Follow
Zafeirios Fountas
Zafeirios Fountas
Senior Research Scientist, Huawei Technologies, London
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1112020
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), 267, 2019
1052019
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
382012
A predictive processing model of episodic memory and time perception
Z Fountas, A Sylaidi, K Nikiforou, AK Seth, M Shanahan, W Roseboom
Neural Computation 34 (7), 1501-1544, 2022
362022
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
302017
Exploration and preference satisfaction trade-off in reward-free learning
N Sajid, P Tigas, A Zakharov, Z Fountas, K Friston
ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021
24*2021
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
222020
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), 55, 2019
212019
Trial-by-trial predictions of subjective time from human brain activity
MT Sherman, Z Fountas, AK Seth, W Roseboom
PLOS Computational Biology 18 (7), e1010223, 2022
19*2022
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
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
172020
Spiking neural networks for human-like avatar control in a simulated environment
Z Fountas
Computing Science of Imperial College London, 1-60, 2011
17*2011
Episodic memory for subjective-timescale models
A Zakharov, M Crosby, Z Fountas
ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021
14*2021
Benefits of adaptive learning transfer from typing-based learning to speech-based learning
T Wilschut, F Sense, M van der Velde, Z Fountas, SC Maaß, H van Rijn
Frontiers in artificial intelligence 4, 780131, 2021
132021
Variational Predictive Routing with Nested Subjective Timescales
A Zakharov, Q Guo, Z Fountas
International Conference on Learning Representations (ICLR), 2022
112022
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
112014
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
102020
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation
U Zahid, Q Guo, Z Fountas
Neural Computation 35 (12), 1881-1909, 2023
92023
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
82015
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
72021
The system can't perform the operation now. Try again later.
Articles 1–20