Zafeirios Fountas
Zafeirios Fountas
Emotech labs & University College London
Verified email at - Homepage
Cited by
Cited by
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
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), e0189109, 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
Spiking neural networks for human-like avatar control in a simulated environment
Z Fountas
Computing Science of Imperial College London, 2011
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
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
A cognitive neural architecture as a robot controller
Z Fountas, M Shanahan
Conference on Biomimetic and Biohybrid Systems, 371-373, 2013
Deep active inference agents using Monte-Carlo methods
Z Fountas, N Sajid, PAM Mediano, K Friston
arXiv preprint arXiv:2006.04176, 2020
Building Proactive Voice Assistants: When and How (not) to Interact
O Miksik, I Munasinghe, J Asensio-Cubero, SR Bethi, ST Huang, S Zylfo, ...
arXiv preprint arXiv:2005.01322, 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
Assessing Selectivity in the Basal Ganglia: The “Gearbox” Hypothesis
Z Fountas, M Shanahan
bioRxiv, 197129, 2017
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
Accumulation of Salient Perceptual Events Predicts Subjective Time
MT Sherman, Z Fountas, AK Seth, 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
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