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Since September 1st 2013, I am an associate professor at the University of Lorraine (http://www.univ-nancy2.fr/sciencescognitives/index.html) in the Neurosys team, at Loria (Laboratoire Lorrain de Recherche en Informatique et ses Applications).

In general, I am interested in understanding how intrinsic dynamics of single neurons impact neural network behaviors, bridging the gap between modeling scales being necessary to a better understanding of the neuronal/nervous system.

Current projects:

- Mathematical Modelling of Neural Oscillations in Hippocampal Memory Networks during Waking  and under General Anaesthesia
- Sleep/Wake mathematical modelling and extraction of electrophysiological markers of the epileptical hippocampus.

Main research topics:
- neuronal synchronization and oscillatory behaviors (application to anaesthesia, hippocampal system, olfactory system of insects)
- parameter estimation of neuronal models (more specifically conductance-based models) with stochastic optimization methods
- general anaesthesia
- memory formation and retrieval

Main publications:
(for a complete list of my publications, see section "Publications").

  • A. Aussel, L. Buhry, L. Tyvaert, R. Ranta. Journal of Computational Neuroscience (October 2018) : A detailed anatomical and mathematical model of the hippocampal formation for the generation of Sharp-Wave Ripples and Theta-nested Gamma oscillations.
  • A. Aussel, L. Buhry and R. Radu. IEEE Conference on Decision and Control (2017) :  Stability conditions in ring networks with non-trivial activation functions.
  • Giovannini F., Knauer B., Yoshida M., and Buhry L., The CAN-In network: A biologically inspired model for self-sustained theta oscillations and memory maintenance in the hippocampus (2017). Hippocampus 27:4. p 450--463. doi:10.1002/hipo.22704
  • Hutt A. and Buhry L. (2014) Study of GABAergic extra-synaptic tonic inhibition in single neurons and neural populations by traversing neural scales: application to propofol-induced anaesthesia. Journal of Computational Neuroscience, Springer, 1-21.
  • Buhry L., Pace M. et Saïghi S. (April 2012). Global Parameter Estimation of Hodgkin-Huxley Formalism Using Membrane Voltage Recordings. Neurocomputing, 81: 75–85.
  • Grassia F., Buhry L., Levi T., Tomas J., and Saïghi S. (2011).Tunable Neuromimetic Integrated System for Emulating Cortical Neuron Models. Frontiers in Neuromorphic Engineering, 5: 134.
  • Buhry L., Azizi H., Cheng S. (2011). Reactivation, Replay and Preplay: How They Might all Fit Together. Neural Plasticity, Hindawi. Article ID 203462, 11 pages doi:10.1155/2011/203462.
  • Buhry L., Grassia F., Giremus A., Grivel E., and Saïghi S. (2011). Automated Parameter Estimation of the Hodgkin-Huxley Model Using the Di.erential Evolution Algorithm: Application to Neuromimetic Analog Integrated Circuits. Neural Computation, 23:10, 2599–2625.
  • Chen H., Saïghi S., Buhry L. and Renaud S. (2010) Real-time Simulation of Biologically-realistic Stochastic Neurons in VLSI. IEEE Transactions on Neural Networks, 21 :1511–1517.
  • Buhry L., Saïghi S., Giremus A., Grivel E., Renaud S. (2009). Automated Tuning of Analog Neuromimetic Integrated Circuits. Proceedings of the Biomedical Circuits and Systems Conference (BIOCAS), China