Lapicque's introduction of the integrate-and-fire model neuron, Brain Res Bull, vol.50, pp.5-6303, 1907. ,
Neurones artificiels sur Silicium: une évolution vers le réseau, pp.1-2674, 2003. ,
The Handbook of Brain Theory and Neural Networks, 1995. ,
Systèmes neuromorphiques temps réel : contribution à l'intégration de réseaux de neurones biologiquement réalistes avec fonctions de plasticité, pp.81-90, 2010. ,
Synaptic modification by correlated activity: Hebb's postulate revisited. Annual review of neuroscience, pp.139-166, 2001. ,
Experimental study of electrical FitzHugh???Nagumo neurons with modified excitability, Neural Networks, vol.19, issue.5, pp.684-693, 2006. ,
DOI : 10.1016/j.neunet.2005.07.011
URL : https://hal.archives-ouvertes.fr/hal-00584220
A Real-Time Closed-Loop Setup for Hybrid Neural Networks, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3004-3011, 2007. ,
DOI : 10.1109/IEMBS.2007.4352961
URL : https://hal.archives-ouvertes.fr/hal-00181426
Réseaux de neurones sur silicium : une approche mixte, analogique / numérique, pour l'étude des phénomènes d'adaptation, d'apprentissage et de plasticité, pp.31-39, 2006. ,
BiCMOS Analog Integrated Circuits for Embedded Spiking Neural Networks, Proeeding of XX Conference on Design of Circuits and Integrated Systems, pp.1-25, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-00203934
Simulation of networks of spiking neurons: A review of tools and strategies, Journal of Computational Neuroscience, vol.25, issue.54, pp.349-398, 2007. ,
DOI : 10.1007/s10827-007-0038-6
URL : https://hal.archives-ouvertes.fr/hal-00180662
Estimation de paramètres de modèles de neurones biologiques sur une plate-forme de SNN (Spiking Neural Network) implantés "in silico, pp.1-4057, 2010. ,
Automated Parameter Estimation of the Hodgkin-Huxley Model Using the Differential Evolution Algorithm: Application to Neuromimetic Analog Integrated Circuits, Neural Computation, vol.4, issue.10, pp.2599-2625, 2011. ,
DOI : 10.1023/A:1008880518515
URL : https://hal.archives-ouvertes.fr/hal-00625448
Parameter estimation of the Hodgkin-Huxley model using metaheuristics: Application to neuromimetic analog integrated circuits, 2008 IEEE Biomedical Circuits and Systems Conference, pp.173-176, 2008. ,
DOI : 10.1109/BIOCAS.2008.4696902
URL : https://hal.archives-ouvertes.fr/hal-00347187
A Population Study of Integrate-and-Fire-or-Burst Neurons, Neural Computation, vol.15, issue.5, pp.957-986, 2002. ,
DOI : 10.1017/S0952523800001784
What is computational neuroscience?, Computational neuroscience, pp.46-55, 1993. ,
Dynamic electrical characteristics of the squid axon membrane, Arch. Sci. Physiol, vol.3, pp.253-258, 1949. ,
Intrinsic firing patterns of diverse neocortical neurons, Trends in Neurosciences, vol.13, issue.3, pp.99-104, 1990. ,
DOI : 10.1016/0166-2236(90)90185-D
Introduction to neuroscience I. Donald C. Cooper Ph, 2011. ,
Systémes neuromorphiques: Etude et implantation de fonctions d'apprentissage et de plasticité, pp.1-3806, 2009. ,
Laminar localization, morphology, and physiological properties of pyramidal neurons that have the low-threshold calcium current in the guinea-pig medial frontal cortex, The Journal of Neuroscience, issue.17, pp.165301-5311, 1996. ,
Simplified models of neocortical pyramidal cells preserving somatodendritic voltage attenuation, Neurocomputing, vol.38, issue.40, pp.167-173, 2001. ,
DOI : 10.1016/S0925-2312(01)00428-3
URL : https://hal.archives-ouvertes.fr/hal-00124664
Which formalism to use for modeling voltagedependent conductances?, Computational Neuroscience: Realistic Modeling for Experimentalists, pp.129-157, 2000. ,
An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding, Neural Computation, vol.30, issue.1, pp.14-18, 1994. ,
DOI : 10.1162/neco.1993.5.2.200
Kinetic models of synaptic transmission, Methods in Neuronal Modeling, vol.23, issue.83, pp.1-25, 1998. ,
Dendritic Low- Threshold Calcium Currents in Thalamic Relay Cells, The Journal of Neuroscience, vol.18, issue.10, pp.3574-3588, 1998. ,
