Definition
Computational modeling is an essential tool for developing an understanding of how nervous systems compute. This is particularly so for questions that span levels of analysis, attempting to integrate cellular, neuromodulatory, and electrophysiological data with behavioral performance. In neuroscience, computational techniques are used to study the mechanisms underlying neuronal or network responses to simple and complex inputs, analyze interactions among the parameters governing the properties of a neuron or network, and determine the coordinated mechanisms that underlie experimentally observed rich phenomena such as coherent oscillations or synaptic plasticity. In particular, computational modeling has been successful in associating neural activity with behavioral function, proposing neurophysiological mechanisms for observed behavioral capabilities, and generating novel, testable hypotheses. In our lab, computational models of behavioral phenomena have enabled us to...
References
Aungst JL, Heyward PM, Puche AC, Karnup SV, Hayar A, Szabo G, Shipley MT (2003) Centre-surround inhibition among olfactory bulb glomeruli. Nature 426:623–629
Bhagavan S, Smith BH (1997) Olfactory conditioning in the honey bee, Apis mellifera: effects of odor intensity. Physiol Behav 61:107–117
Castillo PE, Carleton A, Vincent JD, Lledo PM (1999) Multiple and opposing roles of cholinergic transmission in the main olfactory bulb. J Neurosci 19:9180–9191
Chaudhury D, Escanilla O, Linster C (2009) Bulbar acetylcholine enhances neural and perceptual odor discrimination. J Neurosci 29:52–60
Cleland TA, Linster C (1999) Concentration tuning mediated by spare receptor capacity in olfactory sensory neurons: a theoretical study. Neural Comput 11:1673–1690
Cleland TA, Linster C (2002) How synchronization properties among second-order sensory neurons can mediate stimulus salience. Behav Neurosci 116:212–221
Cleland TA, Linster C (2012) On-center/inhibitory-surround decorrelation via intraglomerular inhibition in the olfactory bulb glomerular layer. Front Integr Neurosci 6:5
Cleland TA, Sethupathy P (2006) Non-topographical contrast enhancement in the olfactory bulb. BMC Neurosci 7:7
Cleland TA, Morse A, Yue EL, Linster C (2002) Behavioral models of odor similarity. Behav Neurosci 116:222–231
Cleland TA, Johnson BA, Leon M, Linster C (2007) Relational representation in the olfactory system. Proc Natl Acad Sci USA 104:1953–1958
Cleland TA, Chen SY, Hozer KW, Ukatu HN, Wong KJ, Zheng F (2011) Sequential mechanisms underlying concentration invariance in biological olfaction. Front Neuroeng 4:21
de Almeida L, Idiart M, Linster C (2013) A model of cholinergic modulation in olfactory bulb and piriform cortex. J Neurophysiol 109:1360–1377
Devore S, Linster C (2012) Noradrenergic and cholinergic modulation of olfactory bulb sensory processing. Front Behav Neurosci 6:52
Devore S, Manella LC, Linster C (2012) Blocking muscarinic receptors in the olfactory bulb impairs performance on an olfactory short-term memory task. Front Behav Neurosci 6:59
Escanilla O, Yuhas C, Marzan D, Linster C (2009) Dopaminergic modulation of olfactory bulb processing affects odor discrimination learning in rats. Behav Neurosci 123:828–833
Gao Y, Strowbridge BW (2009) Long-term plasticity of excitatory inputs to granule cells in the rat olfactory bulb. Nat Neurosci 12:731–733
Hasselmo ME, Linster C, Patil M, Ma D, Cekic M (1997) Noradrenergic suppression of synaptic transmission may influence cortical signal-to-noise ratio. J Neurophysiol 77:3326–3339
Johnson BA, Leon M (2000) Modular representations of odorants in the glomerular layer of the rat olfactory bulb and the effects of stimulus concentration. J Comp Neurol 422:496–509
Johnson BA, Leon M (2007) Chemotopic odorant coding in a mammalian olfactory system. J Comp Neurol 503:1–34
Johnson BA, Woo CC, Hingco EE, Pham KL, Leon M (1999) Multidimensional chemotopic responses to n-aliphatic acid odorants in the rat olfactory bulb. J Comp Neurol 409:529–548
Kiyokage E, Pan YZ, Shao Z, Kobayashi K, Szabo G, Yanagawa Y, Obata K, Okano H, Toida K, Puche AC, Shipley MT (2010) Molecular identity of periglomerular and short axon cells. J Neurosci 30:1185–1196
