Temporal album. - Eleni Vasilaki; Jianfeng Feng; Hilary Buxton (IEEE Trans. Neural Networks, 2003)

A biologically inspired dynamic model for vision. - Eleni Vasilaki (2003)

Perceptual Learning via Modification of Cortical Top-Down Signals. - Roland Schäfer; Eleni Vasilaki; Walter Senn (PLoS Comput. Biol., 2007)

Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression. - Claudia Clopath; Lorric Ziegler; Eleni Vasilaki; Lars Büsing; Wulfram Gerstner (PLoS Comput. Biol., 2008)

Learning flexible sensori-motor mappings in a complex network. - Eleni Vasilaki; Stefano Fusi; Xiao-Jing Wang; Walter Senn (Biol. Cybern., 2009)

Stimulus sampling as an exploration mechanism for fast reinforcement learning. - Boris B. Vladimirskiy; Eleni Vasilaki; Robert Urbanczik; Walter Senn (Biol. Cybern., 2009)

Adaptive Gain Modulation in V1 Explains Contextual Modifications during Bisection Learning. - Roland Schäfer; Eleni Vasilaki; Walter Senn (PLoS Comput. Biol., 2009)

Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. - Eleni Vasilaki; Nicolas Frémaux; Robert Urbanczik; Walter Senn; Wulfram Gerstner (PLoS Comput. Biol., 2009)

How Degrading Networks Can Increase Cognitive Functions. - Adam R. Tomkins; Mark D. Humphries; Christian Beste; Eleni Vasilaki; Kevin N. Gurney (ICANN (1), 2012)

Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities. - Eleni Vasilaki; Michele Giugliano (ICANN (1), 2012)

Temporal processing with volatile memristors. - Radu Berdan; Themistoklis Prodromakis; Ali Khiat; Iulia Salaoru; Christofer Toumazou; F. Perez-Diaz; Eleni Vasilaki (ISCAS, 2013)

The Green Brain Project - Developing a Neuromimetic Robotic Honeybee. - Alex Cope; Chelsea Sabo; Esin Yavuz; Kevin N. Gurney; James A. R. Marshall; Thomas Nowotny; Eleni Vasilaki (Living Machines, 2013)

Transient and steady-state selection in the striatal microcircuit. - Adam R. Tomkins; Eleni Vasilaki; Christian Beste; Kevin N. Gurney; Mark D. Humphries (Frontiers Comput. Neurosci., 2013)

Memristors as synapse emulators in the context of event-based computation. - Alexantrou Serb; Radu Berdan; Ali Khiat; S. L. W. Li; Eleni Vasilaki; Christos Papavassiliou; Themistoklis Prodromakis (ISCAS, 2014)

Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity. - Umberto Esposito; Michele Giugliano; Eleni Vasilaki (Frontiers Comput. Neurosci., 2014)

QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays. - Mufti Mahmud; Rocco Pulizzi; Eleni Vasilaki; Michele Giugliano (Frontiers Neuroinformatics, 2014)

Modelling stock-market investors as Reinforcement Learning agents. - Alvin Pastore; Umberto Esposito; Eleni Vasilaki (EAIS, 2015)

Highly scalable parallel processing of extracellular recordings of Multielectrode Arrays. - Tiago V. Gehring; Eleni Vasilaki; Michele Giugliano (EMBC, 2015)

Emulating short-term synaptic dynamics with memristive devices. - Radu Berdan; Eleni Vasilaki; Ali Khiat; Giacomo Indiveri; Alexantrou Serb; Themistoklis Prodromakis (CoRR, 2015)

Detection of multiple and overlapping bidirectional communities within large, directed and weighted networks of neurons. - Umberto Esposito; Eleni Vasilaki (CoRR, 2015)

Emulating long-term synaptic dynamics with memristive devices. - Shari Lim Wei; Eleni Vasilaki; Ali Khiat; Iulia Salaoru; Radu Berdan; Themistoklis Prodromakis (CoRR, 2015)

Modelling Stock-market Investors as Reinforcement Learning Agents [Correction]. - Alvin Pastore; Umberto Esposito; Eleni Vasilaki (CoRR, 2016)

A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee. - Alex J. Cope; Chelsea Sabo; Kevin N. Gurney; Eleni Vasilaki; James A. R. Marshall (PLoS Comput. Biol., 2016)

An inexpensive flying robot design for embodied robotics research. - Chelsea Sabo; Esin Yavuz; Alex Cope; Kevin Gumey; Eleni Vasilaki; Thomas Nowotny; James A. R. Marshall (IJCNN, 2017)

Is Epicurus the father of Reinforcement Learning? - Eleni Vasilaki (CoRR, 2017)

A generalised framework for detailed classification of swimming paths inside the Morris Water Maze. - Avgoustinos Vouros; Tiago V. Gehring; Kinga Szydlowska; Artur Janusz; Mike Croucher; Katarzyna Lukasiuk; Witold Konopka; Carmen Sandi; Eleni Vasilaki (CoRR, 2017)

Abstract concept learning in a simple neural network inspired by the insect brain. - Alex J. Cope; Eleni Vasilaki; Dorian Minors; Chelsea Sabo; James A. R. Marshall; Andrew B. Barron (PLoS Comput. Biol., 2018)