The high-conductance state of neocortical neurons in vivo, Nature Reviews Neuroscience, vol.4, issue.9, pp.739-751, 2003. ,
DOI : 10.1038/nrn1198
URL : https://hal.archives-ouvertes.fr/hal-00299172
A bio-physically inspired silicon neuron, IEEE Transactions on Circuits and Systems I: Regular Papers, vol.52, issue.3, pp.477-488, 2005. ,
DOI : 10.1109/TCSI.2004.842871
The Nernst Equation, Journal of Chemical Education, vol.71, issue.6, pp.71493-71497, 1994. ,
DOI : 10.1021/ed071p493
Generalization of the strategies in differential evolution, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings., p.67, 2004. ,
DOI : 10.1109/IPDPS.2004.1303160
Training convolutional networks of threshold neurons suited for low-power hardware implementation, Proceedings of the International Joint Conference on Neural Networks, part of the IEEE World Congress on Computational Intelligence, pp.16-21, 2006. ,
Mathematical models of threshold phenomena in the nerve membrane, Conclusions and implications, pp.257-278, 1955. ,
DOI : 10.1007/BF02477753
Impulses and Physiological States in Theoretical Models of Nerve Membrane, Biophysical Journal, vol.1, issue.6, pp.445-466, 1961. ,
DOI : 10.1016/S0006-3495(61)86902-6
Automated neuron model optimization techniques: a review, Biological Cybernetics, vol.1, issue.4598, pp.241-251, 2008. ,
DOI : 10.1007/s00422-008-0257-6
Spiking Neuron Models: Single Neurons, Populations , Plasticity, p.18, 2002. ,
DOI : 10.1017/CBO9780511815706
Two networks of electrically coupled inhibitory neurons in neocortex, Nature, vol.402, issue.71, pp.75-79, 1999. ,
A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware, Computational Intelligence and Bioinspired Systems, 8th International Work-Conference on Artificial Neural Networks, pp.552-563, 2005. ,
DOI : 10.1007/11494669_68
An FPGA-Based Approach to High-Speed Simulation of Conductance-Based Neuron Models, Neuroinformatics, vol.2, issue.4, pp.417-435, 2004. ,
DOI : 10.1385/NI:2:4:417
Tunable neuromimetic integrated system for emulating cortical neuron models, Frontiers in Neuroscience, vol.5, issue.70, p.107, 2011. ,
DOI : 10.3389/fnins.2011.00134
URL : https://hal.archives-ouvertes.fr/hal-00684091
Bifurcation analysis in a silicon neuron, Artificial Life and Robotics, vol.23, issue.3, pp.53-58, 2012. ,
DOI : 10.1007/s10015-012-0016-6
URL : https://hal.archives-ouvertes.fr/hal-00775856
Phase Dynamics for Weakly Coupled Hodgkin-Huxley Neurons, Europhysics Letters (EPL), vol.23, issue.5, pp.367-372, 1993. ,
DOI : 10.1209/0295-5075/23/5/011
Transistor channel dendrites implementing HMM classifiers, 2007 IEEE International Symposium on Circuits and Systems, pp.3359-3362, 2007. ,
DOI : 10.1109/ISCAS.2007.378287
Bifurcation of periodic solutions of the Hodgkin-Huxley model for the squid giant axon, Journal of Theoretical Biology, vol.71, issue.3, pp.401-420, 1978. ,
DOI : 10.1016/0022-5193(78)90168-6
Theory and applications of Hopf bifurcation, p.45, 1981. ,
Ionic Channels of Excitable Membranes. Sinauer Associates, 2 sub edition, p.36, 1991. ,
A Model of Neuronal Bursting Using Three Coupled First Order Differential Equations, Proceedings of the Royal Society, pp.87-102, 1984. ,
DOI : 10.1098/rspb.1984.0024
The NEURON Simulation Environment, Neural Computation, vol.15, issue.6, pp.1179-1209, 1997. ,
DOI : 10.1088/0954-898X_5_1_002
The local electric changes associated with repetitive action in a non-medullated axon, The Journal of Physiology, vol.107, issue.2, pp.165-181, 1948. ,
DOI : 10.1113/jphysiol.1948.sp004260
A quantitative description of membrane current and its application to conduction and excitation in nerve, The Journal of Physiology, vol.117, issue.4, pp.500-544, 1952. ,
DOI : 10.1113/jphysiol.1952.sp004764
A VLSI Array of Low-Power Spiking Neurons and Bistable Synapses With Spike-Timing Dependent Plasticity, IEEE Transactions on Neural Networks, vol.17, issue.1, pp.211-221, 2006. ,
DOI : 10.1109/TNN.2005.860850
