Welcome! 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
|
|
