Multiple Representations in Connectionist Systems. - Anthony V. Robins (Int. J. Neural Syst., 1991)

Neural networks and models of cognition: a review. - Anthony V. Robins (ANNES, 1993)

Catastrophic forgetting in neural networks: the role of rehearsal mechanisms. - Anthony V. Robins (ANNES, 1993)

Catastrophic Forgetting, Rehearsal and Pseudorehearsal. - Anthony V. Robins (Connect. Sci., 1995)

Transfer in Cognition. - Anthony V. Robins (Connect. Sci., 1996)

Consolidation in Neural Networks and in the Sleeping Brain. - Anthony V. Robins (Connect. Sci., 1996)

Distance as a Location Parameter in a Model of Hippocampal Place Fields. - M. B. Mundy; Anthony V. Robins; D. Bilkey (ICONIP (1), 1997)

Learning and Generalisation in a Stable Network. - Anthony V. Robins; Marcus R. Frean (ICONIP (1), 1997)

Transfer in Cognition. - Anthony V. Robins (Learning to Learn, 1998)

Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks. - Anthony V. Robins; Simon McCallum (Connect. Sci., 1998)

Local Learning Algorithms for Sequential Tasks in Neural Networks. - Anthony V. Robins; Marcus R. Frean (J. Adv. Comput. Intell. Intell. Informatics, 1998)

Mechanisms for Memory Consolidation. - Simon McCallum; Anthony V. Robins (New Zealand Computer Science Research Students' Conference, 1999)

The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts. - Anthony V. Robins; Simon McCallum (Neural Networks, 1999)

Predictors of success and failure in a CS1 course. - Nathan Rountree; Janet Rountree; Anthony V. Robins (ACM SIGCSE Bull., 2002)

Learning and Teaching Programming: A Review and Discussion. - Anthony V. Robins; Janet Rountree; Nathan Rountree (Comput. Sci. Educ., 2003)

Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods. - Anthony V. Robins (Intell. Data Anal., 2004)

A robust method for distinguishing between learned and spurious attractors. - Anthony V. Robins; Simon McCallum (Neural Networks, 2004)

Interacting factors that predict success and failure in a CS1 course. - Nathan Rountree; Janet Rountree; Anthony V. Robins; Robert Hannah (ACM SIGCSE Bull., 2004)

My Program is Correct But it Doesn t Run: A Preliminary Investigation of Novice Programmers Problems. - Sandy Garner; Patricia Haden; Anthony V. Robins (ACE, 2005)

Observations of Student Competency in a CS1 Course. - Janet Rountree; Nathan Rountree; Anthony V. Robins; Robert Hannah (ACE, 2005)

Multi-institutional, multi-national studies in CSEd Research: some design considerations and trade-offs. - Sally Fincher; Raymond Lister; Tony Clear; Anthony V. Robins; Josh Tenenberg; Marian Petre (ICER, 2005)

Use of Self Organizing Maps in Technique Analysis. - Roger Bartlett; Peter Lamb; Anthony V. Robins (Computer Science in Sport - Mission and Methods, 2008)

A model of cardinality blindness in inferotemporal cortex. - Hayden Walles; Alistair Knott; Anthony V. Robins (Biol. Cybern., 2008)

Self-Organizing Maps as a Tool to Analyze Movement Variability. - Peter Lamb; Roger Bartlett; Anthony V. Robins; Gavin Kennedy (Int. J. Comput. Sci. Sport, 2008)

Learning edge momentum: a new account of outcomes in CS1. - Anthony V. Robins (Comput. Sci. Educ., 2010)

Self-Organising Maps: An Objective Method for Clustering Complex Human Movement. - Peter Lamb; Roger Bartlett; Anthony V. Robins (Int. J. Comput. Sci. Sport, 2010)

Research design: necessary bricolage. - Sally Fincher; Josh Tenenberg; Anthony V. Robins (ICER, 2011)

Computer science in NZ high schools: the first year of the new standards. - Tim Bell 001; Peter Andreae; Anthony V. Robins (SIGCSE, 2012)

The introduction of computer science to NZ high schools: an analysis of student work. - Tim Bell 001; Heidi Newton; Peter Andreae; Anthony V. Robins (WiPSCE, 2012)

A Neural Network Model of Visual Attention and Group Classification, and Its Performance in a Visual Search Task. - Hayden Walles; Anthony V. Robins; Alistair Knott (Australasian Conference on Artificial Intelligence, 2013)

The role of teachers in implementing curriculum changes. - David Thompson; Tim Bell 001; Peter Andreae; Anthony V. Robins (SIGCSE, 2013)

Elaborating on threshold concepts. - Janet Rountree; Anthony V. Robins; Nathan Rountree (Comput. Sci. Educ., 2013)

An infographic to support students' self-regulated learning. - Claudia Ott; Anthony V. Robins; Kerry Shephard (Koli Calling, 2014)

A Case Study of the Introduction of Computer Science in NZ Schools. - Tim Bell 001; Peter Andreae; Anthony V. Robins (ACM Trans. Comput. Educ., 2014)

Illustrating performance indicators and course characteristics to support students' self-regulated learning in CS1. - Claudia Ott; Anthony V. Robins; Patricia Haden; Kerry Shephard (Comput. Sci. Educ., 2015)

