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Andrea Soltoggio
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Evolutionary advantages of neuromodulated plasticity in dynamic, reward-based scenarios
A Soltoggio, JA Bullinaria, C Mattiussi, P Dürr, D Floreano
Proceedings of the 11th international conference on artificial life (Alife …, 2008
1742008
Born to learn: the inspiration, progress, and future of evolved plastic artificial neural networks
A Soltoggio, KO Stanley, S Risi
Neural Networks 108, 48-67, 2018
1522018
Biological underpinnings for lifelong learning machines
D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ...
Nature Machine Intelligence 4 (3), 196-210, 2022
1302022
Distributed task rescheduling with time constraints for the optimization of total task allocations in a multirobot system
J Turner, Q Meng, G Schaefer, A Whitbrook, A Soltoggio
IEEE transactions on cybernetics 48 (9), 2583-2597, 2017
1052017
A fully convolutional two-stream fusion network for interactive image segmentation
Y Hu, A Soltoggio, R Lock, S Carter
Neural Networks 109, 31-42, 2019
1042019
Evolving neuromodulatory topologies for reinforcement learning-like problems
A Soltoggio, P Durr, C Mattiussi, D Floreano
2007 IEEE Congress on evolutionary computation, 2471-2478, 2007
972007
Evolvability of neuromodulated learning for robots
P Dürr, C Mattiussi, A Soltoggio, D Floreano
2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems …, 2008
402008
Online representation learning with single and multi-layer Hebbian networks for image classification
Y Bahroun, A Soltoggio
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
382017
From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation
A Soltoggio, KO Stanley
Neural Networks 34, 28–41, 2012
372012
Sliced cramer synaptic consolidation for preserving deeply learned representations
S Kolouri, NA Ketz, PK Pilly, A Soltoggio
International Conference on Learning Representations (ICLR), 2020
342020
Short-term plasticity as cause-effect hypothesis testing in distal reward learning
A Soltoggio
Biological Cybernetics, 1-20, 2014
342014
VOCCluster: Untargeted metabolomics feature clustering approach for clinical breath gas chromatography/mass spectrometry data
Y Alkhalifah, I Phillips, A Soltoggio, K Darnley, WH Nailon, D McLaren, ...
Analytical chemistry 92 (4), 2937-2945, 2019
332019
Solving the distal reward problem with rare correlations
A Soltoggio, JJ Steil
Neural computation 25 (4), 940-978, 2013
322013
Robot apology as a post-accident trust-recovery control strategy in industrial human-robot interaction
P Fratczak, YM Goh, P Kinnell, L Justham, A Soltoggio
International Journal of Industrial Ergonomics 82, 103078, 2021
282021
Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data
A Skarysz, Y Alkhalifah, K Darnley, M Eddleston, Y Hu, DB McLaren, ...
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
282018
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
A Soltoggio, B Jones
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
282009
Distributed strategy adaptation with a prediction function in multi-agent task allocation
J Turner, Q Meng, G Schaefer, A Soltoggio
Loughborough University, 2018
252018
Improving the segmentation of scanning probe microscope images using convolutional neural networks
S Farley, JEA Hodgkinson, OM Gordon, J Turner, A Soltoggio, PJ Moriarty, ...
Machine Learning: Science and Technology 2 (1), 015015, 2020
192020
Wasserstein task embedding for measuring task similarities
X Liu, Y Bai, Y Lu, A Soltoggio, S Kolouri
arXiv preprint arXiv:2208.11726, 2022
182022
Rare neural correlations implement robotic conditioning with delayed rewards and disturbances
A Soltoggio, A Lemme, F Reinhart, JJ Steil
Frontiers in Neurorobotics 7, 6, 2013
182013
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Articles 1–20