The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. - Chris Christodoulou; Guido Bugmann; Trevor G. Clarkson; John G. Taylor (IWANN, 1993)

A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled. - Chris Christodoulou; Trevor G. Clarkson (IWANN, 1995)

Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset. - Guido Bugmann; Chris Christodoulou; John G. Taylor (Neural Comput., 1997)

Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. - Chris Christodoulou; Trevor G. Clarkson; John G. Taylor; Guido Bugmann (IJCNN (3), 2000)

Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain? - Chris Christodoulou; Guido Bugmann (Neurocomputing, 2001)

Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. - Trevor G. Clarkson; Chris Christodoulou; Yelin Guan; Denise Gorse; David A. Romano-Critchley; John G. Taylor (IEEE Trans. Syst. Man Cybern. Syst., 2001)

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

A spiking neuron model: applications and learning. - Chris Christodoulou; Guido Bugmann; Trevor G. Clarkson (Neural Networks, 2002)

Comparing different classifiers for automatic age estimation. - Andreas Lanitis; Chrisina Draganova; Chris Christodoulou (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Restoration of Partially Occluded Shapes of Faces Using Neural Networks. - Christina Draganova; Andreas Lanitis; Chris Christodoulou (CORES, 2005)

Neural networks for the identification of gas cylinder faults. - Costas Neocleous; Chris Christodoulou; Demos Demosthenous; Aristodemos Cleanthous (Artificial Intelligence and Applications, 2007)

Isolating Stock Prices Variation with Neural Networks. - Chrisina Draganova; Andreas Lanitis; Chris Christodoulou (EANN, 2009)

Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma. - Vassilis Vassiliades; Aristodemos Cleanthous; Chris Christodoulou (ICANN (1), 2009)

Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance? - Michalis Agathocleous; Georgia Christodoulou; Vasilis J. Promponas; Chris Christodoulou; Vassilis Vassiliades; Antonis Antoniou (AIAI, 2010)

Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs. - Vassilis Vassiliades; Chris Christodoulou (IJCNN, 2010)

An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings. - Ioannis Lambrou; Vassilis Vassiliades; Chris Christodoulou (EWRL, 2011)

Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals. - Maria Moustra; Marios N. Avraamides; Chris Christodoulou (Expert Syst. Appl., 2011)

Neural network methods for one-to-many multi-valued mapping problems. - Chrisina Jayne; Andreas Lanitis; Chris Christodoulou (Neural Comput. Appl., 2011)

Does High Firing Irregularity Enhance Learning? - Chris Christodoulou; Aristodemos Cleanthous (Neural Comput., 2011)

Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma. - Vassilis Vassiliades; Aristodemos Cleanthous; Chris Christodoulou (IEEE Trans. Neural Networks, 2011)

Automatic Landmark Location for Analysis of Cardiac MRI Images. - Chrisina Jayne; Andreas Lanitis; Chris Christodoulou (EANN, 2012)

One-to-many neural network mapping techniques for face image synthesis. - Chrisina Jayne; Andreas Lanitis; Chris Christodoulou (Expert Syst. Appl., 2012)

Distinguishing the Causes of Firing with the Membrane Potential Slope. - Achilleas Koutsou; Chris Christodoulou; Guido Bugmann; Jacob Kanev (Neural Comput., 2012)

A Comparative Study on Filtering Protein Secondary Structure Prediction. - Petros Kountouris; Michalis Agathocleous; Vasilis J. Promponas; Georgia Christodoulou; Simos Hadjicostas; Vassilis Vassiliades; Chris Christodoulou (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution. - Vassilis Vassiliades; Chris Christodoulou (Neural Comput., 2013)

On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron. - Achilleas Koutsou; Guido Bugmann; Chris Christodoulou (Biosyst., 2015)

Editorial. - Philippe Lucas; Jean-Pierre Rospars; Chris Christodoulou (Biosyst., 2015)

Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm. - Michalis Agathocleous; Chris Christodoulou; Vasilis J. Promponas; Petros Kountouris; Vassilis Vassiliades (ICANN (1), 2016)

Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. - Jacob Kanev; Achilleas Koutsou; Chris Christodoulou; Klaus Obermayer (Neural Comput., 2016)

Behavioral plasticity through the modulation of switch neurons. - Vassilis Vassiliades; Chris Christodoulou (Neural Networks, 2016)

Editorial. - Chris Christodoulou; Lubomir Kostal; Ansgar Büschges (Biosyst., 2017)

Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data. - Christina Zavou; Antria Kkoushi; Achilleas Koutsou; Chris Christodoulou (Biosyst., 2017)

Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification. - Antreas Dionysiou; Michalis Agathocleous; Chris Christodoulou; Vasilis J. Promponas (ICANN (2), 2018)

Editorial. - Chris Christodoulou; Lubomir Kostal; Laura Sacerdote (Biosyst., 2020)

Solving the Protein Secondary Structure Prediction Problem With the Hessian Free Optimization Algorithm. - Konstantinos Charalampous; Michalis Agathocleous; Chris Christodoulou; Vasilis J. Promponas (IEEE Access, 2022)

Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important. - Konstantinos Christou; Chris Christodoulou; Vassilis Vassiliades (GECCO Companion, 2023)

Editorial: Selected papers from the 14th international neural coding workshop, Seattle, Washington. - Chris Christodoulou; Giuseppe D'Onofrio; Michael Stiber; Alessandro E. P. Villa (Biosyst., 2023)

Accelerating Training of Convolutional Neural Networks With Hessian-Free Optimization for Detecting Alzheimer's Disease in Brain MRI. - Marios Pafitis; Maria Constantinou; Chris Christodoulou (IEEE Access, 2024)

Deconstructing emotions in self-control through computational modeling. - Andriani Nikodemou; Chris Christodoulou (Cogn. Syst. Res., 2024)