Zafeirios Fountas

According to our database, Zafeirios Fountas authored at least 33 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation.

Zafeirios Fountas, Adnan Oomerjee, Haitham Bou-Ammar, Jun Wang, Neil Burgess

CoRR, March, 2026

A Brain-like Synergistic Core in LLMs Drives Behaviour and Learning.

Pedro Urbina-Rodriguez, Zafeirios Fountas, Fernando E. Rosas, Jun Wang, Andrea I. Luppi, Haitham Bou-Ammar, Murray Shanahan, Pedro A. M. Mediano

CoRR, January, 2026

2025

Emergent Bayesian Behaviour and Optimal Cue Combination in LLMs.

Julian Ma, Jun Wang, Zafeirios Fountas

CoRR, December, 2025

SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning.

Hugo Hazard, Zafeirios Fountas, Martin A. Benfeghoul, Adnan Oomerjee, Jun Wang, Haitham Bou-Ammar

CoRR, November, 2025

Subjective Depth and Timescale Transformers: Learning Where and When to Compute.

Frederico Wieser, Martin Benfeghoul, Haitham Bou-Ammar, Jun Wang, Zafeirios Fountas

CoRR, November, 2025

Untangling Component Imbalance in Hybrid Linear Attention Conversion Methods.

Martin Benfeghoul, Teresa Delgado, Adnan Oomerjee, Haitham Bou-Ammar, Jun Wang, Zafeirios Fountas

CoRR, October, 2025

Bottlenecked Transformers: Periodic KV Cache Abstraction for Generalised Reasoning.

Adnan Oomerjee, Zafeirios Fountas, Zhongwei Yu, Haitham Bou-Ammar, Jun Wang

CoRR, May, 2025

Interactive Inference: A Neuromorphic Theory of Human-Computer Interaction.

Roel Vertegaal, Timothy Merritt, Saul Greenberg, Aneesh P. Tarun, Zhen Li, Zafeirios Fountas

CoRR, February, 2025

Human-inspired Episodic Memory for Infinite Context LLMs.

Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Human-like Episodic Memory for Infinite Context LLMs.

Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang

CoRR, 2024

When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination.

Martin Benfeghoul, Umais Zahid, Qinghai Guo, Zafeirios Fountas

CoRR, 2024

Sample as you Infer: Predictive Coding with Langevin Dynamics.

Umais Zahid, Qinghai Guo, Zafeirios Fountas

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation.

Umais Zahid, Qinghai Guo, Zafeirios Fountas

Neural Comput., December, 2023

Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo.

Umais Zahid, Qinghai Guo, Karl J. Friston, Zafeirios Fountas

CoRR, 2023

2022

Trial-by-trial predictions of subjective time from human brain activity.

Maxine T. Sherman, Zafeirios Fountas, Anil K. Seth, Warrick Roseboom

PLoS Comput. Biol., 2022

A Predictive Processing Model of Episodic Memory and Time Perception.

Zafeirios Fountas, Anastasia Sylaidi, Kyriacos Nikiforou, Anil K. Seth, Murray Shanahan, Warrick Roseboom

Neural Comput., 2022

Long-horizon video prediction using a dynamic latent hierarchy.

Alexey Zakharov, Qinghai Guo, Zafeirios Fountas

CoRR, 2022

Modelling non-reinforced preferences using selective attention.

Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa

CoRR, 2022

Bayesian sense of time in biological and artificial brains.

Zafeirios Fountas, Alexey Zakharov

CoRR, 2022

Variational Predictive Routing with Nested Subjective Timescales.

Alexey Zakharov, Qinghai Guo, Zafeirios Fountas

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Benefits of Adaptive Learning Transfer From Typing-Based Learning to Speech-Based Learning.

Thomas Wilschut, Florian Sense, Maarten van der Velde, Zafeirios Fountas, Sarah C. Maaß, Hedderik van Rijn

Frontiers Artif. Intell., 2021

Exploration and preference satisfaction trade-off in reward-free learning.

Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl J. Friston

CoRR, 2021

Translating a Typing-Based Adaptive Learning Model to Speech-Based L2 Vocabulary Learning.

Thomas Wilschut, Maarten van der Velde, Florian Sense, Zafeirios Fountas, Hedderik van Rijn

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

2020

Episodic Memory for Learning Subjective-Timescale Models.

Alexey Zakharov, Matthew Crosby, Zafeirios Fountas

CoRR, 2020

Building Proactive Voice Assistants: When and How (not) to Interact.

Ondrej Miksik, I. Munasinghe, J. Asensio-Cubero, S. Reddy Bethi, S.-T. Huang, S. Zylfo, Xuechen Liu, T. Nica, A. Mitrocsak, S. Mezza, Rory Beard, Ruibo Shi, Raymond W. M. Ng, Pedro A. M. Mediano, Zafeirios Fountas, S.-H. Lee, J. Medvesek, Hongbin Zhuang, Yvonne Rogers, Pawel Swietojanski

CoRR, 2020

Deep active inference agents using Monte-Carlo methods.

Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning.

Jun Yamada, John Shawe-Taylor, Zafeirios Fountas

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multimodal Data Fusion based on the Global Workspace Theory.

Cong Bao, Zafeirios Fountas, Temitayo A. Olugbade, Nadia Bianchi-Berthouze

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2015

GPU-based fast parameter optimization for phenomenological spiking neural models.

Zafeirios Fountas, Murray Shanahan

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia.

Zafeirios Fountas, Murray Shanahan

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

A Neurally Controlled Computer Game Avatar With Humanlike Behavior.

David Gamez, Zafeirios Fountas, Andreas Fidjeland

IEEE Trans. Comput. Intell. AI Games, 2013

A Cognitive Neural Architecture as a Robot Controller.

Zafeirios Fountas, Murray Shanahan

Proceedings of the Biomimetic and Biohybrid Systems, 2013

2011

A neuronal global workspace for human-like control of a computer game character.

Zafeirios Fountas, David Gamez, Andreas Fidjeland

Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011