LocalNorm: Robust Image Classification through Dynamically Regularized Normalization,
arXiv preprint arXiv:1902.06550,
preprint,
2019
Generalisation in fully-connected neural networks for time series forecasting,
arXiv preprint arXiv:1902.05312,
preprint,
2019
Pricing options and computing implied volatilities using neural networks,
arXiv preprint arXiv:1901.08943,
preprint,
2019
Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype,
bioRxiv (Accepted for ISMB),
preprint,
2019
A Biologically Plausible Learning Rule for Deep Learning in the Brain,
arXiv:1811.01768,
preprint,
2018
Dilated Convolutional Neural Networks for Time Series Forecasting,
Journal of Computational Finance,
preprint,
2018
A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs,
Proceedings of ICANN 2018
preprint,
2018
Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks,
Proceedings of ICANN 2018
preprint,
2018
An image representation based convolutional network for DNA classification,
Proceedings of ICLR 2018,
OpenReview,
2018
Artificial neural networks as models of neural information processing,
Frontiers in Computational Neuroscience,
Frontiers,
2017
On the data-driven COS method,
Applied Mathematics and Computation 317C pp. 68-84,
ScienceDirect,
2017
Visual pathways from the perspective of cost functions and multi-task deep neural networks,
To appear in Cortex,
arXiv:1703.01757 preprint,
2017
Conditional Time Series Forecasting with Convolutional Neural Networks,
To appear in Proc. of ICANN 2017,
arXiv:1703.04691 preprint,
2017
Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks,
Arxiv 1609.02053,
preprint,
2016
Efficient forward propagation of time-sequences in convolutional neural networks using Deep Shifting,
Arxiv 1603.03657,
preprint,
2016
How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks,
Plos Computational Biology, DOI:10.1371/journal.pcbi.1004060,
draft,
2015
A learning rule that explains how rewards teach attention,
Visual Cognition, DOI:10.1080/13506285.2015.1010462,
draft,
2015
Learning resets of neural working memory,
Proceeding of European Symposium on Neural Networks (ESANN 2014), pp 111-116,
draft,
2014
Spiking AGREL,
Proceeding of European Symposium on Neural Networks (ESANN 2014), pp 17-22,
draft,
2014
Spiking Neural Networks: Principles and Challenges,
Proceeding of European Symposium on Neural Networks (ESANN 2014), pp 1-10,
draft,
2014
Biologically plausible reinforcement learning of continuous actions,
Proceedings of Twenty-second Annual Computational Neuroscience Meeting: CNS*2013, BMC Neurosci, 14(Suppl 1): P28
2013
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model,
NIPS 25, pp 1844-1852,
draft,
Model Code (figure 4ABC)
2012
Neurally Plausible Reinforcement Learning of Working Memory Tasks,
NIPS 25, pp 1880-1888,
2012
Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks,
Network: Computation in Neural Systems 23(4), pp 183-211,
draft
2012
Biologically plausible multi-dimensional reinforcement learning in neural networks,
Proceedings of International Conference on Artificial Neural Networks (ICANN), LNCS 7552
22,
443-450,
draft
2012
Neurally plausible reinforcement learning of memory representations in delayed-response tasks, CoSyNe 2012 2012
How attention and reinforcers jointly optimize the associations between sensory representations, working memory and motor programs, Proceedings of Twentieth Annual Computational Neuroscience Meeting: CNS*2011, 12, 167, abstract, 2011
Error-backpropagation in Networks of Fractionally Predictive Spiking Neurons, Proceedings of ICANN 2011, Part I, 60-68, preprint, 2011
Collective Coordination and Agent Symmetry in Multi-Agent Dispersion Games, Foundations of Computational Intelligence,
draft, , submitted,
Adaptive Resource Allocation for Efficient Patient Scheduling, Artificial Intelligence in Medicine, 46(1), 67-80, pdf (draft), , 2009,
Optimization of Online Patient Scheduling with Urgencies and Preferences, Proceedings of AI in Medicine 2009 (AIME09), LNCS 5651, 71-80, draft, , 2009,
