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Jean-Pierre Rospars
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2010 – 2019
- 2017
- [j18]Vincent Jacob
, Christelle Monsempès, Jean-Pierre Rospars, Jean-Baptiste Masson
Olfactory coding in the turbulent realm. PLoS Comput. Biol. 13(12) (2017) - 2015
- [j17]Philippe Lucas, Jean-Pierre Rospars, Chris Christodoulou
Editorial. Biosyst. 136: 1-2 (2015) - [j16]Céline Lavialle-Defaix, Vincent Jacob
Firing and intrinsic properties of antennal lobe neurons in the Noctuid moth Agrotis ipsilon. Biosyst. 136: 46-58 (2015) - 2014
- [j15]Jean-Pierre Rospars, Alexandre Grémiaux
Heterogeneity and Convergence of Olfactory First-Order Neurons Account for the High Speed and Sensitivity of Second-Order Neurons. PLoS Comput. Biol. 10(12) (2014) - 2011
- [c4]Jordi Fonollosa
Biologically Inspired Computation for Chemical Sensing. FET 2011: 226-227
2000 – 2009
- 2009
- [j14]Malin Sandström, Anders Lansner
Modeling the response of a population of olfactory receptor neurons to an odorant. J. Comput. Neurosci. 27(3): 337-355 (2009) - [j13]Geir Halnes, Erik Ulfhielm, Emma Eklöf Ljunggren, Jeanette Hellgren Kotaleski
Modelling and sensitivity analysis of the reactions involving receptor, G-protein and effector in vertebrate olfactory receptor neurons. J. Comput. Neurosci. 27(3): 471-491 (2009) - [j12]Yuqiao Gu, Philippe Lucas
Computational Model of the Insect Pheromone Transduction Cascade. PLoS Comput. Biol. 5(3) (2009) - 2008
- [j11]Lubomir Kostal
Efficient Olfactory Coding in the Pheromone Receptor Neuron of a Moth. PLoS Comput. Biol. 4(4) (2008) - 2007
- [j10]Jean-Pierre Rospars, Philippe Lucas
Modelling the early steps of transduction in insect olfactory receptor neurons. Biosyst. 89(1-3): 101-109 (2007) - [j9]Lubomir Kostal
Encoding of pheromone intensity by dynamic activation of pheromone receptors. Neurocomputing 70(10-12): 1759-1763 (2007) - [c3]Petr Lánský
Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision. BVAI 2007: 338-349 - 2002
- [j8]Henry C. Tuckwell, Frederic Y. M. Wan, Jean-Pierre Rospars:
A spatial stochastic neuronal model with Ornstein-Uhlenbeck input current. Biol. Cybern. 86(2): 137-145 (2002) - 2001
- [j7]Jean-Pierre Rospars, Petr Lánský
Characterizing and modeling concentration-response curves of olfactory receptor cells. Neurocomputing 38-40: 319-325 (2001) - [j6]Arthur Vermeulen, Jean-Pierre Rospars:
Electrical circuitry of an insect olfactory sensillum. Neurocomputing 38-40: 1011-1017 (2001)
1990 – 1999
- 1998
- [j5]Arthur Vermeulen, Jean-Pierre Rospars:
Dendritic Integration in Olfactory Sensory Neurons: A Steady-State Analysis of How the Neuron Structure and Neuron Environment Influence the Coding of Odor Intensity. J. Comput. Neurosci. 5(3): 243-266 (1998) - 1996
- [j4]Jean-Pierre Rospars, Petr Lánský
Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron. J. Comput. Neurosci. 3(1): 51-72 (1996) - 1995
- [j3]Petr Lánský
Ornstein-Uhlenbeck model neuron revisited. Biol. Cybern. 72(5): 397-406 (1995) - [c2]Arthur Vermeulen, Jean-Pierre Rospars, Petr Lánský, Henry C. Tuckwell:
Some new results on the coding of pheromone intensity in an olfactory sensory neuron. ESANN 1995 - 1994
- [j2]Petr Lánský
Basic mechanisms of coding stimulus intensity in the olfactory sensory neuron. Neural Process. Lett. 1(1): 9-12 (1994) - [c1]Jean-Pierre Rospars, Petr Lánský:
Stochastic model of odor intensity coding in first-order olfactory neurons. ESANN 1994 - 1993
- [j1]Jean-Pierre Rospars, Petr Lánský
Stochastic model neuron without resetting of dendritic potential: application to the olfactory system. Biol. Cybern. 69(4): 283-294 (1993)
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