 10.2165/11593950-000000000-00000
Journal - Research Article
Ott, C., Robins, A., & Shephard, K. (2011). COMP160: A case for the learning edge momentum? In K. Shephard, T. Harland & A. Cohen (Eds.), Proceedings of the Spotlight on Teaching and Learning Colloquium. (pp. 46). Dunedin, New Zealand: HEDC, University of Otago. [Abstract]
Conference Contribution - Published proceedings: Abstract
Fincher, S., Tenenberg, J., & Robins, A. (2011). Research design: Necessary bricolage. Proceedings of the Seventh International Workshop on Computing Education Research (ICER). (pp. 27-32). New York: ACM. doi: 10.1145/2016911.2016919
Conference Contribution - Published proceedings: Full paper
Lamb, P. F., Müendermann, A., Bartlett, R. M., & Robins, A. (2011). Visualizing changes in lower body coordination with different types of foot orthoses using self-organizing maps (SOM). Gait & Posture, 34(4), 485-489. doi: 10.1016/j.gaitpost.2011.06.024
Journal - Research Article
Lamb, P. F., Bartlett, R. M., & Robins, A. (2011). Artificial neural networks for analyzing inter-limb coordination: The golf chip shot. Human Movement Science, 30, 1129-1143. doi: 10.1016/j.humov.2010.12.006
Journal - Research Article
Lamb, P., Bartlett, R., & Robins, A. (2010, September). Assessing coordination stability by means of a second SOM. Verbal presentation at the Tagung der dvs-Sektion Sportinformatik und der deutschen interdisziplinären Vereinigung für Sporttechnologie, Darmstadt, Germany.
Conference Contribution - Verbal presentation and other Conference outputs
Lamb, P., Bartlett, R., & Robins, A. (2010, September). Artificial neural network analysis of coordination between different types of shoe orthotics. Verbal presentation at the Tagung der dvs-Sektion Sportinformatik und der deutschen interdisziplinären Vereinigung für Sporttechnologie, Darmstadt, Germany.
Conference Contribution - Verbal presentation and other Conference outputs
Lamb, P., Bartlett, R., & Robins, A. (2010). Self-organising maps: An objective method for clustering complex human movement. In K. Lyons, A. Baca & A. Lebedew (Eds.), Proceedings of the Seventh International Symposium of the International Association of Computer Science in Sport. (pp. 104-113). University of Canberra, Australia: National Institute of Sport Studies. Retrieved from http://www.box.com/shared/2blgcmfi61
Conference Contribution - Published proceedings: Full paper
Lamb, P., Bartlett, R., & Robins, A. (2010). Self-organising maps: An objective method for clustering complex human movement. International Journal of Computer Science in Sport, 9(1), 20-29. Retrieved from http://iacss.org/index.php?id=94
Journal - Research Article
Robins, A. (2010, July). The elusive ″programmer gene″. Keynote presentation at the Computing and Information Technology Research and Education New Zealand (CITRENZ) Conference, Dunedin, New Zealand.
Conference Contribution - Verbal presentation and other Conference outputs
Atkins, C., Bull, R., Sexton, S., Shedroff, N., Robins, A., McCaw, C., … Mann, S. (2010, July). Mash up: A Pecha-Kucha inspired event. Verbal presentation at the Computing and Information Technology Research and Education New Zealand (CITRENZ) Conference, Dunedin, New Zealand.
Conference Contribution - Verbal presentation and other Conference outputs
Robins, A. (2010). Learning edge momentum: A new account of outcomes in CS1. Computer Science Education, 20(1), 37-71. doi: 10.1080/08993401003612167
Journal - Research Article
Basiron, H., Knott, A., & Robins, A. (2008, March). Corrective feedback in language learning. Verbal presentation at the International Conference on Foreign Language Teaching and Learning: Innovating Minds, Communicating Ideas: Reinventing Language Teaching and Learning, Petaling Jaya, Malaysia.
Conference Contribution - Verbal presentation and other Conference outputs
Bartlett, R., Lamb, P., & Robins, A. (2008). Use of self organizing maps in technique analysis. Dagstuhl Seminar Proceedings, 8372. Retrieved from http://drops.dagstuhl.de/opus/volltexte/2008/1773
Conference Contribution - Published proceedings: Full paper
Lamb, P., Bartlett, R., Robins, A., & Kennedy, G. (2008). Self-organizing maps as a tool to analyze movement variability. International Journal of Computer Science in Sport, 7(1), 28-39.
Journal - Research Article
Walles, H., Knott, A., & Robins, A. (2008). A model of cardinality blindness in inferotemporal cortex. Biological Cybernetics, 98(5), 427-437.