The Complex Dynamics of Sponsored Search Markets, Proceedings of the AAMAS Agents in DataMIming Workshop , LNCS 5680, 183-198, draft, , 2009,
Decentralized Online Scheduling of Combination-Appointments in Hospitals, Proceedings of ICAPS-2008, the International Conference on Automated Planning and Scheduling, , 372-379, pdf, , 2008,
Multi-agent Pareto appointment exchanging in hospital patient scheduling , Service Oriented Computing and Applications, 1(3), 185-196, pdf, , 2007,
Adaptive Optimization of Hospital Resource Calendars , Lecture Notes in Computer Science: Proceedings of the 11th Conference on Artificial Intelligence in Medicine (AIME'07), 4594, 305-315, pdf, , 2007,
A Computational Theory of Spike-Timing Dependent Plasticity: Achieving Robust Neural Responses via Response Variability Minimization, Neural Computation, 19(2), 371-403, pdf, , 2007,
Strategic Foresighted Learning in Competitive Multi-Agent Games, Proceedings of ECAI 2006, the 17th European Conference on Artificial Intelligence, G. Brewka and S. Coradeschi and A. Perini and P. Traverso (eds), 536-542, pdf, , 2006,
Improving Patient Activity Schedules by Multi-agent Pareto Appointment Exchanging, Proceedings of the 8th IEEE Conference on E-Commerce Technology (CEC' 06), , 9-16, pdf, , 2006,
Learning from Induced Changes in Opponent (Re)Actions in Multi-Agent Games, AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, , 728-735, pdf, , 2006,
Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity, Advances in Neural Information Processing Systems (NIPS) 17, editors Lawrence K. Saul, Yair Weiss, and Leon Bottou, 201--208, Cambridge, MA, MIT Press., pdf, , 2005,
The Evidence for Neural Information Processing with Precise Spike-times: A Survey, Natural Computing, 3(4), 195-206, pdf, , 2004,
Introduction to the Special Issue on Selected Papers from the 2003 Workshop on the Future of Neural Networks (FUNN 2003), Natural Computing, 3(4), 133-134, pdf, , 2004,
Nonparametric classification with polynomial MPMC cascades, Proceedings of ICML'04, July 4-8 2004, Banff, Canada, 14-20, pdf, , 2004,
Automated Negotiation and Bundling of Information Goods, Agent-Mediated Electronic Commerce V, LNCS 3048, 1-17, pdf, , 2004,
Market-based Recommendation: Agents that Compete for Consumer Attention, ACM Transactions on Internet Technology, 4(4), 420-448, pdf, , 2004,
COllective INtelligence with Sequences of Actions, Proceedings of ECML 2003, LNCS 2837, 181-192, pdf, , 2003,
Modeling efficient conjunction detection with spiking neural networks , Proceeding of European Symposium on Neural Networks , editor M. Verleysen, 263-268, pdf, , 2002,
SpikeProp: Error-Backpropagation for in Multi-Layer Networks of Spiking Neurons, Neurocomputing, 48(1-4), 17-37, pdf, , 2002,
Implementation of efficient conjunction detection in spiking neural networks, The Proceedings of WCCI/IJCNN 2002, , 1097-1103, pdf, , 2002,
An Extensible Agent Architecture for a Competitive Market-Based Allocation of Consumer Attention Space, Proceedings of the 4th Workshop on Agent Mediated Electronic Commerce, LNAI 2531, 273-288, pdf, , 2002,
Unsupervised classification in a layered network of spiking neurons, IEEE Transactions on Neural Networks, 13(2), 426-435, pdf, , March 2002,
Competitive Market-based Allocation of Consumer Attention Space, Proceedings of the 3rd ACM Conference on Electronic Commerce (EC-01), M. Wellman (editor), 202-206, pdf, , 2001,
SpikeProp: Error-Backpropagation for Networks of Spiking Neurons, The Proceedings of ESANN'2000, M. Verleysen (editor), 419-425, pdf, , 2000,
Unsupervised classification in a layered RBF Network of spiking neurons, The proceedings of IJCNN'2000, 4, 279--285, pdf, , 2000,
The influence of pair-wise and higher order correlations on the firing rate of a post-synaptic neuron, Neural Computation, 12(1), 153-179, pdf, , 2000,
Algorithms for the detection of connectedness and their neural implementation, Proceedings of the Corsican Neuroscience Summerschool, Parodi,O (Ed.), 1-17, pdf, , 1999,