Robots that Imagine - Can Hippocampal Replay Be Utilized for Robotic Mnemonics? - Matthew T. Whelan; Eleni Vasilaki; Tony J. Prescott (Living Machines, 2019)

Learning sparsity in reservoir computing through a novel bio-inspired algorithm. - Luca Manneschi; Andrew C. Lin; Eleni Vasilaki (CoRR, 2019)

SpaRCe: Sparse reservoir computing. - Luca Manneschi; Andrew C. Lin; Eleni Vasilaki (CoRR, 2019)

Fast Reverse Replays of Recent Spatiotemporal Trajectories in a Robotic Hippocampal Model. - Matthew T. Whelan; Tony J. Prescott; Eleni Vasilaki (Living Machines, 2020)

Memristors - From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing. - Adnan Mehonic; Abu Sebastian; Bipin Rajendran; Osvaldo Simeone; Eleni Vasilaki; Anthony J. Kenyon (Adv. Intell. Syst., 2020)

Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing. - Adnan Mehonic; Abu Sebastian; Bipin Rajendran; Osvaldo Simeone; Eleni Vasilaki; Anthony J. Kenyon (CoRR, 2020)

Exploiting Multiple Timescales in Hierarchical Echo State Networks. - Luca Manneschi; Matthew O. A. Ellis; Guido Gigante; Andrew C. Lin; Paolo Del Giudice; Eleni Vasilaki (Frontiers Appl. Math. Stat., 2020)

An alternative to backpropagation through time. - Luca Manneschi; Eleni Vasilaki (Nat. Mach. Intell., 2020)

A Robotic Model of Hippocampal Reverse Replay for Reinforcement Learning. - Matthew T. Whelan; Tony J. Prescott; Eleni Vasilaki (CoRR, 2021)

EchoVPR: Echo State Networks for Visual Place Recognition. - Anil Özdemir; Andrew B. Barron; Andrew Philippides; Michael Mangan; Eleni Vasilaki; Luca Manneschi (CoRR, 2021)

Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics. - Ian T. Vidamour; Matthew O. A. Ellis; David Griffin 002; Guru Venkat; Charles Swindells; Richard W. S. Dawidek; Thomas J. Broomhall; Nina-Juliane Steinke; Joshaniel F. K. Cooper; Francisco Maccherozzi; Sarnjeet S. Dhesi; Susan Stepney; et al. (CoRR, 2021)

An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations. - Avgoustinos Vouros; Stephen Langdell; Mike Croucher; Eleni Vasilaki (Mach. Learn., 2021)

A semi-supervised sparse K-Means algorithm. - Avgoustinos Vouros; Eleni Vasilaki (Pattern Recognit. Lett., 2021)

A perspective on physical reservoir computing with nanomagnetic devices. - Dan A. Allwood; Matthew O. A. Ellis; David Griffin 002; Thomas J. Hayward; Luca Manneschi; Mohammad F. KH Musameh; Simon O'Keefe; Susan Stepney; Charles Swindells; Martin A. Trefzer; Eleni Vasilaki; Guru Venkat; et al. (CoRR, 2022)

Signal neutrality, scalar property, and collapsing boundaries as consequences of a learned multi-timescale strategy. - Luca Manneschi; Guido Gigante; Eleni Vasilaki; Paolo Del Giudice (PLoS Comput. Biol., 2022)

EchoVPR: Echo State Networks for Visual Place Recognition. - Anil Özdemir; Mark Scerri; Andrew B. Barron; Andrew Philippides; Michael Mangan; Eleni Vasilaki; Luca Manneschi (IEEE Robotics Autom. Lett., 2022)

Modelling novelty detection in the thalamocortical loop. - Chao Han; Gwendolyn English; Hannes P. Saal; Giacomo Indiveri; Aditya Gilra; Wolfger von der Behrens; Eleni Vasilaki (PLoS Comput. Biol., 2023)

SpaRCe: Improved Learning of Reservoir Computing Systems Through Sparse Representations. - Luca Manneschi; Andrew C. Lin; Eleni Vasilaki (IEEE Trans. Neural Networks Learn. Syst., 2023)

Machine learning using magnetic stochastic synapses. - Matthew O. A. Ellis; Alex Welbourne; Stephan J. Kyle; Paul W. Fry; Dan A. Allwood; Thomas J. Hayward; Eleni Vasilaki (Neuromorph. Comput. Eng., 2023)

Editorial: Focus issue on energy-efficient neuromorphic devices, systems and algorithms. - Adnan Mehonic; Charlotte Frenkel; Eleni Vasilaki (Neuromorph. Comput. Eng., 2023)

Optimising network interactions through device agnostic models. - Luca Manneschi; Ian T. Vidamour; Kilian D. Stenning; Jack C. Gartside; Charles Swindells; Guru Venkat; David Griffin 002; Susan Stepney; Will R. Branford; Thomas J. Hayward; Matt O. Ellis; Eleni Vasilaki (CoRR, 2024)

Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs. - Chao Han; Debabrota Basu; Michael Mangan; Eleni Vasilaki; Aditya Gilra (CoRR, 2024)

In Dialogue with Intelligence: Rethinking Large Language Models as Collective Knowledge. - Eleni Vasilaki (CoRR, 2025)