Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
The computational brain
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II (videotape): the next generation
Genetic programming II (videotape): the next generation
An introduction to genetic algorithms
An introduction to genetic algorithms
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
On some conjectures of Graffiti
Discrete Mathematics
Principles of human-computer collaboration for knowledge discovery in science
Artificial Intelligence
Fitness Causes Bloat: Mutation
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Diversity in genetic programming: an analysis of measures and correlation with fitness
IEEE Transactions on Evolutionary Computation
A novel approach to design classifiers using genetic programming
IEEE Transactions on Evolutionary Computation
Evolution of Processor microcode
IEEE Transactions on Evolutionary Computation
A synthesis system for analog circuits based on evolutionary search and topological reuse
IEEE Transactions on Evolutionary Computation
Modelling rainfall-runoff using genetic programming
Mathematical and Computer Modelling: An International Journal
Genetics-based machine learning for the assessment of certain neuromuscular disorders
IEEE Transactions on Neural Networks
Pattern recognition using spiking neurons and firing rates
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
An evolutionary feature-based visual attention model applied to face recognition
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
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Cognitive neuroscience is the branch of neuroscience that studies the neural mechanisms underpinning cognition and develops theories explaining them. Within cognitive neuroscience, computational neuroscience focuses on modeling behavior, using theories expressed as computer programs. Up to now, computational theories have been formulated by neuroscientists. In this paper, we present a new approach to theory development in neuroscience: the automatic generation and testing of cognitive theories using genetic programming (GP). Our approach evolves from experimental data cognitive theories that explain "the mental program" that subjects use to solve a specific task. As an example, we have focused on a typical neuroscience experiment, the delayed-match-to-sample (DMTS) task. The main goal of our approach is to develop a tool that neuroscientists can use to develop better cognitive theories.