List of works - Stefan Schliebs

A versatile quantum-inspired evolutionary algorithm

Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network

Are probabilistic spiking neural networks suitable for reservoir computing?

Bioengineering silicon quantum dot theranostics using a network analysis of metabolomic and proteomic data in cardiac ischemia

scientific article

Constructing Robust Liquid State Machines to Process Highly Variable Data Streams

Evolving spiking neural network—a survey

Heterogeneous probabilistic models for optimisation and modelling of evolving spiking neural networks

2010 doctoral thesis by Stefan Schliebs at Auckland University of Technology

Initialization Dependence of Clustering Algorithms

Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network

Integrated feature and parameter optimization for an evolving spiking neural network: exploring heterogeneous probabilistic models

scientific article

Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling

scientific article (publication date: 2012)

On the probabilistic optimization of spiking neural networks

scientific article published on December 2010

Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO

Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling

scientific article

Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition

scholarly article by Stefan Schliebs et al published 2011 in Lecture Notes in Computer Science

SPAN: A Neuron for Precise-Time Spike Pattern Association

Span: spike pattern association neuron for learning spatio-temporal spike patterns

scientific article published on 12 July 2012

Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data

Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks

scholarly article by Stefan Schliebs et al published 2010 in Lecture Notes in Computer Science

List of works by Stefan Schliebs

A versatile quantum-inspired evolutionary algorithm

Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network

Are probabilistic spiking neural networks suitable for reservoir computing?

Bioengineering silicon quantum dot theranostics using a network analysis of metabolomic and proteomic data in cardiac ischemia

Constructing Robust Liquid State Machines to Process Highly Variable Data Streams

Evolving spiking neural network—a survey

Heterogeneous probabilistic models for optimisation and modelling of evolving spiking neural networks

Initialization Dependence of Clustering Algorithms

Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network

Integrated feature and parameter optimization for an evolving spiking neural network: exploring heterogeneous probabilistic models

Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling

On the probabilistic optimization of spiking neural networks

Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO

Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling

Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition

SPAN: A Neuron for Precise-Time Spike Pattern Association

Span: spike pattern association neuron for learning spatio-temporal spike patterns

Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data

Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks

Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing

Training spiking neural networks to associate spatio-temporal input–output spike patterns