Tjeerd Olde Scheper

Orcid: 0000-0003-1441-1444

Affiliations:
  • Oxford Brookes University, UK


According to our database1, Tjeerd Olde Scheper authored at least 17 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Criticality Analysis: Bio-Inspired Nonlinear Data Representation.
Entropy, December, 2023

2022
A Novel Criticality Analysis Technique for Detecting Dynamic Disturbances in Human Gait.
Comput., 2022

2021
K - Nearest Neighbor Algorithm: Proposed Solution for Human Gait Data Classification.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

2019
Exploration: Do We Need a Map?
Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019

2017
Dynamic Hebbian Cross-Correlation Learning Resolves the Spike Timing Dependent Plasticity Conundrum.
Frontiers Comput. Neurosci., 2017

Criticality in Biocomputation.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2015
Investigation of a chaotic spiking neuron model.
CoRR, 2015

Harmonic Versus Chaos Controlled Oscillators in Hexapedal Locomotion.
Proceedings of the Information Processing in Cells and Tissues, 2015

2008
Why metabolic systems are rarely chaotic.
Biosyst., 2008

Special edition of BioSystems: Information processing in cells and tissues.
Biosyst., 2008

2006
Nonlinear dynamics in neural computation.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2003
Self-organised dynamic recognition states for chaotic neural networks.
Inf. Sci., 2003

2002
Chaos and information in dynamic neural networks.
PhD thesis, 2002

Adaptation Based on Memory Dynamics in a Chaotic Neural Network.
Cybern. Syst., 2002

Learning in a chaotic neural network.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
A novel chaotic neural network architecture.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

1998
Chaos as a Desirable Stable State of Artificial Neural Networks.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998


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