Theories of complexity. - Dominique F. Chu; Roger Strand; Ragnar Fjelland (Complex., 2003)

Spread of Vector Borne Diseases in a Population with Spatial Structure. - Dominique F. Chu; Jonathan E. Rowe (PPSN, 2004)

Chapter 4 Approaching Perfect Mixing in a Simple Model of the Spread of an Infectious Disease. - Dominique F. Chu; Jonathan E. Rowe (Recent Advances in Artificial Life, 2005)

A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA. - Dominique F. Chu; Jonathan E. Rowe (ECAL, 2005)

Evolution of DNA Uptake Signal Sequences. - Dominique F. Chu; Hoong-Chien Lee; Tom Lenaerts (Artif. Life, 2005)

Dynamical Hierarchies. - Tom Lenaerts; Dominique F. Chu; Richard Watson 005 (Artif. Life, 2005)

A Category Theoretical Argument against the Possibility of Artificial Life: Robert Rosen's Central Proof Revisited. - Dominique F. Chu; Weng Kin Ho (Artif. Life, 2006)

Evolving genetic regulatory networks for systems biology. - Dominique F. Chu (IEEE Congress on Evolutionary Computation, 2007)

The Localization Hypothesis and Machines. - Dominique F. Chu; Weng Kin Ho (Artif. Life, 2007)

Computational Realizations of Living Systems. - Dominique F. Chu; Weng Kin Ho (Artif. Life, 2007)

Crossover operators to control size growth in linear GP and variable length GAs. - Dominique F. Chu; Jonathan E. Rowe (IEEE Congress on Evolutionary Computation, 2008)

Criteria for Conceptual and Operational Notions of Complexity. - Dominique F. Chu (Artif. Life, 2008)

Evolving a dynamic predictive coding mechanism for novelty detection. - Simon J. Haggett; Dominique F. Chu; Ian W. Marshall (Knowl. Based Syst., 2008)

Group selection vs multi-level selection: Some example models using evolutionary games. - Dominique F. Chu; David J. Barnes (IEEE Congress on Evolutionary Computation, 2009)

Modes of evolution in a parasite-host interaction: Dis-entangling factors determining the evolution of regulated fimbriation in E. coli. - Dominique F. Chu (Biosyst., 2009)

Evolving novelty detectors for specific applications. - Simon J. Haggett; Dominique F. Chu (Neurocomputing, 2009)

Design Principles of Transcriptional Logic Circuits. - Nicolae Radu Zabet; Andrew N. W. Hone; Dominique F. Chu (ALIFE, 2010)

Walking, hopping and jumping: a model of transcription factor dynamics on DNA. - David J. Barnes; Dominique F. Chu (ECAL, 2011)

Optimal parameter settings for information processing in gene regulatory networks. - Dominique F. Chu; Nicolae Radu Zabet; Andrew N. W. Hone (Biosyst., 2011)

Complexity: against systems. - Dominique F. Chu (Theory Biosci., 2011)

A novel and versatile computational tool to model translation. - Dominique F. Chu; Nicolae Radu Zabet; Tobias von der Haar (Bioinform., 2012)

Replaying the tape of evolution: Evolving parameters for a simple bacterial metabolism. - Dominique F. Chu (IEEE Congress on Evolutionary Computation, 2013)

Evolving parameters for a noisy bio-system. - Dominique F. Chu (ALIFE, 2013)

Adaptive Neuromorphic Architecture (ANA). - Frank Zhigang Wang; Leon O. Chua; Xiao Yang 006; Na Helian; Ronald Tetzlaff; Torsten Schmidt; Caroline Li; José Manuel García Carrasco; Wanlong Chen; Dominique F. Chu (Neural Networks, 2013)

Evolving Biological Systems: Evolutionary Pressure to Inefficiency. - Dominique F. Chu; David J. Barnes (ALIFE, 2014)

Evolving Parameters for a Noisy Biological System - The Impact of Alternative Approaches. - David J. Barnes; Dominique F. Chu (ICAISC (2), 2014)

Amorphous computing in the presence of stochastic disturbances. - Dominique F. Chu; David J. Barnes; Samuel Perkins (Biosyst., 2014)

Charting the dynamics of translation. - Dominique F. Chu; James Thompson; Tobias von der Haar (Biosyst., 2014)

Guide to Simulation and Modeling for Biosciences, Second Edition - David J. Barnes; Dominique F. Chu (Springer, 2015)

Evolving strategies for single-celled organisms in multi-nutrient environments. - Dominique F. Chu; David J. Barnes (ECAL, 2015)

An Ansatz for a Theory of Living Systems. - Dominique F. Chu; David J. Barnes (SSCI, 2015)

Evolutionary Pressures on the Yeast Transcriptome. - Dominique F. Chu; Anton Salykin (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Minimal spiking neuron for solving multi-label classification tasks. - Jakub Fil; Dominique F. Chu (CoRR, 2020)

A thermodynamically consistent chemical spiking neuron capable of autonomous Hebbian learning. - Jakub Fil; Dominique F. Chu (CoRR, 2020)

Minimal Spiking Neuron for Solving Multilabel Classification Tasks. - Jakub Fil; Dominique F. Chu (Neural Comput., 2020)

Integrate-and-Fire Neurons for Low-Powered Pattern Recognition. - Florian Bacho; Dominique F. Chu (ICAISC (1), 2021)

Automatic Information Extraction from Electronic Documents Using Machine Learning. - Nishanthan Kamaleson; Dominique F. Chu; Fernando E. B. Otero (SGAI Conf., 2021)

Linear Constraints Learning for Spiking Neurons. - Huy Le Nguyen; Dominique F. Chu (CoRR, 2021)

Constraints on Hebbian and STDP learned weights of a spiking neuron. - Dominique F. Chu; Huy Le Nguyen (Neural Networks, 2021)

Incremental Neural Synthesis for Spiking Neural Networks. - Huy Le Nguyen; Dominique F. Chu (SSCI, 2022)

Programming molecular systems to emulate a learning spiking neuron. - Jakub Fil; Neil Dalchau; Dominique F. Chu (CoRR, 2022)

Directional Direct Feedback Alignment: Estimating Backpropagation Paths for Efficient Learning on Neural Processors. - Florian Bacho; Dominique F. Chu (CoRR, 2022)

Exact Error Backpropagation Through Spikes for Precise Training of Spiking Neural Networks. - Florian Bacho; Dominique F. Chu (CoRR, 2022)

Random Feedback Alignment Algorithms to train Neural Networks: Why do they Align? - Dominique F. Chu; Florian Bacho (CoRR, 2023)

Exploring Trade-Offs in Spiking Neural Networks. - Florian Bacho; Dominique F. Chu (Neural Comput., 2023)

Low-variance Forward Gradients using Direct Feedback Alignment and momentum. - Florian Bacho; Dominique F. Chu (Neural Networks, 2024)

Information theoretical properties of a spiking neuron trained with Hebbian and STDP learning rules. - Dominique F. Chu (Nat. Comput., 2025)