Journal articles

Conference proceedings papers

  • Sabo C, Yavuz E, Cope A, Gurney K, Vasilaki E, Nowotny T & Marshall J (2017) An Inexpensive Flying Robot Design for Embodied Robotics Research,. 2017 International Joint Conference on Neural Networks (IJCNN) (pp 4171-4178), 15 May 2017 - 19 May 2017. View this article in WRRO
  • Sabo C, cope A, Gurney K, Vasilaki E & Marshall J (2016) Bio-Inspired Visual Navigation for a Quadcopter using Optic Flow. AIAA Infotech @ Aerospace. San Diego, CA, 4 January 2016 - 8 January 2016. View this article in WRRO
  • Cope A, Sabo , Vasilaki E, Gurney K & Marshall (2015) A neural model of the optomotor system accounts for ordered responses to decreasing stimulus spatial frequencies. CNS 2015 meeting. Prague
  • Mahmud M, Pulizzi R, Vasilaki E & Giugliano M (2014) QSpikeTools: An open source toolbox for parallel batch processing of extracellular neuronal signals recorded by substrate microelectrode arrays. 1st International Conference on Electrical Engineering and Information and Communication Technology, ICEEICT 2014
  • Mahmud M, Pulizzi R & Vasilaki E (2014) A Web-Based Framework for Semi-Online Parallel Processing of Extracellular Neuronal Signals Recorded by Microelectrode Arrays. MEA Meeting 2014, 9th International Meeting on Substrate-Integrated Microelectrode Arrays, 1 July 2014 - 4 July 2014.
  • Serb A, Berdan R, Khiat A, Li SLW, Vasilaki E, Papavasiliou C & Prodromakis T (2014) Memristors as synapse emulators in the context of event-based computation. IEEE International Symposium on Circuits and Systems (ISCAS)
  • Mahmud M, Pulizzi R, Vasilaki E, Giugliano M & IEEE (2014) QSpikeTools: An Open Source Toolbox for Parallel Batch Processing of Extracellular Neuronal Signals Recorded. 2014 1ST INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION & COMMUNICATION TECHNOLOGY (ICEEICT 2014)
  • Cope A, Sabo C, Yavuz E, Gurney K, Marshall J, Nowotny T & Vasilaki E (2013) The green brain project - Developing a neuromimetic robotic honeybee. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8064 LNAI (pp 362-363)
  • Cope A, Sabo C, Yavuz E, Gurney KN, Marshall J, Nowotny T & Vasilaki E (2013) The Green Brain Project - Developing a Neuromimetic Robotic Honeybee. Living Machines, Vol. 8064 (pp 362-363)
  • Beste C, Tomkins A, Vasilaki E, Saft C, Gurney K & Humphries M (2012) INCREASED COGNITIVE FUNCTIONING IN MANIFEST HD-EMPIRICAL EVIDENCE AND COMPUTATIONAL MODELLING. JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, Vol. 83 (pp A37-A38)
  • Vasilaki E & Giugliano M (2012) Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities. ICANN (1), Vol. 7552 (pp 193-200)
  • Tomkins A, Humphries MD, Beste C, Vasilaki E & Gurney KN (2012) How Degrading Networks Can Increase Cognitive Functions. ICANN (1), Vol. 7552 (pp 185-192)
  • Tomkins A, Humphries M, Vasilaki E, Gurney K & Beste C (2011) How degrading networks can increase select cognitive functions. Computational Neuroscience and Neurotechnology Bernstein Conference 2011. Freiburg, Germany, 4 October 2011.
  • Clopath C, Buesing L, Vasilaki E & Gerstner W (2010) Why is connectivity in barrel cortex different from that in visual cortex? - A plasticity model. COSYNE Computational and Systems Neuroscience. Salt Lake City, Utah, USA., 25 February 2010.
  • Vladimirskiy BB, Vasilaki E, Urbanczik R & Senn W (2007) Pattern sampling-based reinforcement learning via homeostatic plasticity and Hebbian tagging. Society for Neuroscience. San Diego, USA.
  • Vladimirski B, Vasilaki E & Senn W (2006) Hebbian reinforcement learning with stochastic binary synapses follows the reward gradient. The Fifteenth Annual Computational Neuroscience Meeting, Edinbourgh, UK.
  • Gehring T, Vasilaki E & Giugliano M () Highly Scalable Parallel Processing of Extracellular Recordings of Multielectrode Arrays. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. Milano, 25 August 2015 - 29 August 2015. View this article in WRRO
  • Berdan R, Prodromakis T, Khiat A, Salaoru I, Toumazou C, Perez-Diaz F & Vasilaki E () Temporal Processing with Volatile Memristors. IEEE International Symposium on Circuits and Systems (ISCAS) 2013. Beijing, China, 19 May 2013 - 23 May 2013.
  • Vasilaki E & Giugliano M () Do synaptic dynamics and STDP govern connectivity motifs?. Computational Neuroscience and Neurotechnology Bernstein Conference 2011. Freiburg, Germany, 4 October 2011.
  • Vasilaki E, Urbanczik R, Senn W & Gerstner W () Spike-based reinforcement in continuous state and action space. Multidisciplinary Symposium on Reinforcement Learning. Montreal, Quebec, Canada., 18 June 2009.
  • Vasilaki E, Urbanczik R, Senn W & Gerstner W () Spike-based reinforcement learning of navigation. The Seventeenth Annual Computational Neuroscience Meeting. Portland, Oregon, USA, 19 July 2008.
  • Vasilaki E, Urbanczik R, Senn W & Gerstner W () Spike-based reinforcement learning of navigation. The Seventeenth Annual Computational Neuroscience Meeting. Portland, Oregon, USA, 19 July 2008.
  • Clopath C, Buesing L, Vasilaki E & Gerstner W () A unified voltage-based model for STDP, LTP and LTD. COSYNE Computational and Systems Neuroscience. Salt Lake City, Utah, USA., 22 February 2007.
  • Vasilaki E, Fusi S, Wang XJ & Senn W () Learning and forgetting visuo-motor associations with a multi-layer neural network. Brain Inspired Cognitive systems. Molyvos, Island of Lesvos, Greece, 12 October 2006.
  • Schaefer R, Vasilaki E & Senn W () Perceptual learning by modifying top-down connections to V1. The Fifteenth Annual Computational Neuroscience Meeting. Edinbourgh, UK
  • Vasilaki E, Fusi S, Wang XJ & Senn W () A Hebbian reinforcement learning algorithm reproducing monkey performances in visuo-motor learning task. COSYNE Computational and Systems Neuroscience. Salt Lake City, Utah.
  • Vasilaki E, Feng JF & Buxton H () Processing Static Visual Information with IF-networks. Proceedings of the 12th Danish Conference on Pattern Recognition and Image Analysis, 1 August 2003.
  • Vassilakis H, Howel AJ & Buxton H () Comparison of Feedforward (TDRBF) and Generative (TDRGBN) Network for Gesture Based Control. Lecture Notes in Artificial Intelligence, Vol 2298
  • Gaiseanu F, Tsoukalas D, Tsamis C, Stoemenos J, Dimitriadis CA & Vasilaki E () Analysis Of Phosphorus Diffusion In the Polysilicon/Oxide/Silicon System Under Oxidizing Conditions For Profile Simulation. 194th Meeting, Electrochemical Society. Boston, MA.
  • Vasilaki E () Is Epicurus the father of Reinforcement Learning?. Sheffield Machine Learning Retreat 2017