Dr. Bernd Illing | Biologically plausible unsupervised learning in shallow and deep neural networks | 2021 |
Dr. Chiara Gastaldi | A dynamical systems approach to synaptic consolidation and associations of concepts in hippocampus | 2021 |
Dr. Florian François Colombo | Learning music composition with recurrent neural networks | 2021 |
Dr. Vasiliki Liakoni | Surprise-based model estimation in reinforcement learning: algorithms and brain signatures | 2021 |
Dr. Olivia Gozel | From adult dentate gyrus neurogenesis to pattern separation | 2019 |
Dr. Marco Lehman | One-shot learning and eligibility traces in sequential decision making | 2018 |
Dr. Samuel Muscinelli | Slow dynamics in structured neural network models | 2018 |
Dr. Dane Corneil | Model-based reinforcement learning and navigation in animals and machines | 2018 |
Dr. Hesam Setareh | Neural assemblies as core elements for modeling neural networks in the brain | 2017 |
Dr. Alexander Kevin Seeholzer | Continuous attractor working memory and provenance of channel models | 2017 |
Dr. Mohammadjavad Faraji | Learning with surprise: theory and applications | 2016 |
Dr. Carlos Stein Naves de Brito | Theory of representation learning in cortical neural networks | 2016 |
Dr. Christian Pozzorini | Computational principles of single neuron adaptation | 2014 |
Dr. Skander Mensi | A new Mathematical Framework to Understand Single Neuron Computations | 2014 |
Dr. Friedemann Zenke | Memory formation and recall in recurrent spiking neural networks | 2014 |
Dr. Lorric Ziegler | Synaptic Learning Rules with Consolidation | 2014 |
Dr. Felipe Gerhard | Statistical models of effective connectivity in neural microcircuits | 2014 |
Dr. Nicolas Frémaux | Models of reward-modulated spike-timing-dependent plasticity | 2013 |
Dr. Guillaume Hennequin | Stability and amplification in plastic cortical circuits | 2012 |
Dr. Danilo Jimenez Rezende | Behavioral and computational mechanisms of multi-sensory integration in humans | 2012 |
Dr. Christian Tomm | Analysing Neuronal Network Architectures | 2012 |
Dr. Richard Naud | The Dynamics of Adapting Neurons | 2011 |
Dr. Nicolas Marcille | Models of Evidence Integration in Rapid Decision Making Processes | 2011 |
Dr. Claudia Clopath | Synaptic plasticity across different time scales and its functional implications | 2009 |
Dr. Gediminas Luksys | Stress, individual differences, and norepinephrine in reinforcement learning-based prediction of mouse behavior in conditioning and spatial learning | 2009 |
Dr. Laurent Badel | Interpretation of neuronal response properties with simplified neuron models | 2008 |
Dr. Denis Sheynikhovich | Spatial navigation in geometric mazes : a computational model of rodent behavior | 2007 |
Dr. Brice Bathellier | Analysis of information processing in the olfactory bulb by in vivo experiments and theoretical modelling | 2007 |
Dr. Laurence Meylan | Tone mapping for high dynamic range images | 2006 |
Dr. Jean-Pascal Pfister | Theory of non-linear spike-time-dependent plasticity | 2006 |
Dr. Ricardo Chavarriaga | Spatial learning and navigation in the rat : a biomimetic model | 2005 |
Dr. Julien Mayor | Sensory memory in a model of a cortical column : noise, phase transitions and signal statistics | 2005 |
Dr. Renaud Jolivet | Effective minimal threshold models of neuronal activity | 2004 |
Dr. Thomas Strösslin | A connectionist model of spatial learning in the rat | 2004 |
Dr. Silvio Borer | New support vector algorithms for multicategorical data applied to real-time object recognition | 2003 |
Dr. Pierre-Edouard Sottas | Temporal sequence learning with non-equilibrium recurrent neural networks | 2002 |
Dr. Félix Gers | Long short-term memory in recurrent neural networks | 2001 |
Dr. Alix Herrmann | Noise and the neural response to current transients | 2001 |
Dr. Angelo Arleo | Spatial learning and navigation in neuro-mimetic systems : modeling the rat hippocampus | 2000 |
Dr. Mona Spiridon | Signal transmission reliability in densely connected networks of spiking neurons | 2000 |
Dr. Perry Moerland | Mixture models for unsupervised and supervised learning | 2000 |
Dr. Fabrizio Smeraldi | Attention-driven pattern recognition | 2000 |