Journal - Research Article
Liddle, M., Knott, A., Franz, L., & Robins, A. (2007, November). Perceptual memory for visually tracked objects. Verbal presentation at the Psycolloquy Seminar, Dunedin, New Zealand.
Conference Contribution - Verbal presentation and other Conference outputs
Lamb, P., Bartlett, R., Robins, A., & Kennedy, G. (2007). Self-organizing maps as a tool to analyze movement variability. Proceedings of the 6th International Association on Computer Science in Sport Symposium. (pp. 76-82). [Full Paper]
Conference Contribution - Published proceedings: Full paper
Robins, A., Haden, P., & Garner, S. (2006). Problem distributions in a CS1 course. Proceedings of the 8th Australian Conference on Computing Education.52, (pp. 165-173). Darlinghurst, Australia: Australian Computer Society. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Tolhurst, D., Baker, B., Hamer, J., Box, I., Cutts, Q., de Raadt, M., … Robins, A., … Tutty, J. (2006). Do map drawing styles of novice programmers predict success in programming? A multi-national, multi-institutional study. Proceedings of the 8th Australian Conference on Computing Education.52, (pp. 213-222). Darlinghurst, Australia: Australian Computer Society. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Simon, Fincher, S., Robins, A., Baker, B., Cutts, Q., Haden, P., … Tutty, J. (2006). Predictors of success in a first programming course. Proceedings of the 8th Australian Conference on Computing Education.52, (pp. 189-196). Darlinghurst, Australia: Australian Computer Society. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Simon, Cutts, Q., Haden, P., Sutton, K., Box, I., Hamer, J., … Robins, A., … Tutty, J. (2006). The ability to articulate strategy as a predictor of programming skill. Proceedings of the 8th Australian Conference on Computing Education.52, (pp. 181-188). Darlinghurst, Australia: Australian Computer Society. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Fincher, S., Lister, R., Clear, T., Robins, A., Tenenberg, J., & Petre, M. (2005). Multi-institutional, multi-national studies in CSEd Research: Some design considerations and trade-offs. Proceedings of the First International Computing Education Research Workshop. [Full Paper]
Conference Contribution - Published proceedings: Full paper
de Raadt, M., Hamilton, M., . . ., Robins, A., & et al (2005). Approaches to learning in computer programming students and their effect on success. Proceedings of the Annual International Conference of the Higher Education Research and Development Society of Australasia. (pp. 407-414). Australia: HERDSA. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Abraham, W. C., & Robins, A. (2005). Memory retention: The synaptic stability versus plasticity dilemma. Trends in Neurosciences, 28(2), 73-78.
Journal - Research Article
Rountree, J., Rountree, N., Robins, A., & Hannah, R. (2005). Observations of student competency in a CS1 course. In A. Young & D. Tolhurst (Eds.), Proceedings of the Australasian Computing Education Conference.42, (pp. 145-149). Newcastle, Australia: Australian Computer Society. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Garner, S., Haden, P., & Robins, A. (2005). My program is correct but it doesn't run: A preliminary investigation of novice programmers' problems. In A. Young & D. Tolhurst (Eds.), Proceedings of the Seventh Australasian Computing Education Conference.42, (pp. 173-180). Newcastle, Australia: Austalian Computer Society. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Tenenberg, J., Fincher, S., Blaha, K., Bouvier, D., Chen, T.-Y., Chinn, D., … Robins, A., … VanDeGrift, T. (2005). Students designing software: A multi-national, multi-institutional study. Informatics in Education, 4(1), 143-162.
Journal - Research Article
Robins, A. V. (2005). A day in the library. Annals of Research on Engineering Education, 1. Retrieved from http://www.areeonline.org/?id=3928
Journal - Research Other
Robins, A. V., & McCallum, S. J. R. (2004). A robust method for distinguishing between learned and spurious attractors. Neural Networks, 17, 313-326.
Journal - Research Article
Robins, A. (2004). Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods. Intelligent Data Analysis, 8(3), 301-322.
Journal - Research Article
Fincher, S., . . ., Robins, A., & et al (2004). A multi-national, multi-institutional study of student-generated software designs. Proceedings of the Fourth Finnish/Baltic Sea Conference on Computer Science Education. (pp. 20-27). Finland: Helsinki University of Technology. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Rountree, N., Rountree, J., Robins, A., & Hannah, R. (2004). Interacting factors that predict success and failure in a CS1 course [Reviewed paper]. Inroads: The SIGCSE Bulletin, 36(4), 101-104.