The ongoing challenges of computer science education research. - Anthony V. Robins (Comput. Sci. Educ., 2015)

Translating Principles of Effective Feedback for Students into the CS1 Context. - Claudia Ott; Anthony V. Robins; Kerry Shephard (ACM Trans. Comput. Educ., 2016)

Mastery Learning in Introductory Programming. - Brendan McCane; Claudia Ott; Nick Meek; Anthony V. Robins (ACE, 2017)

Improving Spatial Context in CNNs for Semantic Medical Image Segmentation. - Russel Mesbah; Brendan McCane; Steven Mills; Anthony V. Robins (ACPR, 2017)

Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors. - Chris Gorman; Anthony V. Robins; Alistair Knott (Neural Networks, 2017)

Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. - Craig Atkinson; Brendan McCane; Lech Szymanski; Anthony V. Robins (CoRR, 2018)

A Convolutional Self-organizing Map for Visual Category Learning. - Chris Gorman; Lech Szymanski; Anthony V. Robins; Alistair Knott (CogSci, 2019)

Special Session: The Best Papers from the First Five ICERs. - Robert McCartney; Anthony V. Robins (ICER, 2019)

GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. - Craig Atkinson; Brendan McCane; Lech Szymanski; Anthony V. Robins (CoRR, 2019)

ICER 2019 preview. - Robert McCartney; Andrew Petersen 001; Anthony V. Robins; Adon Moskal (ACM SIGCSE Bull., 2019)

The Cambridge Handbook of Computing Education Research Summarized in 75 minutes. - Colleen M. Lewis; Tim Bell 001; Paulo Blikstein; Adam S. Carter; Katrina Falkner; Sally A. Fincher; Kathi Fisler; Mark Guzdial; Patricia Haden; Sepehr Hejazi Moghadam; Michael S. Horn; Christopher D. Hundhausen; et al. (SIGCSE, 2020)

ICER 2020 retrospective. - Adon Moskal; Anthony V. Robins; Amy J. Ko; Renée A. McCauley (ACM SIGCSE Bull., 2020)

ICER 2020 conference preview. - Adon Moskal; Anthony V. Robins; Renée McCauley; Amy J. Ko (ACM SIGCSE Bull., 2020)

ICER 2020 preview. - Adon Moskal; Anthony V. Robins; Renée A. McCauley; Amy J. Ko (ACM SIGCSE Bull., 2020)

Teachers' understanding of technical terms in a Computational Thinking curriculum. - Bhagya Munasinghe; Tim Bell 001; Anthony V. Robins (ACE, 2021)

Students' Perspectives on High School CS Education in NZ. - Chamindi K. Samarasekara; Claudia Ott; Anthony V. Robins (ITiCSE (2), 2021)

A Decade of CS Education in New Zealand's High Schools: Where Are We At? - Chamindi K. Samarasekara; Claudia Ott; Anthony V. Robins (WiPSCE, 2021)

Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. - Craig Atkinson; Brendan McCane; Lech Szymanski; Anthony V. Robins (Neurocomputing, 2021)

Modelling supra-classical logic in a Boltzmann neural network: I representation. - Glenn Blanchette; Anthony V. Robins; Willem Labuschagne (J. Log. Comput., 2021)

Teachers' Views on the Implementation of a New High School Computing Curriculum. - Chamindi K. Samarasekara; Claudia Ott; Anthony V. Robins (Koli Calling, 2022)

Barriers to New Zealand High School CS Education - Learners' Perspectives. - Chamindi K. Samarasekara; Claudia Ott; Anthony V. Robins (SIGCSE (1), 2022)

Dual Process Theories: Computing Cognition in Context. - Anthony V. Robins (ACM Trans. Comput. Educ., 2022)

Future Scenarios for High School Digital Technology in New Zealand. - Chamindi K. Samarasekara; Claudia Ott; Anthony V. Robins (ACE, 2023)

Computational Thinking and Notional Machines: The Missing Link. - Bhagya Munasinghe; Timothy C. Bell; Anthony V. Robins (ACM Trans. Comput. Educ., 2023)

Improved Robustness and Hyperparameter Selection in Modern Hopfield Networks. - Hayden McAlister; Anthony V. Robins; Lech Szymanski (CoRR, 2024)

Sequential Learning in the Dense Associative Memory. - Hayden McAlister; Anthony V. Robins; Lech Szymanski (CoRR, 2024)

Modelling Supra-Classical Logic in a Boltzmann Neural Network: II Incongruence. - Glenn Blanchette; Anthony V. Robins (J. Log. Comput., 2024)

Modelling supra-classical logic in a Boltzmann neural network: III adaptation. - Glenn Blanchette; Anthony V. Robins (J. Log. Comput., 2024)

Prototype Analysis in Hopfield Networks With Hebbian Learning. - Hayden McAlister; Anthony V. Robins; Lech Szymanski (Neural Comput., 2024)

A framework identifying challenges & solutions for high school computing. - Chamindi K. Samarasekara; Claudia Ott; Anthony V. Robins (Educ. Inf. Technol., 2024)

Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability. - Hayden McAlister; Anthony V. Robins; Lech Szymanski (CoRR, 2025)