List of works - Chris Christodoulou

A biophysical model of endocannabinoid-mediated short term depression in hippocampal inhibition

scientific article

A biophysical model of endocannabinoid-mediated short term depression of excitation in hippocampus.

scientific article published on 8 July 2013

A comparative study on filtering protein secondary structure prediction.

scientific article published in May 2012

A spiking neuron model: applications and learning.

scientific article published on September 2002

Behavioral plasticity through the modulation of switch neurons.

scientific article published on 12 November 2015

Comparing different classifiers for automatic age estimation.

scientific article published in February 2004

Distinguishing the causes of firing with the membrane potential slope.

scientific article published on 17 May 2012

Does High Firing Irregularity Enhance Learning? ⬇️

scientific article published on December 16, 2010

Editorial

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

scientific article published on 24 August 2016

Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron?

scientific article

Learning optimisation by high firing irregularity.

scientific article published on 22 July 2011

Measuring input synchrony in the Ornstein-Uhlenbeck neuronal model through input parameter estimation.

scientific article published on 14 May 2013

Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma ⬇️

scientific article published on March 17, 2011

Near Poisson-type firing produced by concurrent excitation and inhibition

scientific article published on 01 October 2000

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

scientific article published in September 2015

Self-control with spiking and non-spiking neural networks playing games.

scientific article

Spiking Neural Networks with Different Reinforcement Learning (RL) Schemes in a Multiagent Setting

scientific article published on December 31, 2010

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

scientific article published on 15 September 2017

Toward nonlinear local reinforcement learning rules through neuroevolution.

scientific article published on 3 September 2013

List of works by Chris Christodoulou

A biophysical model of endocannabinoid-mediated short term depression in hippocampal inhibition

A biophysical model of endocannabinoid-mediated short term depression of excitation in hippocampus.

A comparative study on filtering protein secondary structure prediction.

A spiking neuron model: applications and learning.

Behavioral plasticity through the modulation of switch neurons.

Comparing different classifiers for automatic age estimation.

Distinguishing the causes of firing with the membrane potential slope.

Does High Firing Irregularity Enhance Learning? ⬇️

Editorial

Editorial

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

Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron?

Learning optimisation by high firing irregularity.

Measuring input synchrony in the Ornstein-Uhlenbeck neuronal model through input parameter estimation.

Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma ⬇️

Near Poisson-type firing produced by concurrent excitation and inhibition

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

Self-control with spiking and non-spiking neural networks playing games.

Spiking Neural Networks with Different Reinforcement Learning (RL) Schemes in a Multiagent Setting

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

Toward nonlinear local reinforcement learning rules through neuroevolution.