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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

16. An Information Theoretic Approach to Stimulus Processing in the Olfactory System

verfasst von : Martijn Arts, Rudolf Mathar, Marc Spehr

Erschienen in: Information- and Communication Theory in Molecular Biology

Verlag: Springer International Publishing

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Abstract

Biological communication and information systems have evolved over millions of years. Although they have been optimized under different design criteria than recent man-made technical communication systems, both are subject to the same information theoretic principles. It is the purpose of this proposal to design manageable channel models which describe information flow and signal processing by cellular and neural entities. In biology, channels are formed by transmitting intertwined chemical and electrical stimuli. A typical, however, still tractable example is the olfactory system of mammals. Mice will be used as a model to explore the basic principles of information exchange between sensory neurons and the brain by information theoretic means. Massive parallelism, optimal quantization, and information fusion will be important challenges to cope with. The final goal of this proposal is twofold. First, biologists will be provided with analytical models to simulate certain aspects of neural processes on a purely numerical basis. Second, the functionality of biological transmission channels will be explored, the basic principles will be isolated and useful features will be carried over to technical communication systems.

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Literatur
Alirezaei G, Mathar R (2015a) Optimum one-bit quantization. In: IEEE information theory workshop (ITW 2015), Jeju Island, Korea, pp 357–361
Alirezaei G, Mathar R (2015b) An upper bound on the capacity of censored channels. In: The 9th international conference on signal processing and communication systems (ICSPCS’15), Australia, Cairns, p 6
Arts M et al (2013) Modelling biological systems using a parallel quantized MIMO channel. In: The tenth international symposium on wireless communication systems (ISWCS 2013), Ilmenau, Germany, pp 385–389
Arts M et al (2016) A discontinuous neural network for non-negative sparse approximation. In: ArXiv e-prints. arXiv:​1603.​06353 [cs.NE]
Gorin M et al (2016) Interdependent conductances drive infraslow intrinsic rhythmogenesis in a subset of accessory olfactory bulb. J Neurosci 36(11):3127–3144CrossRef
Aungst JL et al (2003) Centre–surround inhibition among olfactory bulb glomeruli. Nature 426:623–629CrossRef
Balavoine A, Romberg J, Rozell CJ (2012) Convergence and rate analysis of neural networks for sparse approximation. IEEE Trans Neural Netw Learn Syst 23(9):1377–1389CrossRef
Ben-Shaul Y et al (2010) In vivo vomeronasal stimulation reveals sensory encoding of conspecific and allospecific cues by the mouse accessory olfactory bulb. Proc Natl Acad Sci U S A 107(11):5172–5177CrossRef
Blankenship AG, Feller MB (2009) Mechanisms underlying spontaneous patterned activity in developing neural circuits. Nat Rev Neurosci 11(1):18–29CrossRef
Blethyn KL et al (2006) Neuronal basis of the slow (<1 Hz) oscillation in neurons of the nucleus reticularis thalami in vitro. J Neurosci 26(9):2474–2486CrossRef
Bouzerdoum A, Pattison TR (1993) Neural network for quadratic optimization with bound constraints. IEEE Trans Neural Netw 4(2):293–304CrossRef
Boyd S, Vandenberghe L (2004) Convex optimization. Cambridge University Press, New YorkCrossRefMATH
Brown CH (2004) Rhythmogenesis in vasopressin cells. J Neuroendocr 16(9):727–739CrossRef
Brody CD, Hopfield JJ (2003) Simple networks for spike-timing-based computation, with application to olfactory processing. Neuron 37(5):843–852CrossRef
Buzsáki G, Draguhn A (2004) Neuronal oscillations in cortical networks. Science 304(5679):1926–1929CrossRef
Bucher D, Taylor AL, Marder E (2006) Central pattern generating neurons simultaneously express fast and slow rhythmic activities in the stomatogastric ganglion. J Neurophysiol 95(6):3617–3632CrossRef
Buzsáki G, Logothetis N, Singer W (2013) Scaling brain size, keeping timing: evolutionary preservation of brain rhythms. Neuron 80(3):751–764CrossRef
Candès EJ, Romberg J, Tao T (2006) Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory 52(2):489–509MathSciNetCrossRefMATH