Li G, Cleland TA (2013) A two-layer biophysical model of cholinergic neuromodulation in olfactory bulb. J Neurosci 33:3037–3058
Linster C, Cleland TA (2001) How spike synchronization among olfactory neurons can contribute to sensory discrimination. J Comput Neurosci 10:187–193
Linster C, Cleland TA (2002) Cholinergic modulation of sensory representations in the olfactory bulb. Neural Netw 15:709–717
Linster C, Cleland TA (2004) Configurational and elemental odor mixture perception can arise from local inhibition. J Comput Neurosci 16:39–47
Linster C, Cleland TA (2010) Decorrelation of odor representations via spike timing-dependent plasticity. Front Comput Neurosci 4:157
Linster C, Gervais R (1996) Investigation of the role of interneurons and their modulation by centrifugal fibers in a neural model of the olfactory bulb. J Comput Neurosci 3:225–246
Linster C, Hasselmo M (1997) Modulation of inhibition in a model of olfactory bulb reduces overlap in the neural representation of olfactory stimuli. Behav Brain Res 84:117–127
Linster C, Kerszberg M, Masson C (1994) How neurons may compute: the case of insect sexual pheromone discrimination. J Comput Neurosci 1:231–238
Linster C, Maloney M, Patil M, Hasselmo ME (2003) Enhanced cholinergic suppression of previously strengthened synapses enables the formation of self-organized representations in olfactory cortex. Neurobiol Learn Mem 80:302–314
Linster C, Henry L, Kadohisa M, Wilson DA (2007) Synaptic adaptation and odor-background segmentation. Neurobiol Learn Mem 87:352–360
Linster C, Menon AV, Singh CY, Wilson DA (2009) Odor-specific habituation arises from interaction of afferent synaptic adaptation and intrinsic synaptic potentiation in olfactory cortex. Learn Mem 16:452–459
Linster C, Nai Q, Ennis M (2011) Nonlinear effects of noradrenergic modulation of olfactory bulb function in adult rodents. J Neurophysiol 105:1432–1443
Mandairon N, Ferretti CJ, Stack CM, Rubin DB, Cleland TA, Linster C (2006a) Cholinergic modulation in the olfactory bulb influences spontaneous olfactory discrimination in adult rats. Eur J Neurosci 24:3234–3244
Mandairon N, Stack C, Kiselycznyk C, Linster C (2006b) Broad activation of the olfactory bulb produces long-lasting changes in odor perception. Proc Natl Acad Sci USA 103:13543–13548
Marbach F, Albeanu DF (2011) Photostimulation of short axon cells reveals widespread inhibition in the mouse olfactory bulb. Soc Neurosci Abstr 475:19
Meister M, Bonhoeffer T (2001) Tuning and topography in an odor map on the rat olfactory bulb. J Neurosci 21:1351–1360
Pressler RT, Inoue T, Strowbridge BW (2007) Muscarinic receptor activation modulates granule cell excitability and potentiates inhibition onto mitral cells in the rat olfactory bulb. J Neurosci 27:10969–10981
Song S, Miller KD, Abbott LF (2000) Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nat Neurosci 3:919–926
Stopfer M, Bhagavan S, Smith BH, Laurent G (1997) Impaired odour discrimination on desynchronization of odour-encoding neural assemblies. Nature 390:70–74
Stopfer M, Jayaraman V, Laurent G (2003) Intensity versus identity coding in an olfactory system. Neuron 39:991–1004
Strauch M, Ditzen M, Galizia CG (2012) Keeping their distance? Odor response patterns along the concentration range. Front Syst Neurosci 6:71
Wei CJ, Linster C, Cleland TA (2006) Dopamine D(2) receptor activation modulates perceived odor intensity. Behav Neurosci 120:393–400
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Linster, C., Cleland, T.A. (2014). Computational Modeling of Olfactory Behavior. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_607-1
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_607-1
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Computational Modeling of Olfactory Behavior- Published:
- 27 October 2018
DOI: https://doi.org/10.1007/978-1-4614-7320-6_607-2
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Computational Modeling of Olfactory Behavior- Published:
- 26 March 2014
DOI: https://doi.org/10.1007/978-1-4614-7320-6_607-1