Janet Wiles

David Ball, Scott Heath, Janet Wiles, Gordon Wyeth, Peter Corke, Michael Milford: OpenRatSLAM: an open source brain-based SLAM system. Auton. Robots 34(3): 149-176 (2013)

Wei Luo, Marcus Gallagher, Janet Wiles: Parameter-Free Search of Time-Series Discord. J. Comput. Sci. Technol. 28(2): 300-310 (2013)

Allen Cheung, David Ball, Michael Milford, Gordon Wyeth, Janet Wiles: Maintaining a Cognitive Map in Darkness: The Need to Fuse Boundary Knowledge with Path Integration. PLoS Computational Biology 8(8) (2012)

Scott Heath, Ruth Schulz, David Ball, Janet Wiles: Long Summer Days: Grounded Learning of Words for the Uneven Cycles of Real World Events. IEEE T. Autonomous Mental Development 4(3): 192-203 (2012)

Daniel Angus, Andrew E. Smith, Janet Wiles: Human Communication as Coupled Time Series: Quantifying Multi-Participant Recurrence. IEEE Transactions on Audio, Speech & Language Processing 20(6): 1795-1807 (2012)

Daniel Angus, Andrew E. Smith, Janet Wiles: Conceptual Recurrence Plots: Revealing Patterns in Human Discourse. IEEE Trans. Vis. Comput. Graph. 18(6): 988-997 (2012)

Samuel A. Brian, Linda P. Salamanca, Jacob Whitehill, Judy Reilly, Marian Stewart Bartlett, Daniel Angus, Janet Wiles: Using recurrence plots to visualize the temporal dynamics of tutor/student interactions. ICDL-EPIROB 2012: 1-2

Linda P. Salamanca, Amber R. Carini, Monique A. Lee, Karmen Dykstra, Jacob Whitehill, Daniel Angus, Janet Wiles, Judy Reilly, Marian Stewart Bartlett: Characterizing the temporal dynamics of student-teacher discourse. ICDL-EPIROB 2012: 1-2

Janet Wiles, Scott Heath, David Ball, Laleh Quinn, Andrea Chiba: Rat meets iRat. ICDL-EPIROB 2012: 1-2

Scott Heath, Ruth Schulz, David Ball, Janet Wiles: Lingodroids: Learning terms for time. ICRA 2012: 1862-1867

Paul W. Wright, Janet Wiles: Learning transmission delays in spiking neural networks: A novel approach to sequence learning based on spike delay variance. IJCNN 2012: 1-8

Balavelan Thanigaivelan, Janet Wiles, Tara Julia Hamilton: A low power neural recording amplifier with programmable gain and bandwidth. ISCAS 2012: 2219-2222

Nicholas Geard, Seth Bullock, Rolf Lohaus, Ricardo B. R. Azevedo, Janet Wiles: Developmental motifs reveal complex structure in cell lineages. Complexity 16(4): 48-57 (2011)

Ruth Schulz, Gordon Wyeth, Janet Wiles: Are We There Yet? Grounding Temporal Concepts in Shared Journeys. IEEE T. Autonomous Mental Development 3(2): 163-175 (2011)

Ruth Schulz, Arren J. Glover, Michael Milford, Gordon Wyeth, Janet Wiles: Lingodroids: Studies in spatial cognition and language. ICRA 2011: 178-183

Peter Stratton, Gordon Wyeth, Janet Wiles: Calibration of the head direction network: a role for symmetric angular head velocity cells. Journal of Computational Neuroscience 28(3): 527-538 (2010)

Peter Stratton, Janet Wiles: Self-sustained non-periodic activity in networks of spiking neurons: The contribution of local and long-range connections and dynamic synapses. NeuroImage 52(3): 1070-1079 (2010)

Michael Milford, Janet Wiles, Gordon Fraser Wyeth: Solving Navigational Uncertainty Using Grid Cells on Robots. PLoS Computational Biology 6(11) (2010)

Peter Stratton, Janet Wiles: Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activity. ICONIP (1) 2010: 41-48

Paul Stockwell, Robert M. Colomb, Andrew E. Smith, Janet Wiles: Use of an automatic content analysis tool: A technique for seeing both local and global scope. Int. J. Hum.-Comput. Stud. 67(5): 424-436 (2009)

Paul Stockwell, Andrew E. Smith, Janet Wiles: Displaying a Framework in a Concept Map Using Network Graph Techniques. IV 2009: 661-666

Nicholas Geard, Janet Wiles: LinMap: Visualizing Complexity Gradients in Evolutionary Landscapes. Artificial Life 14(3): 277-297 (2008)

James Watson, Jim Hanan, Janet Wiles: Modeling the fitness of plant morphologies across three levels of complexity. Biosystems 94(1-2): 182-190 (2008)

Michael Milford, Ruth Schulz, David Prasser, Gordon Wyeth, Janet Wiles: Learning spatial concepts from RatSLAM representations. Robotics and Autonomous Systems 55(5): 403-410 (2007)