Spike-based learning in VLSI networks of integrate-andfire neurons, International Symposium on Circuits and Systems, pp.3371-3374, 2007. ,
NEURAL EXCITABILITY, SPIKING AND BURSTING, International Journal of Bifurcation and Chaos, vol.10, issue.06, pp.1171-1266, 2000. ,
DOI : 10.1142/S0218127400000840
Resonate-and-fire neurons, Neural Networks, vol.14, issue.6-7, pp.6-7883, 2001. ,
DOI : 10.1016/S0893-6080(01)00078-8
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.2719
Simple model of spiking neurons, IEEE Transactions on Neural Networks, vol.14, issue.6, pp.1569-1572, 2003. ,
DOI : 10.1109/TNN.2003.820440
Which Model to Use for Cortical Spiking Neurons?, IEEE Transactions on Neural Networks, vol.15, issue.5, pp.1063-1070, 2004. ,
DOI : 10.1109/TNN.2004.832719
Large-scale model of mammalian thalamocortical systems, Proceedings of the National Academy of Sciences, vol.105, issue.9, pp.3593-3598, 2008. ,
DOI : 10.1073/pnas.0712231105
Real-time interaction between a neuromorphic electronic circuit and the spinal cord, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.9, issue.3, pp.319-326, 2001. ,
DOI : 10.1109/7333.948461
Principles of Neural Science, p.37, 2000. ,
A simple and global optimization algorithm for engineering problems: Differential evolution algorithm 68 Conclusions and implications, Computer Journal of Turk Electronic Engineering, vol.12, issue.1, 2004. ,
Constraining Compartmental Models Using Multiple Voltage Recordings and Genetic Algorithms, Journal of Neurophysiology, vol.94, issue.6, pp.3730-3742, 2005. ,
DOI : 10.1152/jn.00408.2005
An Integrate-and-fire Model of Prefrontal Cortex Neuronal Activity during Performance of Goal-directed Decision Making, Cerebral Cortex, vol.15, issue.12, pp.1964-1981, 2005. ,
DOI : 10.1093/cercor/bhi072
From conductances to neural network properties: Analysis of simple circuits using the hybrid network method, Progress in Biophysics and Molecular Biology, vol.64, issue.2-3, pp.201-220, 1995. ,
DOI : 10.1016/S0079-6107(96)00004-1
Feedback inhibition controls spike transfer in hybrid thalamic circuits, Nature, vol.15, issue.6891, pp.854-858, 2002. ,
DOI : 10.1038/nature00825
URL : https://hal.archives-ouvertes.fr/hal-00124031
Morris-Lecar model, Scholarpedia, vol.2, issue.10, pp.1333-1349, 2007. ,
DOI : 10.4249/scholarpedia.1333
Spinnaker: Distributed computer engineering for neuromorphics, Frontiers in Artificial Intelligence and Applications, vol.234, pp.324-331, 2011. ,
Temporal Coding in a Silicon Network of Integrate-and-Fire Neurons, IEEE Transactions on Neural Networks, vol.15, issue.5, pp.1305-1314, 2004. ,
DOI : 10.1109/TNN.2004.832725
The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function, Science, vol.242, issue.4886, pp.1654-1664, 1988. ,
DOI : 10.1126/science.3059497
A silicon neuron, Nature, vol.354, issue.6354, pp.515-518, 1991. ,
DOI : 10.1038/354515a0
Towards biologically realistic multi-compartment neuron model emulation in analog vlsi, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learnin (ESANN), p.26, 2012. ,
Artificial neural networks in hardware: A survey of two decades of progress, Neurocomputing, vol.74, issue.1-3, pp.239-255, 2010. ,
DOI : 10.1016/j.neucom.2010.03.021
Voltage oscillations in the barnacle giant muscle fiber, Biophysical Journal, vol.35, issue.1, pp.193-213, 1981. ,
DOI : 10.1016/S0006-3495(81)84782-0
An Active Pulse Transmission Line Simulating Nerve Axon, Proceedings of Institute of Radio Engineers, pp.2061-2070, 1962. ,
DOI : 10.1109/JRPROC.1962.288235
A Systematic Method for Configuring VLSI Networks of Spiking Neurons, Neural Computation, vol.3, issue.10, pp.2457-2497, 2011. ,
DOI : 10.1162/neco.1989.1.3.334
Minimal Hodgkin???Huxley type models for different classes of cortical and thalamic neurons, Biological Cybernetics, vol.17, issue.4-5, pp.427-441, 2008. ,
DOI : 10.1007/s00422-008-0263-8
URL : https://hal.archives-ouvertes.fr/hal-00377075
Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks, Journal of Computational Neuroscience, vol.22, issue.1, pp.81-100, 2007. ,
