Maxime Carrere

Modeling pavlovian conditioning with multiple neuronal populations

Frédéric Alexandre, Maxime Carrere, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Combiner les apprentissages motivés et associatifs. (Combining associative and motivated learning)

Maxime Carrere, 2016 .

Modeling Neuromodulation as a Framework to Integrate Uncertainty in General Cognitive Architectures

Frédéric Alexandre, Maxime Carrere, 2016, AGI.

Feature, Configuration, History - A Bio-inspired Framework for Information Representation in Neural Networks

Frédéric Alexandre, Randa Kassab, Maxime Carrere, 2014, IJCCI.

A System-Level Model of Noradrenergic Function

Frédéric Alexandre, Maxime Carrere, F. Alexandre, 2016, ICANN.

Data Anonymization for Privacy Aware Machine Learning

Maxime Carrere, David Nizar Jaidan, Zakaria Chemli, 2019, LOD.

From biological to numerical experiments in systemic neuroscience: a simulation platform

Frédéric Alexandre, Thierry Viéville, Maxime Carrere, 2016 .

A biologically inspired neuronal model of reward prediction error computation

Frédéric Alexandre, Raju S. Bapi, Maxime Carrere, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Modeling the sensory roles of noradrenaline in action selection

Frédéric Alexandre, Maxime Carrere, F. Alexandre, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

A pavlovian model of the amygdala and its influence within the medial temporal lobe

Frédéric Alexandre, Maxime Carrere, F. Alexandre, 2015, Front. Syst. Neurosci..