Nicholas Geard, Janet Wiles: Directed Evolution of an Artificial Cell Lineage. ACAL 2007: 144-155

Peter Stratton, Janet Wiles: Comparing Kurtosis Score to Traditional Statistical Metrics for Characterizing the Structure in Neural Ensemble Activity. Summer School on Neural Networks 2007: 115-122

Marcus Randall, Hussein A. Abbass, Janet Wiles (Eds.): Progress in Artificial Life, Third Australian Conference, ACAL 2007, Gold Coast, Australia, December 4-6, 2007, Proceedings. Lecture Notes in Computer Science 4828, Springer 2007, isbn 978-3-540-76930-9

Janet Wiles, Bradley Tonkes: Hyperspace Geography: Visualizing Fitness Landscapes beyond 4D. Artificial Life 12(2): 211-216 (2006)

Janet Wiles, James Watson, Bradley Tonkes, Terrence W. Deacon: Transient Phenomena in Learning and Evolution: Genetic Assimilation and Genetic Redistribution. Artificial Life 11(1-2): 177-188 (2005)

Nicholas Geard, Janet Wiles: A Gene Network Model for Developing Cell Lineages. Artificial Life 11(3): 249-267 (2005)

Janet Wiles, Nicholas Geard, James Watson, Kai Willadsen, John Mattick, Daniel Bradley, Jennifer Hallinan: There's more to a model than code: understanding and formalizing in silico modeling experience. GECCO Workshops 2005: 281-288

Benjamin Skellett, Benjamin Cairns, Nicholas Geard, Bradley Tonkes, Janet Wiles: Maximally rugged NK landscapes contain the highest peaks. GECCO 2005: 579-584

Penelope Sweetser, Janet Wiles: Combining Influence Maps and Cellular Automata for Reactive Game Agents. IDEAL 2005: 524-531

Janet Wiles, James Watson: Patterns in Complex Systems Modeling. IDEAL 2005: 532-539

Daniel Johnson, John A. Gardner, Janet Wiles: Experience as a moderator of the media equation: the impact of flattery and praise. Int. J. Hum.-Comput. Stud. 61(3): 237-258 (2004)

Jennifer Hallinan, Janet Wiles: Evolving Genetic Regulatory Networks Using an Artificial Genome. APBC 2004: 291-296

Janet Wiles, Bradley Tonkes: Mapping the Royal Road and other Hierarchical Functions. Evolutionary Computation 11(2): 129-149 (2003)

Kai Willadsen, Janet Wiles: Dynamics of gene expression in an artificial genome. IEEE Congress on Evolutionary Computation (1) 2003: 185-190

Nicholas Geard, Janet Wiles: Structure and dynamics of a gene network model incorporating small RNAs. IEEE Congress on Evolutionary Computation (1) 2003: 199-206

Penelope Sweetser, Daniel Johnson, Jane Sweetser, Janet Wiles: Creating engaging artificial characters for games. ICEC 2003

Mikael Bodén, Janet Wiles: On learning context-free and context-sensitive languages. IEEE Transactions on Neural Networks 13(2): 491-493 (2002)

Daniel Johnson, John A. Gardner, Janet Wiles, Penelope Sweetser, Kelly Hollingsworth: The inherent appeal of physically controlled peripherals. IWEC 2002: 371-378

Janet Wiles, Jennifer Hallinan: Guest editorial - evolutionary computation and cognitive science: modeling evolution and evolving models. IEEE Trans. Evolutionary Computation 5(2): 89-92 (2001)

Daniel Johnson, Janet Wiles: Computer Games With Intelligence. FUZZ-IEEE 2001: 1355-1358

Mikael Bodén, Janet Wiles: Context-free and context-sensitive dynamics in recurrent neural networks. Connect. Sci. 12(3-4): 197-210 (2000)

Bradley Tonkes, Alan D. Blair, Janet Wiles: Evolving Learnable Languages. NIPS 1999: 66-72

Bradley Tonkes, Alan D. Blair, Janet Wiles: A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards? SEAL 1998: 357-364

Hanna Majewski, Janet Wiles: Adding Phase to Recurrent Backpropagation Networks: An Application to Binding Tasks in Vision. IWANN 1997: 668-677

Paul Rodriguez, Janet Wiles: Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting. NIPS 1997

Catherine Stevens, Janet Wiles: Tonal Music as a Componential Code: Learning Temporal Relationships between and within Pitch and Timing Components. NIPS 1993: 1085-1092

Janet Wiles, Mark Ollila: Intersecting Regions: The Key to Combinatorial Structure in Hidden Unit Space. NIPS 1992: 27-33

Janet Wiles, Anthony Bloesch: Operators and Curried Functions: Training and Analysis of Simple Recurrent Networks. NIPS 1991: 325-332

Janet Wiles, Michael S. Humphreys, John D. Bain, Simon Dennis: Direct Memory Access Using Two Cues. NIPS 1990: 635-641