DOI : 10.1007/s10827-006-8526-7
An improved silicon neuron, Analog Integrated Circuits and Signal Processing, vol.23, issue.3, pp.227-236, 2000. ,
DOI : 10.1023/A:1008357931826
A neural simulation system based on biologically realistic electronic neurons, Information Sciences, vol.161, issue.1-2, pp.57-69, 2004. ,
DOI : 10.1016/j.ins.2003.03.007
URL : https://hal.archives-ouvertes.fr/hal-00203931
Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks, 2007 IEEE International Symposium on Circuits and Systems, pp.3355-3358, 2007. ,
DOI : 10.1109/ISCAS.2007.378286
URL : https://hal.archives-ouvertes.fr/hal-00161313
PAX: A mixed hardware/software simulation platform for spiking neural networks, Neural Networks, vol.23, issue.7, pp.905-916, 2010. ,
DOI : 10.1016/j.neunet.2010.02.006
URL : https://hal.archives-ouvertes.fr/hal-01179647
Stepwise repolarization from ca 2+ plateaus in neocortical pyramidal cells: evidence for nonhomogeneous distribution of hva ca 2+ channels in dendrites, The Journal of Neuroscience, issue.11, pp.134609-134630, 1993. ,
Analysis of neural excitability and oscillations, Methods in neuronal modeling, p.42, 1989. ,
Automatic fitting of spiking neuron models to electrophysiological recordings, Frontiers in Neuroinformatics, vol.4, issue.2, p.21, 2010. ,
DOI : 10.3389/neuro.11.002.2010
Circuits et systèmes de modélisation analogique de réseaux de neurones biologiques: application au développement d'outils pour les neurosciences computationnelles, pp.1-2891, 2004. ,
A Library of Analog Operators Based on the Hodgkin-Huxley Formalism for the Design of Tunable, Real-Time, Silicon Neurons, IEEE Transactions on Biomedical Circuits and Systems, vol.5, issue.1, pp.3-19, 2011. ,
DOI : 10.1109/TBCAS.2010.2078816
Adjusting the neurons models in neuromimetic ICs using the voltage-clamp technique, 2008 IEEE International Symposium on Circuits and Systems, pp.1564-1567, 2008. ,
DOI : 10.1109/ISCAS.2008.4541730
Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons, 2007 IEEE International Symposium on Circuits and Systems, pp.3367-3370, 2007. ,
DOI : 10.1109/ISCAS.2007.378289
Wafer-scale integration of analog neural networks, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), pp.431-438, 2008. ,
DOI : 10.1109/IJCNN.2008.4633828
Dynamic range and sensitivity adaptation in a silicon spiking neuron, IEEE Transactions on Neural Networks, vol.10, issue.5, pp.1232-1238, 1999. ,
DOI : 10.1109/72.788662
A Multiconductance Silicon Neuron With Biologically Matched Dynamics, IEEE Transactions on Biomedical Engineering, vol.51, issue.2, pp.51342-354, 2004. ,
DOI : 10.1109/TBME.2003.820390
Dendritic Excitability and Synaptic Plasticity, Physiological Reviews, vol.88, issue.2, pp.769-840, 2008. ,
DOI : 10.1152/physrev.00016.2007
Using a Hybrid Neural System to Reveal Regulation of Neuronal Network Activity by an Intrinsic Current, Journal of Neuroscience, vol.24, issue.23, pp.5427-5438, 2004. ,
DOI : 10.1523/JNEUROSCI.4449-03.2004
Differential evolution ? a simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, vol.11, issue.4, pp.341-359, 1997. ,
DOI : 10.1023/A:1008202821328
Neuronal Networks of the Hippocampus, p.51, 1991. ,
DOI : 10.1017/CBO9780511895401
A comparative survey of automated parameter-search methods for compartmental neural models, Journal of Computational Neuroscience, vol.7, issue.2, pp.149-171, 1999. ,
DOI : 10.1023/A:1008972005316
Silicon spike-based synaptic array and address-event transceiver, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512), pp.385-388, 2004. ,
DOI : 10.1109/ISCAS.2004.1329585
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.5901
Methods in neuronal modeling. chapter Multiple channels and calcium dynamics, pp.97-133, 1989. ,
Analog VLSI Biophysical Neurons and Synapses With Programmable Membrane Channel Kinetics, IEEE Transactions on Biomedical Circuits and Systems, vol.4, issue.3, pp.139-148, 2010. ,
DOI : 10.1109/TBCAS.2010.2048566
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.423.6981