Maxime Ambard


  • +33 (0)3 80 39 39 07
  • +33 (0)3 80 39 57 67
  • Room #324

CNRS - Université Bourgogne Franche-Comté - UMR 5022
Institut Marey
64 rue de Sully
21000 Dijon


Software development

Connectionist modeling

Electrophysiological data analysis

Curriculum Vitae

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Maxime Ambard obtained his certificate from the EPF Engineering School in 2002. After working one year for a computer science engineering company as a programming engineer, he obtained a master in cognitive sciences at Lyon II University. Afterwards, he obtained his PhD at the Henri Poincaré University in Nancy (France) as part of the CORTEX team at the INRIA Nancy. His Phd work focuses on the impact of synaptic inhibition on the information transfer operated by the mitral cells of the olfactory bulb. He then worked for four years at the Bernstein Center Freiburg, in Germany, as a post-doctoral fellow. He is a lecturer at the University of Burgundy since September 2013. He teaches computer science at the IUT Dijon and he is attached to the Laboratory for Research on Learning and Development (Laboratoire d'Etude sur l'Apprentissage et le Développement, LEAD). His current research area focuses on neural, cognitive, and behavioral aspects of the multisensory integration involved in the mental representation of the acoustic environment.

Research topics

Neural, cognitive, and behavioral aspects of the multisensory integration involved in the mental representation of the acoustic environment


  • Ambard, M. (2017). Software design for low-latency visuo-auditory sensory substitution on mobile devices. Computer and Information Science. More ›
  • Ambard, M., Benezeth, Y., & Pfister, P. (2015). Mobile video-to-audio transducer and motion detection for sensory substitution. Frontiers in ICT, Virtual environements. More ›
  • Ambard, M, & Rotter, S (2012). Support vector machines for spike pattern classification with a leaky integrate-and-fire neuron. Frontiers in Computational Neuroscience. More ›
  • Ambard, M, Guo, B, Martinez, D, & Bermak, A (2008). A Spiking Neural Network for Gas Discrimination Using a Tin Oxide Sensor Array. Paper presented at DELTA, IEEE International Symposium on Electronic Design, Test & Applications, Hong-kong. More ›
  • Guo, B, Bermak, A, Ambard, M, & Martinez, D (2007). A 4x4 Logarithmic Spike Timing Encoding Scheme for Olfactory Sensor Applications. Paper presented at ISCAS, IEEE International Symposium on Circuits and Systems, Hong-Kong. More ›
  • Ambard, M, & Martinez, D (2006). Inhibitory control of spike timing precision. Neurocomputing. More ›

Find out more

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