Journal - Research Article
Abraham, W. C., & Robins, A. (2004). Does memory retention require synaptic stability or synaptic plasticity? Proceedings of the 22nd International Australasian Winter Conference on Brain Research.22. [Abstract]
Conference Contribution - Published proceedings: Abstract
Robins, A. V., Rountree, J., & Rountree, N. (2003). Learning and teaching programming: A review and discussion. Computer Science Education, 13(2), 137-172.
Journal - Research Article
Rountree, N., Rountree, J., & Robins, A. V. (2002). Predictors of success and failure in a CS1 course. Inroads: The SIGCSE Bulletin, 34(4), 121-124.
Journal - Research Article
Robins, A. V., & McCallum, S. J. R. (2001). Learned and spurious attractors in Hopfield type networks. In N. K. Kasabov & B. J. Woodford (Eds.), Proceedings of the Fifth Biannual Conference on Artificial Neural Networks and Expert Systems. (pp. 146-150). Dunedin: University of Otago. [Full Paper]
Conference Contribution - Published proceedings: Full paper
McCallum, S. J. R. J. R., & Robins, A. V. (1999). Mechanisms for memory consolidation. New Zealand Journal of Computing, 7, 13-20.
Journal - Research Article
Robins, A. V. (1999). Brain like computing is not enough. Emerging Knowledge Engineering and Connectionist-based Information Systems: Proceedings of the ICONIP / ANZIIS / ANNES'99 International Workshop. (pp. 135-138). Dunedin: Department of Information Science, University of Otago. [Abstract]
Conference Contribution - Published proceedings: Abstract
Robins, A. V., & McCallum, S. J. R. J. R. (1999). The consolidation of learning during sleep: Comparing the pseudorehearsal and unlearning accounts. Neural Networks, 12, 1191-1206.
Journal - Research Article
Frean, M. R., & Robins, A. V. (1999). Catastrophic forgetting in simple networks: An analysis of the pseudorehearsal solution. Network, 10, 227-236.
Journal - Research Article
Robins, A. V. (1998). Transfer in cognition. In S. Thrun & L. Pratt (Eds.), Learning to Learn. (pp. 45-67). Dordrecht, Germany: Kluwer Academic Publishers.
Chapter in Book - Research
Mundy, M. B., Robins, A. V., & Bilkey, D. (1998). Distance as a location parameter in a model of hippocampal place fields. In N. Kasabov, R. Kozma, K. Ko, R. O'Shea, G. Coghill & T. Gedeon (Eds.), Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems. (pp. 71-75). Singapore: Springer. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Robins, A. V., & Frean, M. R. (1998). Local learning algorithms for sequential tasks in neural networks. Advanced Computational Intelligence, 2, 221-227.
Journal - Research Article
Robins, A. V., & Frean, M. R. (1998). Learning and generalisation in a stable network. In N. Kasabov, R. Kozma, K. Ko, R. O'Shea, G. Coghill & T. Gedeon (Eds.), Progress in Connectionist-Based Information Systems: Proceedings of the 1997 Conference on Neural Information Processing and Intelligent Information Systems. (pp. 314-317). Singapore: Springer. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Frean, M. R., & Robins, A. V. (1998). Catastrophic forgetting and "pseudorehearsal" in linear networks. Proceedings of the Ninth Australian Conference on Neural Networks. (pp. 173-178). Brisbane: University of Queensland. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Robins, A. V. (1998). Solutions to the catastrophic forgetting problem. Proceedings of The Twentieth Annual Conference of the Cognitive Science Society. (pp. 899-904). New Jersey: Lawrence Earlbaum. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Robins, A. V., & McCallum, S. J. (1998). Catastrophic forgetting and the pseudorehearsal solution in Hopfield type networks. Connection Science, 10, 121-135.
Journal - Research Article
Frean, M. R., & Robins, A. V. (1998). Catastrophic forgetting and "pseudorehearsal" in linear networks. Australian Journal of Intelligent Information Processing Systems, 5, 44-49.
Journal - Research Article
Robins, A. V. (1997). Maintaining stability during new learning in neural networks. 1997 IEEE International Conference on Systems, Man, and Cybernetics: Computational Cybernetics and Simulation: Orlando, Florida, USA, October 12-15, 1997. (pp. 3013-3018). Piscataway, NJ: Institute of Electrical and Electronics Engineers. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Robins, A. V. (1997). Towards a framework for consolidation and transfer effects in neural network models. Dynamical cognitive science: Proceedings of the Fourth Australasian Cognitive Science Conference. CD-ROM. Newcastle: University of Newcastle. [Full Paper]
Conference Contribution - Published proceedings: Full paper
Robins, A. V. (1996). Consolidation in neural networks and in the sleeping brain. Connection Science, 8, 235-251.
Journal - Research Article
Robins, A. V. (1996). Transfer in cognition. Connection Science, 8, 161-179.
Journal - Research Article