Castro JB, Hovis KR, Urban NN (2007) Recurrent dendrodendritic inhibition of accessory olfactory bulb mitral cells requires activation of group I metabotropic glutamate receptors. J Neurosci 27(21):5664–5671CrossRef
Chen T-W, Lin B-J, Schild D (2009) Odor coding by modules of coherent mitral/tufted cells in the vertebrate olfactory bulb. Proc Natl Acad Sci U S A 106(7):2401–2406CrossRef
Chu Z et al (2012) Two types of burst firing in gonadotrophin-releasing hormone neurones. J Neuroendocr 24(7):1065–1077CrossRef
Colwell CS (2011) Linking neural activity and molecular oscillations in the SCN. Nat Rev Neurosci 12(10):553–569CrossRef
Cover TM, Thomas JA (2006) Elements of information theory. Telecommunications and signal processing. Wiley, New York
Crunelli V, Hughes SW (2010) The slow (<1 Hz) rhythm of non-REM sleep: a dialogue between three cardinal oscillators. Nat Neurosci 13(1):9–17CrossRef
Cury KM, Uchida N (2010) Robust odor coding via inhalation-coupled transient activity in the mammalian olfactory bulb. Neuron 68(3):570–585CrossRef
Del Punta K et al (2002) A divergent pattern of sensory axonal projections is rendered convergent by second-order neurons in the accessory olfactory bulb. Neuron 35(6):1057–1066CrossRef
Deco G, Jirsa VK, McIntosh AR (2011) Emerging concepts for the dynamical organization of resting-state activity in the brain. Nat Rev Neurosci 12(1):43–56CrossRef
Dulac C, Torello AT (2003) Molecular detection of pheromone signals in mammals: from genes to behaviour. Nat Rev Neurosci 4(7):551–562CrossRef
Dulac C, Wagner S (2006) Genetic analysis of brain circuits underlying pheromone signaling. Annu Rev Genet 40:449–467CrossRef
Ermentrout GB, Galán RF, Urban NN (2008) Reliability, synchrony and noise. Trends Neurosci 31(8):428–434CrossRef
Firestein S (2001) How the olfactory system makes sense of scents. Nature 413(6852):211–218CrossRef
Fukunaga I et al (2012) Two distinct channels of olfactory bulb output. Neuron 75(2):320–329CrossRef
Gao Y, Strowbridge BW (2009) Long-term plasticity of excitatory inputs to granule cells in the rat olfactory bulb. Nat Neurosci 12(6):731–733CrossRef
Ganguli S, Sompolinsky H (2012) Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. Annu Rev Neurosci 35:485–508CrossRef
Giridhar S, Doiron B, Urban NN (2011) Timescale-dependent shaping of correlation by olfactory bulb lateral inhibition. Proc Natl Acad Sci U S A 108(14):5843–5848CrossRef
Grillner S (2006) Biological pattern generation: the cellular and computational logic of networks in motion. Neuron 52(5):751–766CrossRef
Gutierrez GJ, O’Leary T, Marder E (2013) Multiple mechanisms switch an electrically coupled, synaptically inhibited neuron between competing rhythmic oscillators. Neuron 77(5):845–858CrossRef
Hayar A et al (2004) Olfactory bulb glomeruli: external tufted cells intrinsically burst at theta frequency and are entrained by patterned olfactory input. J Neurosci 24(5):1190–1199CrossRef
Hayar A, Shipley MT, Ennis M (2005) Olfactory bulb external tufted cells are synchronized by multiple intraglomerular mechanisms. J Neurosci 25(36):8197–8208CrossRef
Hammen GF et al (2014) Functional organization of glomerular maps in the mouse accessory olfactory bulb. Nat Neurosci 1–11
Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci 79(8):2554–2558MathSciNetCrossRef
Hopfield JJ (1984) Neurons with graded response have collective computational properties like those of two-state neurons. Proc Natl Acad Sci 81(10):3088–3092CrossRef
Hopfield JJ (1995) Pattern recognition computation using action potential timing for stimulus representation. Nature 376(6535):33–36CrossRef
Ho N-D, Van Dooren P, Blondel VD (2011) Descent methods for nonnegative matrix factorization. In: Van Dooren P (ed) Numerical linear algebra in signals, systems and control, vol 80. Lecture notes in electrical engineering. Springer, Netherlands, pp 251–293
Hovis KR et al (2012) Activity regulates functional connectivity from the vomeronasal organ to the accessory olfactory bulb. J Neurosci 32(23):7907–7916CrossRef
Izhikevich EM et al (2003) Bursts as a unit of neural information: selective communication via resonance. Trends Neurosci 26(3):161–167CrossRef
Koizumi H, Smith JC (2008) Persistent Na+ and K+-dominated leak currents contribute to respiratory rhythm generation in the pre-Bötzinger complex in vitro. J Neurosci 28(7):1773–1785CrossRef
