Zafeirios Fountas
Zafeirios Fountas
Emotech Ltd, University College London
Verified email at - Homepage
TitleCited byYear
A neurally controlled computer game avatar with humanlike behavior
D Gamez, Z Fountas, AK Fidjeland
IEEE Transactions on Computational Intelligence and AI in Games 5 (1), 1-14, 2012
A neuronal global workspace for human-like control of a computer game character
Z Fountas, D Gamez, AK Fidjeland
2011 IEEE Conference on Computational Intelligence and Games (CIG'11), 350-357, 2011
Spiking neural networks for human-like avatar control in a simulated environment
Z Fountas
Computing Science of Imperial College London, 2011
Activity in perceptual classification networks as a basis for human subjective time perception
W Roseboom, Z Fountas, K Nikiforou, D Bhowmik, M Shanahan, AK Seth
Nature communications 10 (1), 1-9, 2019
The role of cortical oscillations in a spiking neural network model of the basal ganglia
Z Fountas, M Shanahan
PloS one 12 (12), 2017
GPU-based fast parameter optimization for phenomenological spiking neural models
Z Fountas, M Shanahan
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia
Z Fountas, M Shanahan
2014 International Joint Conference on Neural Networks (IJCNN), 2407-2414, 2014
Time without clocks: Human time perception based on perceptual classification
W Roseboom, Z Fountas, K Nikiforou, D Bhowmik, M Shanahan, AK Seth
bioRxiv, 172387, 2018
A cognitive neural architecture as a robot controller
Z Fountas, M Shanahan
Conference on Biomimetic and Biohybrid Systems, 371-373, 2013
Perceptual content, not physiological signals, determines perceived duration when viewing dynamic, natural scenes
M Suárez-Pinilla, K Nikiforou, Z Fountas, AK Seth, W Roseboom
Collabra Psychology 5 (1), 1-16, 2019
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning
J Yamada, J Shawe-Taylor, Z Fountas
arXiv preprint arXiv:2002.03267, 2020
Multimodal Data Fusion based on the Global Workspace Theory
C Bao, Z Fountas, T Olugbade, N Bianchi-Berthouze
arXiv preprint arXiv:2001.09485, 2020
A predictive processing model of episodic memory and time perception
Z Fountas, A Sylaidi, K Nikiforou, AK Seth, M Shanahan, W Roseboom
bioRxiv, 2020
Accumulation of salient events in sensory cortex activity predicts subjective time
MT Sherman, Z Fountas, AK Seth, W Roseboom
bioRxiv, 2020
Two Ways to Change Your Mind: Effects of Intentional Strength and Motor Costs on Changes of Intention.
A Loffler, A Sylaidi, Z Fountas, P Haggard
bioRxiv, 841882, 2019
Implementation of Attentional Bistability in a Computational Model of the Dragonfly Visual System
JC Farah, C Kaplanis, C Snowden, L Milic, Z Fountas, PAM Mediano
Annual Conference on Cognitive Computational Neuroscience (CCN) 1, 2017
Assessing Selectivity in the Basal Ganglia: The" Gearbox" Hypothesis
Z Fountas, M Shanahan
bioRxiv, 197129, 2017
Action selection in the rhythmic brain: The role of the basal ganglia and tremor.
Z Fountas
Imperial College London, 2016
Clockless biologically-plausible architecture for temporal perception using convolutional neural networks
Z Fountas, K Nikiforou, D Bhowmik, M Shanahan, W Roseboom, A Seth
Job-Level Proof Number Search........ I.-C. Wu, H.-H. Lin, D.-J. Sun, K.-Y. Kao, P.-H. Lin, Y.-C. Chan, and P.-T. Chen 44 Monte Carlo Tree Search for Collaboration Control of …
D Gamez, Z Fountas, AK Fidjeland, S Kruse, A Brintrup, D McFarlane, ...
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Articles 1–20