Eleni Vasilaki

57 papers B 1C 2Journal 46Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Nonlinear Heterogeneity in Physical Kolmogorov-Arnold Networks. CoRR Fabiana Taglietti, Andrea Pulici, Maxwell Roxburgh, Gabriele Seguini, Ian Vidamour, Stephan Menzel, Edoardo Franco, Michele Laus, Eleni Vasilaki, Michele Perego, Thomas J. Hayward, Marco Fanciulli, Jack C. Gartside
2026	J	`jnl`	Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning. CoRR Chao Han, Stefanos Ioannou, Luca Manneschi, Thomas J. Hayward, Michael Mangan, Aditya Gilra, Eleni Vasilaki
2025	J	`jnl`	In Dialogue with Intelligence: Rethinking Large Language Models as Collective Knowledge. CoRR Eleni Vasilaki
2025	J	`jnl`	Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. Chao Han, Stefanos Ioannou, Luca Manneschi, Thomas J. Hayward, Michael Mangan, Aditya Gilra, Eleni Vasilaki
2024	J	`jnl`	Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs. CoRR Chao Han, Debabrota Basu, Michael Mangan, Eleni Vasilaki, Aditya Gilra
2024	J	`jnl`	Optimising network interactions through device agnostic models. CoRR Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning, Jack C. Gartside, Charles Swindells, Guru Venkat, David Griffin, Susan Stepney, Will R. Branford, Thomas J. Hayward, Matt O. Ellis, Eleni Vasilaki
2023	J	`jnl`	Editorial: Focus issue on energy-efficient neuromorphic devices, systems and algorithms. Neuromorph. Comput. Eng. Adnan Mehonic, Charlotte Frenkel, Eleni Vasilaki
2023	J	`jnl`	Machine learning using magnetic stochastic synapses. CoRR Matthew O. A. Ellis, Alex Welbourne, Stephan J. Kyle, Paul W. Fry, Dan A. Allwood, Thomas J. Hayward, Eleni Vasilaki
2023	J	`jnl`	Machine learning using magnetic stochastic synapses. Neuromorph. Comput. Eng. Matthew O. A. Ellis, Alex Welbourne, Stephan J. Kyle, Paul W. Fry, Dan A. Allwood, Thomas J. Hayward, Eleni Vasilaki
2023	J	`jnl`	Modelling novelty detection in the thalamocortical loop. PLoS Comput. Biol. Chao Han, Gwendolyn English, Hannes P. Saal, Giacomo Indiveri, Aditya Gilra, Wolfger von der Behrens, Eleni Vasilaki
2023	J	`jnl`	SpaRCe: Improved Learning of Reservoir Computing Systems Through Sparse Representations. IEEE Trans. Neural Networks Learn. Syst. Luca Manneschi, Andrew C. Lin, Eleni Vasilaki
2022	J	`jnl`	A perspective on physical reservoir computing with nanomagnetic devices. CoRR Dan A. Allwood, Matthew O. A. Ellis, David Griffin, Thomas J. Hayward, Luca Manneschi, Mohammad F. KH Musameh, Simon O'Keefe, Susan Stepney, Charles Swindells, Martin A. Trefzer, Eleni Vasilaki, Guru Venkat, Ian T. Vidamour, Chester Wringe
2022	J	`jnl`	EchoVPR: Echo State Networks for Visual Place Recognition. IEEE Robotics Autom. Lett. Anil Özdemir, Mark Scerri, Andrew B. Barron, Andrew Philippides, Michael Mangan, Eleni Vasilaki, Luca Manneschi
2022	J	`jnl`	Signal neutrality, scalar property, and collapsing boundaries as consequences of a learned multi-timescale strategy. PLoS Comput. Biol. Luca Manneschi, Guido Gigante, Eleni Vasilaki, Paolo Del Giudice
2021	J	`jnl`	A Robotic Model of Hippocampal Reverse Replay for Reinforcement Learning. CoRR Matthew T. Whelan, Tony J. Prescott, Eleni Vasilaki
2021	J	`jnl`	A semi-supervised sparse K-Means algorithm. Pattern Recognit. Lett. Avgoustinos Vouros, Eleni Vasilaki
