AIMC Topic: Computer Simulation

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Unified-theory-of-reinforcement neural networks do not simulate the blocking effect.

Behavioural processes Aug 28, 2015
For the last 20 years the unified theory of reinforcement (Donahoe et al., 1993) has been used to develop computer simulations to evaluate its plausibility as an account for behavior. The unified theory of reinforcement states that operant and respon...
Data Interpretation, Statistical Reinforcement, Psychology Conditioning, Operant Reinforcement Schedule Conditioning, Classical Neural Networks, Computer Computer Simulation
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Accuracy and Efficiency in Fixed-Point Neural ODE Solvers.

Neural computation Aug 27, 2015
Simulation of neural behavior on digital architectures often requires the solution of ordinary differential equations (ODEs) at each step of the simulation. For some neural models, this is a significant computational burden, so efficiency is importan...
Computer Simulation Synapses Membrane Potentials Humans Neural Networks, Computer
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Recurrent Neural Network Approach Based on the Integral Representation of the Drazin Inverse.

Neural computation Aug 27, 2015
In this letter, we present the dynamical equation and corresponding artificial recurrent neural network for computing the Drazin inverse for arbitrary square real matrix, without any restriction on its eigenvalues. Conditions that ensure the stabilit...
Computer Simulation Humans Neural Networks, Computer
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Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification.

Computational intelligence and neuroscience Aug 27, 2015
We perform an extensive study of the performance of different classification approaches on twenty-five datasets (fourteen image datasets and eleven UCI data mining datasets). The aim is to find General-Purpose (GP) heterogeneous ensembles (requiring ...
ROC Curve Datasets as Topic Normal Distribution Pattern Recognition, Automated Humans Artificial Intelligence Algorithms Computer Simulation Learning
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Network fingerprint: a knowledge-based characterization of biomedical networks.

Scientific reports Aug 26, 2015
It can be difficult for biomedical researchers to understand complex molecular networks due to their unfamiliarity with the mathematical concepts employed. To represent molecular networks with clear meanings and familiar forms for biomedical research...
Humans Algorithms Knowledge Bases Proteome Pattern Recognition, Automated Computer Simulation Signal Transduction Animals Models, Biological Protein Interaction Mapping
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Reinforcement learning solution for HJB equation arising in constrained optimal control problem.

Neural networks : the official journal of the International Neural Network Society Aug 24, 2015
The constrained optimal control problem depends on the solution of the complicated Hamilton-Jacobi-Bellman equation (HJBE). In this paper, a data-based off-policy reinforcement learning (RL) method is proposed, which learns the solution of the HJBE a...
Computer Simulation Models, Theoretical Problem Solving Reinforcement, Psychology Nonlinear Dynamics Neural Networks, Computer Machine Learning Algorithms
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An Enhanced Differential Evolution with Elite Chaotic Local Search.

Computational intelligence and neuroscience Aug 24, 2015
Differential evolution (DE) is a simple yet efficient evolutionary algorithm for real-world engineering problems. However, its search ability should be further enhanced to obtain better solutions when DE is applied to solve complex optimization probl...
Computer Simulation Humans Nonlinear Dynamics Biological Evolution Artificial Intelligence Algorithms
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Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality.

Neural networks : the official journal of the International Neural Network Society Aug 21, 2015
A challenging problem when studying a dynamical system is to find the interdependencies among its individual components. Several algorithms have been proposed to detect directed dynamical influences between time series. Two of the most used approache...
Classification Computer Simulation Neural Networks, Computer Entropy Models, Theoretical Algorithms Causality
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A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task.

Neural networks : the official journal of the International Neural Network Society Aug 20, 2015
Recent work on decision-making field offers an account of dual-system theory for decision-making process. This theory holds that this process is conducted by two main controllers: a goal-directed system and a habitual system. In the reinforcement lea...
Obsessive-Compulsive Disorder Reinforcement, Psychology Mental Processes Decision Making Models, Statistical Adaptation, Psychological Evoked Potentials Algorithms Reaction Time Computer Simulation Humans Cognition Machine Learning
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Minimal feedback to a rhythm generator improves the robustness to slope variations of a compass biped.

Bioinspiration & biomimetics Aug 20, 2015
In recent years there has been a growing interest in the field of dynamic walking and bio-inspired robots. However, while walking and running on a flat surface have been studied extensively, walking dynamically over terrains with varying slope remain...
Robotics Gait Biomimetics Computer-Aided Design Models, Neurological Humans Spatial Navigation Leg Central Pattern Generators Computer Simulation Feedback, Physiological Biological Clocks
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