Chris Christodoulou

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 10

Top Topics

Forward And Backward

Neuronal Networks

Synaptic Plasticity

Dagstuhl Castle

Top Venues

Publications

Konstantinos Christou, Chris Christodoulou, Vassilis Vassiliades
Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important. GECCO Companion (2023)
Chris Christodoulou, Giuseppe D'Onofrio, Michael Stiber, Alessandro E. P. Villa
Editorial: Selected papers from the 14th international neural coding workshop, Seattle, Washington. Biosyst. 223 (2023)
Konstantinos Charalampous, Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas
Solving the Protein Secondary Structure Prediction Problem With the Hessian Free Optimization Algorithm. IEEE Access 10 (2022)
Chris Christodoulou, Lubomir Kostal, Laura Sacerdote
Editorial. Biosyst. 187 (2020)
Antreas Dionysiou, Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas
Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification. ICANN (2) (2018)
Christina Zavou, Antria Kkoushi, Achilleas Koutsou, Chris Christodoulou
Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data. Biosyst. 161 (2017)
Chris Christodoulou, Lubomir Kostal, Ansgar Büschges
Editorial. Biosyst. 161 (2017)
Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas, Petros Kountouris, Vassilis Vassiliades
Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm. ICANN (1) (2016)
Jacob Kanev, Achilleas Koutsou, Chris Christodoulou, Klaus Obermayer
Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. Neural Comput. 28 (10) (2016)
Vassilis Vassiliades, Chris Christodoulou
Behavioral plasticity through the modulation of switch neurons. Neural Networks 74 (2016)
Achilleas Koutsou, Guido Bugmann, Chris Christodoulou
On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron. Biosyst. 136 (2015)
Philippe Lucas, Jean-Pierre Rospars, Chris Christodoulou
Editorial. Biosyst. 136 (2015)
Vassilis Vassiliades, Chris Christodoulou
Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution. Neural Comput. 25 (11) (2013)
Chrisina Jayne, Andreas Lanitis, Chris Christodoulou
One-to-many neural network mapping techniques for face image synthesis. Expert Syst. Appl. 39 (10) (2012)
Achilleas Koutsou, Chris Christodoulou, Guido Bugmann, Jacob Kanev
Distinguishing the Causes of Firing with the Membrane Potential Slope. Neural Comput. 24 (9) (2012)
Petros Kountouris, Michalis Agathocleous, Vasilis J. Promponas, Georgia Christodoulou, Simos Hadjicostas, Vassilis Vassiliades, Chris Christodoulou
A Comparative Study on Filtering Protein Secondary Structure Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (3) (2012)
Chrisina Jayne, Andreas Lanitis, Chris Christodoulou
Automatic Landmark Location for Analysis of Cardiac MRI Images. EANN (2012)
Chrisina Jayne, Andreas Lanitis, Chris Christodoulou
Neural network methods for one-to-many multi-valued mapping problems. Neural Comput. Appl. 20 (6) (2011)
Ioannis Lambrou, Vassilis Vassiliades, Chris Christodoulou
An Extension of a Hierarchical Reinforcement Learning Algorithm for Multiagent Settings. EWRL (2011)
Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou
Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma. IEEE Trans. Neural Networks 22 (4) (2011)
Maria Moustra, Marios N. Avraamides, Chris Christodoulou
Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals. Expert Syst. Appl. 38 (12) (2011)
Chris Christodoulou, Aristodemos Cleanthous
Does High Firing Irregularity Enhance Learning? Neural Comput. 23 (3) (2011)
Vassilis Vassiliades, Chris Christodoulou
Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs. IJCNN (2010)
Michalis Agathocleous, Georgia Christodoulou, Vasilis J. Promponas, Chris Christodoulou, Vassilis Vassiliades, Antonis Antoniou
Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance? AIAI (2010)
Chrisina Draganova, Andreas Lanitis, Chris Christodoulou
Isolating Stock Prices Variation with Neural Networks. EANN (2009)
Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou
Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma. ICANN (1) (2009)
Costas Neocleous, Chris Christodoulou, D. Demosthenous, Aristodemos Cleanthous
Neural networks for the identification of gas cylinder faults. Artificial Intelligence and Applications (2007)
Christina Draganova, Andreas Lanitis, Chris Christodoulou
Restoration of Partially Occluded Shapes of Faces Using Neural Networks. CORES (2005)
Andreas Lanitis, Chrisina Draganova, Chris Christodoulou
Comparing different classifiers for automatic age estimation. IEEE Trans. Syst. Man Cybern. Part B 34 (1) (2004)
Chris Christodoulou
On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibition. Neurocomputing (2002)
Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson
A spiking neuron model: applications and learning. Neural Networks 15 (7) (2002)
Chris Christodoulou, Guido Bugmann
Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain? Neurocomputing (2001)
Trevor G. Clarkson, Chris Christodoulou, Yelin Guan, Denise Gorse, David A. Romano-Critchley, John G. Taylor
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. IEEE Trans. Syst. Man Cybern. Syst. 31 (1) (2001)
Chris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann
Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. IJCNN (3) (2000)
Guido Bugmann, Chris Christodoulou, John G. Taylor
Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset. Neural Comput. 9 (5) (1997)
Chris Christodoulou, Trevor G. Clarkson
A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled. IWANN (1995)
Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor
The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. IWANN (1993)