2021	J	`jnl`	An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations. Mach. Learn. Avgoustinos Vouros, Stephen Langdell, Mike Croucher, Eleni Vasilaki
2021	J	`jnl`	EchoVPR: Echo State Networks for Visual Place Recognition. CoRR Anil Özdemir, Andrew B. Barron, Andrew Philippides, Michael Mangan, Eleni Vasilaki, Luca Manneschi
2021	J	`jnl`	Exploiting Multiple Timescales in Hierarchical Echo State Networks. CoRR Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Giudice, Eleni Vasilaki
2021	J	`jnl`	Quantifying the Computational Capability of a Nanomagnetic Reservoir Computing Platform with Emergent Magnetization Dynamics. CoRR Ian T. Vidamour, Matthew O. A. Ellis, David Griffin, 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, Eleni Vasilaki, Dan A. Allwood, Thomas J. Hayward
2020	J	`jnl`	A semi-supervised sparse K-Means algorithm. CoRR Avgoustinos Vouros, Eleni Vasilaki
2020	J	`jnl`	An alternative to backpropagation through time. Nat. Mach. Intell. Luca Manneschi, Eleni Vasilaki
2020	J	`jnl`	Exploiting Multiple Timescales in Hierarchical Echo State Networks. Frontiers Appl. Math. Stat. Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Giudice, Eleni Vasilaki
2020	—	`conf`	Fast Reverse Replays of Recent Spatiotemporal Trajectories in a Robotic Hippocampal Model. Living Machines Matthew T. Whelan, Tony J. Prescott, Eleni Vasilaki
2020	J	`jnl`	Memristors - From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing. Adv. Intell. Syst. Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon
2020	J	`jnl`	Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing. CoRR Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon
2019	J	`jnl`	An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations. CoRR Avgoustinos Vouros, Stephen Langdell, Mike Croucher, Eleni Vasilaki
2019	J	`jnl`	Learning sparsity in reservoir computing through a novel bio-inspired algorithm. CoRR Luca Manneschi, Andrew C. Lin, Eleni Vasilaki
2019	—	`conf`	Robots that Imagine - Can Hippocampal Replay Be Utilized for Robotic Mnemonics? Living Machines Matthew T. Whelan, Eleni Vasilaki, Tony J. Prescott
2019	J	`jnl`	SpaRCe: Sparse reservoir computing. CoRR Luca Manneschi, Andrew C. Lin, Eleni Vasilaki
2018	J	`jnl`	Abstract concept learning in a simple neural network inspired by the insect brain. PLoS Comput. Biol. Alex J. Cope, Eleni Vasilaki, Dorian Minors, Chelsea Sabo, James A. R. Marshall, Andrew B. Barron
2017	J	`jnl`	A generalised framework for detailed classification of swimming paths inside the Morris Water Maze. CoRR Avgoustinos Vouros, Tiago V. Gehring, Kinga Szydlowska, Artur Janusz, Mike Croucher, Katarzyna Lukasiuk, Witold Konopka, Carmen Sandi, Eleni Vasilaki
2017	B	`conf`	An inexpensive flying robot design for embodied robotics research. IJCNN Chelsea Sabo, Esin Yavuz, Alex Cope, Kevin Gumey, Eleni Vasilaki, Thomas Nowotny, James A. R. Marshall
2017	J	`jnl`	Is Epicurus the father of Reinforcement Learning? CoRR Eleni Vasilaki
2016	J	`jnl`	A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee. PLoS Comput. Biol. Alex J. Cope, Chelsea Sabo, Kevin N. Gurney, Eleni Vasilaki, James A. R. Marshall
2016	J	`jnl`	Modelling Stock-market Investors as Reinforcement Learning Agents [Correction]. CoRR Alvin Pastore, Umberto Esposito, Eleni Vasilaki
