Chris Christodoulou

Orcid: 0000-0001-9398-5256

According to our database1, Chris Christodoulou authored at least 37 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Editorial: Selected papers from the 14th international neural coding workshop, Seattle, Washington.
Biosyst., January, 2023

Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Solving the Protein Secondary Structure Prediction Problem With the Hessian Free Optimization Algorithm.
IEEE Access, 2022

2020
Editorial.
Biosyst., 2020

2018
Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data.
Biosyst., 2017

Editorial.
Biosyst., 2017

2016
Behavioral plasticity through the modulation of switch neurons.
Neural Networks, 2016

Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode.
Neural Comput., 2016

Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Editorial.
Biosyst., 2015

On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron.
Biosyst., 2015

2013
Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution.
Neural Comput., 2013

2012
A Comparative Study on Filtering Protein Secondary Structure Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Distinguishing the Causes of Firing with the Membrane Potential Slope.
Neural Comput., 2012

One-to-many neural network mapping techniques for face image synthesis.
Expert Syst. Appl., 2012

Automatic Landmark Location for Analysis of Cardiac MRI Images.
Proceedings of the Engineering Applications of Neural Networks, 2012

2011
Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma.
IEEE Trans. Neural Networks, 2011

Does High Firing Irregularity Enhance Learning?
Neural Comput., 2011

Neural network methods for one-to-many multi-valued mapping problems.
Neural Comput. Appl., 2011

Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals.
Expert Syst. Appl., 2011

An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2010
Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs.
Proceedings of the International Joint Conference on Neural Networks, 2010

Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance?
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

2009
Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma.
Proceedings of the Artificial Neural Networks, 2009

Isolating Stock Prices Variation with Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2009

2007
Neural networks for the identification of gas cylinder faults.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2005
Restoration of Partially Occluded Shapes of Faces Using Neural Networks.
Proceedings of the Computer Recognition Systems, 2005

2004
Comparing different classifiers for automatic age estimation.
IEEE Trans. Syst. Man Cybern. Part B, 2004

2002
A spiking neuron model: applications and learning.
Neural Networks, 2002

On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibition.
Neurocomputing, 2002

2001
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures.
IEEE Trans. Syst. Man Cybern. Syst., 2001

Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain?
Neurocomputing, 2001

2000
Analysis of Fluctuation-Induced Firing in the Presence of Inhibition.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1997
Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset.
Neural Comput., 1997

1995
A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled.
Proceedings of the From Natural to Artificial Neural Computation, 1995

1993
The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs.
Proceedings of the New Trends in Neural Computation, 1993


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