Chris Christodoulou - researchr alias

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Viewing Publication 1 - 37 from 37

2023

Editorial: Selected papers from the 14th international neural coding workshop, Seattle, WashingtonChris Christodoulou, Giuseppe D'Onofrio, Michael Stiber, Alessandro E. P. Villa. biosystems, 223:104818, January 2023. [doi]

Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally importantKonstantinos Christou, Chris Christodoulou, Vassilis Vassiliades. gecco 2023: 639-642 [doi]

2022

Solving the Protein Secondary Structure Prediction Problem With the Hessian Free Optimization AlgorithmKonstantinos Charalampous, Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas. access, 10:27759-27770, 2022. [doi]

2020

EditorialChris Christodoulou, Lubomir Kostal, Laura Sacerdote. biosystems, 187, 2020. [doi]

2018

Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data ClassificationAntreas Dionysiou, Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas. icann 2018: 444-455 [doi]

2017

EditorialChris Christodoulou, Lubomir Kostal, Ansgar Büschges. biosystems, 161:1-2, 2017. [doi]

Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded dataChristina Zavou, Antria Kkoushi, Achilleas Koutsou, Chris Christodoulou. biosystems, 161:46-56, 2017. [doi]

2016

2015

On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuronAchilleas Koutsou, Guido Bugmann, Chris Christodoulou. biosystems, 136:80-89, 2015. [doi]

EditorialPhilippe Lucas, Jean-Pierre Rospars, Chris Christodoulou. biosystems, 136:1-2, 2015. [doi]

2013

Toward Nonlinear Local Reinforcement Learning Rules Through NeuroevolutionVassilis Vassiliades, Chris Christodoulou. neco, 25(11):3020-3043, 2013. [doi]

2012

2011

Does High Firing Irregularity Enhance Learning?Chris Christodoulou, Aristodemos Cleanthous. neco, 23(3):656-663, 2011. [doi]

Neural network methods for one-to-many multi-valued mapping problemsChrisina Jayne, Andreas Lanitis, Chris Christodoulou. nca, 20(6):775-785, 2011. [doi]

An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent SettingsIoannis Lambrou, Vassilis Vassiliades, Chris Christodoulou. ewrl 2012: 261-272 [doi]

Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric SignalsMaria Moustra, Marios Avraamides, Chris Christodoulou. eswa, 38(12):15032-15039, 2011. [doi]

Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner s DilemmaVassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou. tnn, 22(4):639-653, 2011. [doi]

2010

Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance?Michalis Agathocleous, Georgia Christodoulou, Vasilis Promponas, Chris Christodoulou, Vassilis Vassiliades, Antonis Antoniou. ifip12 2010: 128-137 [doi]

Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffsVassilis Vassiliades, Chris Christodoulou. ijcnn 2010: 1-8 [doi]

2009

Isolating Stock Prices Variation with Neural NetworksChrisina Draganova, Andreas Lanitis, Chris Christodoulou. eann 2009: 401-408 [doi]

Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner s DilemmaVassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou. icann 2009: 737-746 [doi]

2007

Neural networks for the identification of gas cylinder faultsCostas Neocleous, Chris Christodoulou, D. Demosthenous, A. Cleanthous. aia 2007: 38-43

2005

Restoration of Partially Occluded Shapes of Faces Using Neural NetworksChristina Draganova, Andreas Lanitis, Chris Christodoulou. cores 2005: 767-774 [doi]

2004

Comparing different classifiers for automatic age estimationAndreas Lanitis, Chrisina Draganova, Chris Christodoulou. tsmc, 34(1):621-628, 2004. [doi]

2002

A spiking neuron model: applications and learningChris Christodoulou, Guido Bugmann, Trevor G. Clarkson. NN, 15(7):891-908, 2002. [doi]

On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibitionChris Christodoulou. ijon, 44-46:81-84, 2002. [doi]

2001

Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain?Chris Christodoulou, Guido Bugmann. ijon, 38-40:1141-1149, 2001. [doi]

Speaker identification for security systems using reinforcement-trained pRAM neural network architecturesTrevor G. Clarkson, Chris Christodoulou, Yelin Guan, Denise Gorse, David A. Romano-Critchley, John G. Taylor. tsmc, 31(1):65-76, 2001. [doi]

2000

Analysis of Fluctuation-Induced Firing in the Presence of InhibitionChris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann. ijcnn 2000: 115-120 [doi]

1997

Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial ResetGuido Bugmann, Chris Christodoulou, John G. Taylor. neco, 9(5):985-1000, 1997. [doi]

1995

A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be ModelledChris Christodoulou, Trevor G. Clarkson. iwann 1995: 223-230

1993

The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory InputsChris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor. iwann 1993: 465-470

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