2015	J	`jnl`	Detection of multiple and overlapping bidirectional communities within large, directed and weighted networks of neurons. CoRR Umberto Esposito, Eleni Vasilaki
2015	J	`jnl`	Emulating long-term synaptic dynamics with memristive devices. CoRR Shari Lim Wei, Eleni Vasilaki, Ali Khiat, Iulia Salaoru, Radu Berdan, Themistoklis Prodromakis
2015	J	`jnl`	Emulating short-term synaptic dynamics with memristive devices. CoRR Radu Berdan, Eleni Vasilaki, Ali Khiat, Giacomo Indiveri, Alexantrou Serb, Themistoklis Prodromakis
2015	—	`conf`	Highly scalable parallel processing of extracellular recordings of Multielectrode Arrays. EMBC Tiago V. Gehring, Eleni Vasilaki, Michele Giugliano
2015	—	`conf`	Modelling stock-market investors as Reinforcement Learning agents. EAIS Alvin Pastore, Umberto Esposito, Eleni Vasilaki
2014	J	`jnl`	Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity. Frontiers Comput. Neurosci. Umberto Esposito, Michele Giugliano, Eleni Vasilaki
2014	C	`conf`	Memristors as synapse emulators in the context of event-based computation. ISCAS Alexantrou Serb, Radu Berdan, Ali Khiat, S. L. W. Li, Eleni Vasilaki, Christos Papavassiliou, Themistoklis Prodromakis
2014	J	`jnl`	QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays. Frontiers Neuroinformatics Mufti Mahmud, Rocco Pulizzi, Eleni Vasilaki, Michele Giugliano
2013	C	`conf`	Temporal processing with volatile memristors. ISCAS Radu Berdan, Themistoklis Prodromakis, Ali Khiat, Iulia Salaoru, Christofer Toumazou, F. Perez-Diaz, Eleni Vasilaki
2013	—	`conf`	The Green Brain Project - Developing a Neuromimetic Robotic Honeybee. Living Machines Alex Cope, Chelsea Sabo, Esin Yavuz, Kevin N. Gurney, James A. R. Marshall, Thomas Nowotny, Eleni Vasilaki
2013	J	`jnl`	Transient and steady-state selection in the striatal microcircuit. Frontiers Comput. Neurosci. Adam R. Tomkins, Eleni Vasilaki, Christian Beste, Kevin N. Gurney, Mark D. Humphries
2012	—	`conf`	Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities. ICANN (1) Eleni Vasilaki, Michele Giugliano
2012	—	`conf`	How Degrading Networks Can Increase Cognitive Functions. ICANN (1) Adam R. Tomkins, Mark D. Humphries, Christian Beste, Eleni Vasilaki, Kevin N. Gurney
2009	J	`jnl`	Adaptive Gain Modulation in V1 Explains Contextual Modifications during Bisection Learning. PLoS Comput. Biol. Roland Schäfer, Eleni Vasilaki, Walter Senn
2009	J	`jnl`	Learning flexible sensori-motor mappings in a complex network. Biol. Cybern. Eleni Vasilaki, Stefano Fusi, Xiao-Jing Wang, Walter Senn
2009	J	`jnl`	Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. PLoS Comput. Biol. Eleni Vasilaki, Nicolas Frémaux, Robert Urbanczik, Walter Senn, Wulfram Gerstner
2009	J	`jnl`	Stimulus sampling as an exploration mechanism for fast reinforcement learning. Biol. Cybern. Boris B. Vladimirskiy, Eleni Vasilaki, Robert Urbanczik, Walter Senn
2008	J	`jnl`	Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression. PLoS Comput. Biol. Claudia Clopath, Lorric Ziegler, Eleni Vasilaki, Lars Büsing, Wulfram Gerstner
2007	J	`jnl`	Perceptual Learning via Modification of Cortical Top-Down Signals. PLoS Comput. Biol. Roland Schäfer, Eleni Vasilaki, Walter Senn
2003	—	`—`	A biologically inspired dynamic model for vision. Eleni Vasilaki
2003	J	`jnl`	Temporal album. IEEE Trans. Neural Networks Eleni Vasilaki, Jianfeng Feng, Hilary Buxton