Koulakov AA, Rinberg D (2011) Sparse incomplete representations: a potential role of olfactory granule cells. Neuron 72(1):124–136CrossRef
Koulakov AA, Gelperin A, Rinberg D (2007) Olfactory coding with all-or-nothing glomeruli. J Neurophysiol 98(6):3134–3142CrossRef
Larriva-Sahd J (2008) The accessory olfactory bulb in the adult rat: a cytological study of its cell types, neuropil, neuronal modules, and interactions with the main olfactory system. J Comp Neurol 510(3):309–350CrossRef
Ledoux JE (2000) Emotion circuits in the brain. Annu Rev Neurosci 23:155–184CrossRef
Lee DD, Seung HS (1999) Learning the parts of objects by non-negative matrix factorization. Nature 401(6755):788–791CrossRef
Leszkowicz E et al (2012) Noradrenaline-induced enhancement of oscillatory local field potentials in the mouse accessory olfactory bulb does not depend on disinhibition of mitral cells. Eur J Neurosci 1–13
Lin DY et al (2005) Encoding social signals in the mouse main olfactory bulb. Nature 434(7032):470–477CrossRef
Lin DY, Shea SD, Katz LC (2006) Representation of natural stimuli in the rodent main olfactory bulb. Neuron 50(6):937–949CrossRef
Ma J, Lowe G (2004) Action potential backpropagation and multiglomerular signaling in the rat vomeronasal system. J Neurosci 24(42):9341–9352CrossRef
Mathar R, Schmeink A (2011a) A bio-inspired approach to condensing information. In: IEEE international symposium on information theory (ISIT), Saint-Petersburg, pp 2524–2528
Mathar R, Schmeink A (2011b) Cooperative detection over multiple parallel channels: a principle inspired by nature. In: IEEE international symposium on personal, indoor and mobile radio communications (PIMRC), Toronto, Canada, pp 1768–1772
Mathar R, Dörpinghaus M (2013) Threshold optimization for capacity achieving discrete input one-bit output quantization. In: 2013 IEEE international symposium on information theory proceedings (ISIT), pp 1999–2003
Maier N et al (2011) Coherent phasic excitation during hippocampal ripples. Neuron 72(1):137–152CrossRef
McDonnell MD, Stocks NG, Abbott D (2007) Optimal stimulus and noise distributions for information transmission via suprathreshold stochastic resonance. Phys Rev E 75(6):061105MathSciNetCrossRef
McDonnell MD, Amblard P-O, Stocks NG (2009) Stochastic pooling networks. J Stat Mech Theory Exp 2009(01):P01012CrossRef
McDonnell MD, Amblard P-O, Stocks NG (2010) Bio-inspired communication: performance limits for information transmission and compression in stochastic pooling networks with binary quantizing nodes. J Comput Theor Nanosci 7(5):876–883CrossRef
Mizuseki K et al (2009) Theta oscillations provide temporalwindows for local circuit computation in the entorhinal-hippocampal loop. Neuron 64(2):267–280CrossRef
Miura K, Mainen ZF, Uchida N (2012) Odor representations in olfactory cortex: distributed rate coding and decorrelated population activity. Neuron 74(6):1087–1098CrossRef
Mombaerts P (2004) Genes and ligands for odorant, vomeronasal and taste receptors. Nat Rev Neurosci 5(4):263–278CrossRef
Mombaerts P et al (1996) Visualizing an olfactory sensory map. Cell 87(4):675–686CrossRef
Murphy GJ, Darcy DP, Isaacson JS (2005) Intraglomerular inhibition: signaling mechanisms of an olfactory microcircuit. Nat Neurosci 8(3):354–364CrossRef
Peña F et al (2004) Differential contribution of pacemaker properties to the generation of respiratory rhythms during normoxia and hypoxia. Neuron 43(1):105–117CrossRef
Ressler KJ, Sullivan SL, Buck LB (1994) Information coding in the olfactory system: evidence for a stereotyped and highly organized epitope map in the olfactory bulb. Cell 79(7):1245–1255CrossRef
Rieke F, de Ruyter van Steveninck R, Bialek W (1997) Spikes: exploring the neural code. In: Sejnowski TJ, Poggio TA (eds). The MIT Press, Cambridge
Rozell CJ et al (2008) Sparse coding via thresholding and local competition in neural circuits. Neural Comput 20(10):2526–2563MathSciNetCrossRef
Romano SA et al (2015) Spontaneous neuronal network dynamics reveal circuit’s functional adaptations for behavior. Neuron 1070–1085
Schoppa NE, Urban NN (2003) Dendritic processing within olfactory bulb circuits. Trends Neurosci 26(9):501–506CrossRef
Schroeder CE, Lakatos P (2009) Low-frequency neuronal oscillations as instruments of sensory selection. Trends Neurosci 32(1):9–18CrossRef
Shadlen MN, Newsome WT (1998) The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J Neurosci 18(10):3870–3896
