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Number of items: 28.


Manneschi, L., Lin, A.C. and Vasilaki, E. (2019) SpaRCe : sparse reservoir computing. arXiv. (Submitted)

Chhabria, K., Vouros, A., Gray, C. et al. (7 more authors) (2019) Sodium nitroprusside prevents the detrimental effects of glucose on the neurovascular unit and behaviour in zebrafish. Disease Models and Mechanisms, 12 (9). ISSN 1754-8403

Vouros, A., Langdell, S., Croucher, M. et al. (1 more author) (2019) An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations. arXiv. (Submitted)

Manneschi, L., Lin, A.C. and Vasilaki, E. (2019) Learning sparsity in reservoir computing through a novel bio-inspired algorithm. arXiv. (Submitted)

Vouros, A., Gehring, T.V., Szydlowska, K. et al. (7 more authors) (2018) A generalised framework for detailed classification of swimming paths inside the Morris Water Maze. Scientific Reports, 8. 15089.

Cope, A.J., Vasilaki, E., Minors, D. et al. (3 more authors) (2018) Abstract concept learning in a simple neural network inspired by the insect brain. PLoS Computational Biology, 14 (9). e1006435. ISSN 1553-7358

Cope, A.J., Sabo, C., Vasilaki, E. et al. (2 more authors) (2017) A computational model of the integration of landmarks and motion in the insect central complex. PLoS One, 12 (2). e0172325.

Cope, A.J., Sabo, C., Gurney, K. et al. (2 more authors) (2016) A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee. PLoS Comput Biol, 12 (5). e1004887. ISSN 1553-734X

Berdan, R., Vasilaki, E., Khiat, A. et al. (3 more authors) (2016) Emulating short-term synaptic dynamics with memristive devices. Scientific Reports, 6. 18639. ISSN 2045-2322

Esposito, U. and Vasilaki, E. (2015) Detection of multiple and overlapping bidirectional communities within large, directed and weighted networks of neurons. (Unpublished)

Gehring, T., Luksys, G., Sandi, C. et al. (1 more author) (2015) Detailed classification of swimming paths in the Morris Water Maze: multiple strategies within one trial. Scientific Reports, 5. 14562 . ISSN 2045-2322

Barron, A.B., Gurney, K.N., Meah, L.F.S. et al. (2 more authors) (2015) Decision-making and action selection in insects: inspiration from vertebrate-based theories. Frontiers in Behavioral Neuroscience, 9. 216. ISSN 1662-5153

Esposito, U., Giugliano, M. and Vasilaki, E. (2015) 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 in Computational Neurscience, 8. 175. ISSN 1662-5188

Esposito, U., Giugliano, M., van Rossum, M. et al. (1 more author) (2014) Measuring symmetry, asymmetry and randomness in neural network connectivity. PLOS ONE, 9 (7). e100805. ISSN 1932-6203

Mahmud, M., Pulizzi, R., Vasilaki, E. et al. (1 more author) (2014) QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays. Frontiers in Neuroinformatics, 8. 26. ISSN 1662-5196

Tomkins, A., Vasilaki, E., Beste, C. et al. (2 more authors) (2014) Transient and steady-state selection in the striatal microcircuit. Frontiers in Computational Neuroscience, 7. 192. ISSN 1662-5188

Vasilaki, E. and Giugliano, M. (2014) Emergence of Connectivity Motifs in Networks of Model Neurons with Short- and Long-term Plastic Synapses. PLoS ONE, 9 (1). e84626.

Richmond, P., Buesing, L., Giugliano, M. et al. (1 more author) (2011) Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations. PLoS One, 6 (5). e18539. ISSN 1932-6203

Schäfer, R., Vasilaki, E. and Senn, W. (2009) Adaptive gain modulation in V1 explains contextual modifications during bisection learning. PLoS Computational Biology, 5 (12). e1000617. ISSN 1553-734X

Vasilaki, E., Frémaux, N., Urbanczik, R. et al. (2 more authors) (2009) Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. PLoS Computational Biology, 5 (12). e1000586. ISSN 1553-734X

Clopath, C., Ziegler, L., Vasilaki, E. et al. (2 more authors) (2008) Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression. PLoS Computational Biology, 4 (12). e1000248. ISSN 1553-734X

Schafer, R., Vasilaki, E. and Senn, W. (2007) Perceptual Learning via Modification of Cortical Top-Down Signals. PLoS Computational Biology, 3 (8). e165. ISSN 1553-734X

Wei, S.L., Vasilaki, E., Khiat, A. et al. (3 more authors) Emulating long-term synaptic dynamics with memristive devices. (Unpublished)

Proceedings Paper

Whelan, M.T., Vasilaki, E. and Prescott, T.J. (2019) Robots that imagine – can hippocampal replay be utilized for robotic mnemonics? In: Martinez-Hernandez, U., Vouloutsi, V., Mura, A., Mangan, M., Asada, M., Prescott, T.J. and Verschure, P.F.M.J., (eds.) Biomimetic and Biohybrid Systems. 8th International Conference, Living Machines, 09-12 Jul 2019, Nara, Japan. Lecture Notes in Computer Science . Springer International Publishing , pp. 277-286. ISBN 9783030247409

Sabo, C., Yavuz, E., Cope, A. et al. (4 more authors) (2017) An Inexpensive Flying Robot Design for Embodied Robotics Research. In: 2017 International Joint Conference on Neural Networks (IJCNN). 2017 International Joint Conference on Neural Networks, 14/05/2017 - 19/05/2017, Anchorage, Alaska. Institute of Electrical and Electronics Engineers , pp. 4171-4178.

Sabo, C., Cope, A., Gurney, K. et al. (2 more authors) (2016) Bio-Inspired Visual Navigation for a Quadcopter using Optic Flow. In: AIAA Infotech @ Aerospace, AIAA SciTech. AIAA Infotech @ Aerospace, 04-08 Jan 2016, San Diego, CA. American Institute of Aeronautics and Astronautics . ISBN 978-1-62410-388-9

Gehring, T., Vasilaki, E. and Giugliano, M. (2015) Highly Scalable Parallel Processing of Extracellular Recordings of Multielectrode Arrays. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. 37th Annual International Conference of the IEEE, 25-29 Aug. 2015, Milan, Italy. IEEE .

Vasilaki, E. Is Epicurus the father of Reinforcement Learning? In: Sheffield Machine Learning Retreat 2017. Sheffield Machine Learning Retreat 2017, 02 Jun 2017, Sheffield, UK. . (Unpublished)

This list was generated on Sun Jan 19 09:32:17 2020 GMT.