Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition

@incollection{NIPS2005_709, abstract = {[Chemical sensors, neuromorphic signal processing, computational model of olfactory bulb, spiking neuron model, center on-off surround lateral connection] This paper presents a neuromorphic model of two olfactory signal-processing primitives: chemotopic convergence of olfactory receptor neurons, and center on-off surround lateral inhibition in the olfactory bulb. A self-organizing model of receptor convergence onto glomeruli is used to generate a spatially organized map, an olfactory image. This map serves as input to a lattice of spiking neurons with lateral connections. The dynamics of this recurrent network transforms the initial olfactory image into a spatio-temporal pattern that evolves and stabilizes into odor- and intensity-coding attractors. The model is validated using experimental data from an array of temperature-modulated gas sensors. Their results are consistent with recent neurobiological findings on the antennal lobe of the honeybee and the locust.}, address = {Cambridge, MA}, author = {Raman, Baranidharan and Gutierrez-Osuna, Ricardo }, booktitle = {Advances in Neural Information Processing Systems 17}, citeulike-article-id = {423193}, comment = {NIPS 2004}, editor = {Saul, Lawrence K. and Weiss, Yair and Bottou, L\'{e}on }, keywords = {o-model}, pages = {1105--1112}, posted-at = {2005-12-06 04:17:36}, priority = {0}, publisher = {MIT Press}, title = {Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition}, year = {2005} }

TY - CHAP ID - NIPS2005_709 L3 - citeulike-article-id:423193 TI - Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition T2 - Advances in Neural Information Processing Systems 17 SP - 1105 EP - 1112 AD - Cambridge, MA PB - MIT Press N2 - [Chemical sensors, neuromorphic signal processing, computational model of olfactory bulb, spiking neuron model, center on-off surround lateral connection] This paper presents a neuromorphic model of two olfactory signal-processing primitives: chemotopic convergence of olfactory receptor neurons, and center on-off surround lateral inhibition in the olfactory bulb. A self-organizing model of receptor convergence onto glomeruli is used to generate a spatially organized map, an olfactory image. This map serves as input to a lattice of spiking neurons with lateral connections. The dynamics of this recurrent network transforms the initial olfactory image into a spatio-temporal pattern that evolves and stabilizes into odor- and intensity-coding attractors. The model is validated using experimental data from an array of temperature-modulated gas sensors. Their results are consistent with recent neurobiological findings on the antennal lobe of the honeybee and the locust. KW - o-model N1 - NIPS 2004 AU - Raman, Baranidharan AU - Gutierrez-Osuna, Ricardo A2 - Saul, Lawrence A2 - Weiss, Yair A2 - Bottou, Léon PY - 2005/// ER -