Interactions of Odorants with Olfactory Receptors and Other Preprocessing Mechanisms: How Complex and Difficult to Predict?ROSPARS, Jean-Pierre.Chemical senses. 2013, Vol 38, Num 4, pp 283-287, issn 0379-864X, 5 p.Article

Selected papers presented at the Tenth International Neural Coding Workshop, Prague, Czech Republic, 2012LANSKY, Petr; ROSPARS, Jean-Pierre; CHRISTODOULOU, Chris et al.Brain research. 2013, Vol 1536, issn 0006-8993, 178 p.Conference Proceedings

Dose-response relationships in an olfactory flux detector model revisitedKAISSLING, Karl-Ernst; ROSPARS, Jean-Pierre.Chemical senses. 2004, Vol 29, Num 6, pp 529-531, issn 0379-864X, 3 p.Article

Modélisation biophysique du neurone récepteur olfactif : Influence de la structure spatiale du neurone, de l'environnement sensillaire et de la rétropropagation des potentiels d'action sur le codage de l'intensité = Biophysical modelling of the olfactory sensory neurone : Influence of neurone structure, sensillum environment and backpropagation of action potentiels on the coding of intensityVermeulen, Arthur; Rospars, Jean-Pierre.1997, 321 p.Thesis

Responses of single neurons and neuronal ensembles in frog first- and second-order olfactory neuronsROSPARS, Jean-Pierre; SANDA, Pavel; LANSKY, Petr et al.Brain research. 2013, Vol 1536, pp 144-158, issn 0006-8993, 15 p.Conference Paper

Estimation of the individual firing frequencies of two neurons recorded with a single electrodeMEUNIER, Nicolas; MARION-POLL, Frédéric; LANSKY, Petr et al.Chemical senses. 2003, Vol 28, Num 8, pp 671-679, issn 0379-864X, 9 p.Article

Transformation of the Sex Pheromone Signal in the Noctuid Moth Agrotis ipsilon: From Peripheral Input to Antennal Lobe OutputJARRIAULT, David; GADENNE, Christophe; LUCAS, Philippe et al.Chemical senses. 2010, Vol 35, Num 8, pp 705-715, issn 0379-864X, 11 p.Article

The speed of learning instructed stimulus-response association rules in human: Experimental data and modelBUGMANN, Guido; GOSLIN, Jeremy; DUCHAMP-VIRET, Patricia et al.Brain research. 2013, Vol 1536, pp 2-15, issn 0006-8993, 14 p.Conference Paper

Ca²⁺ stabilizes the membrane potential of moth olfactory receptor neurons at rest and is essential for their fast repolarizationPEZIER, Adeline; ACQUISTAPACE, Adrien; RENOU, Michel et al.Chemical senses. 2007, Vol 32, Num 4, pp 305-317, issn 0379-864X, 13 p.Article

Glutamate―AMPAR interaction in a model of synaptic transmissionVENTRIGLIA, Francesco; DI MAIO, Vito.Brain research. 2013, Vol 1536, pp 168-176, issn 0006-8993, 9 p.Conference Paper

Transmission efficiency in ring, brain inspired neuronal networks. Information and energetic aspectsPAPROCKI, Bartosz; SZCZEPANSKI, Janusz.Brain research. 2013, Vol 1536, pp 135-143, issn 0006-8993, 9 p.Conference Paper

Classification of stimuli based on stimulus-response curves and their variabilityLANSKY, Petr; POKORA, Ondrej; ROSPARS, Jean-Pierre et al.Brain research. 2008, Vol 1225, pp 57-66, issn 0006-8993, 10 p.Conference Paper

Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor networkHERMAN, Pawel Andrzej; LUNDQVIST, Mikael; LANSNER, Anders et al.Brain research. 2013, Vol 1536, pp 68-87, issn 0006-8993, 20 p.Conference Paper

Measuring input synchrony in the Ornstein―Uhlenbeck neuronal model through input parameter estimationKOUTSOU, Achilleas; KANEV, Jacob; CHRISTODOULOU, Chris et al.Brain research. 2013, Vol 1536, pp 97-106, issn 0006-8993, 10 p.Conference Paper

Natural image sequences constrain dynamic receptive fields and imply a sparse codeHÄUSLER, Chris; SUSEMIHL, Alex; NAWROT, Martin P et al.Brain research. 2013, Vol 1536, pp 53-67, issn 0006-8993, 15 p.Conference Paper

On the precision of neural computation with interaural level differences in the lateral superior oliveBURES, Zbynek; MARSALEK, Petr.Brain research. 2013, Vol 1536, pp 16-26, issn 0006-8993, 11 p.Conference Paper

Data-driven honeybee antennal lobe model suggests how stimulus-onset asynchrony can aid odour segregationNOWOTNY, Thomas; STIERLE, Jacob S; GALIZIA, C. Giovanni et al.Brain research. 2013, Vol 1536, pp 119-134, issn 0006-8993, 16 p.Conference Paper

Population coding is essential for rapid information processing in the moth antennal lobeKOBAYASHI, Ryota; NAMIKI, Shigehiro; KANZAKI, Ryohei et al.Brain research. 2013, Vol 1536, pp 88-96, issn 0006-8993, 9 p.Conference Paper

Visual thalamocortical circuits in parvalbumin-deficient miceLINTAS, Alessandra; SCHWALLER, Beat; VILLA, Alessandro E. P et al.Brain research. 2013, Vol 1536, pp 107-118, issn 0006-8993, 12 p.Conference Paper

Pheromone Modulates Plant Odor Responses in the Antennal Lobe of a MothCHAFFIOL, Antoine; DUPUY, Fabienne; BARROZO, Romina B et al.Chemical senses. 2014, Vol 39, Num 5, pp 451-463, issn 0379-864X, 13 p.Article

Modeling complex responses of FM-sensitive cells in the auditory midbrain using a committee machineCHANG, T. R; CHIU, T. W; SUN, X et al.Brain research. 2013, Vol 1536, pp 44-52, issn 0006-8993, 9 p.Conference Paper

On the haptic nature of the active electric sense of fishCAPUTI, Angel A; AGUILERA, Pedro A; PEREIRA, Ana Carolina et al.Brain research. 2013, Vol 1536, pp 27-43, issn 0006-8993, 17 p.Conference Paper

Modeling neuronal activity in relation to experimental voltage-/patch-clamp recordingsTCHAPTCHET, Aubin; POSTNOVA, Svetlana; FINKE, Christian et al.Brain research. 2013, Vol 1536, pp 159-167, issn 0006-8993, 9 p.Conference Paper