Zafeirios Fountas
Zafeirios Fountas
Huawei 2012 Laboratories & University College London
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
342019
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
332012
Deep active inference agents using Monte-Carlo methods
Z Fountas, N Sajid, PAM Mediano, K Friston
Advances in Neural Information Processing Systems (NeurIPS) 33, 11662 - 11675, 2020
192020
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
192011
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
152017
Spiking neural networks for human-like avatar control in a simulated environment
Z Fountas
Computing Science of Imperial College London, 2011
13*2011
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
92015
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), 2019
62019
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
62018
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
62014
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
52020
Accumulation of salient events in sensory cortex activity predicts subjective time
MT Sherman, Z Fountas, AK Seth, W Roseboom
bioRxiv, 2020
5*2020
A predictive processing model of episodic memory and time perception
Z Fountas, A Sylaidi, K Nikiforou, AK Seth, M Shanahan, W Roseboom
bioRxiv, 2020.02. 17.953133, 2021
42021
A cognitive neural architecture as a robot controller
Z Fountas, M Shanahan
Conference on Biomimetic and Biohybrid Systems, 371-373, 2013
42013
Multimodal data fusion based on the Global Workspace Theory
C Bao, Z Fountas, T Olugbade, N Bianchi-Berthouze
Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020
32020
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning
J Yamada, J Shawe-Taylor, Z Fountas
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
32020
Episodic Memory for Subjective-Timescale Models
A Zakharov, M Crosby, Z Fountas
ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021
22021
Simulating lesion-dependent functional recovery mechanisms
N Sajid, E Holmes, TM Hope, Z Fountas, CJ Price, KJ Friston
Scientific Reports 11 (1), 1-14, 2021
22021
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
22017
Translating a Typing-Based Adaptive Learning Model to Speech-Based L2 Vocabulary Learning
T Wilschut, M van der Velde, F Sense, Z Fountas, H van Rijn
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021
12021
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Articles 1–20