Shepherd GM, Chen WR, Greer CA (2004) Olfactory bulb. In: Shepherd GM (ed) The synaptic organization of the brain. Oxford University Press, New York, pp 165–216CrossRef
Shao Z et al (2009) Two GABAergic intraglomerular circuits differentially regulate tonic and phasic presynaptic inhibition of olfactory nerve terminals. J Neurophysiol 101(4):1988–2001CrossRef
Shusterman R et al (2011) Precise olfactory responses tile the sniff cycle. Nat Neurosci 14(8):1039–1044CrossRef
Shapero S et al (2012) Low power sparse approximation on reconfigurable analog hardware. IEEE J Emerg Sel Top Circuits Syst 2(3):530–541CrossRef
Shpak G et al (2012) Calcium-activated sustained firing responses distinguish accessory from main olfactory bulb mitral cells. J Neurosci 32(18):6251–6262CrossRef
Simerly RB (2002) Wired for reproduction: organization and development of sexually dimorphic circuits in the mammalian forebrain. Annu Rev Neurosci 25:507–536CrossRef
Slawski M, Hein M (2011) Sparse recovery by thresholded non-negative least squares. In: Shawe-Taylor J et al (ed) Advances in neural information processing systems 24, pp 1926–1934
Smith RS, Araneda RC (2010) Cholinergic modulation of neuronal excitability in the accessory olfactory bulb. J Neurophysiol 104(6):2963–2974CrossRef
Smear M et al (2011) Perception of sniff phase in mouse olfaction. Nature 479(7373):397–400CrossRef
Stocks NG (2000) Suprathreshold stochastic resonance in multilevel threshold systems. Phys Rev Lett 84(11):2310–2313CrossRef
Strotmann J (2001) Targeting of olfactory neurons. Cell Mol Life Sci CMLS 58:531–537CrossRef
Stocks NG (2001a) Suprathreshold stochastic resonance: an exact result for uniformly distributed signal and noise. Phys Lett A 279(5–6):308–312
Stocks NG (2001b) Information transmission in parallel threshold arrays: suprathreshold stochastic resonance. Phys Rev E 63(4):041114
Stowers L, Logan DW (2010) Sexual dimorphism in olfactory signaling. Curr Opin Neurobiol 20(6):770–775CrossRef
Stein RB, Gossen ER, Jones KE (2005) Neuronal variability: noise or part of the signal? Nat Rev Neurosci 6(5):389–397CrossRef
Spehr M et al (2006) Parallel processing of social signals by the mammalian main and accessory olfactory systems. Cell Mol Life Sci CMLS 63(13):1476–1484CrossRef
Sugai T et al (2005) Developmental changes in oscillatory and slow responses of the rat accessory olfactory bulb. Neuroscience 134(2):605–616MathSciNetCrossRef
Tank D, Hopfield JJ (1986) Simple ‘neural’ optimization networks: an A/D converter, signal decision circuit, and a linear programming circuit. IEEE Trans Circuits Syst 33(5):533–541CrossRef
Tazerart S, Vinay L, Brocard F (2008) The persistent sodium current generates pacemaker activities in the central pattern generator for locomotion and regulates the locomotor rhythm. J Neurosci 28(34):8577–8589CrossRef
Touhara K, Vosshall LB (2009) Sensing odorants and pheromones with chemosensory receptors. Annu Rev Physiol 71:307–332CrossRef
Tolokh II, Fu X, Holy TE (2013) Reliable sex and strain discrimination in the mouse vomeronasal organ and accessory olfactory bulb. J Neurosci 33(34):13903–13913CrossRef
Vassar R et al (1994) Topographic organization of sensory projection to the olfactory bulb. Cell 79:981–991CrossRef
Watta PB, Hassoun MH (1996) A coupled gradient network approach for static and temporal mixed-integer optimization. IEEE Trans Neural Netw 7(3):578–593CrossRef
Wachowiak M, Shipley MT (2006) Coding and synaptic processing of sensory information in the glomerular layer of the olfactory bulb. Semin Cell Dev Biol 17(4):411–423CrossRef
Wang F et al (1998) Odorant receptors govern the formation of a precise topographic map. Cell 93:47–60CrossRef
Wachowiak M, Denk W, Friedrich RW (2004) Functional organization of sensory input to the olfactory bulb glomerulus analyzed by two-photon calcium imaging. Proc Natl Acad Sci U S A 101(24):9097–9102CrossRef
Wagner S et al (2006) A multireceptor genetic approach uncovers an ordered integration of VNO sensory inputs in the accessory olfactory bulb. Neuron 50(5):697–709CrossRef
Wen U-P, Lan K-M, Shih H-S (2009) A review of Hopfield neural networks for solving mathematical programming problems. Eur J Oper Res 198(3):675–687MathSciNetCrossRefMATH
Zozor S, Amblard P-O, Duchêne C (2007) On pooling networks and fluctuation in suboptimal detection framework. Fluct Noise Lett 7(01):L39–L60CrossRef
Metadaten
Titel
An Information Theoretic Approach to Stimulus Processing in the Olfactory System
verfasst von
Martijn Arts
Rudolf Mathar
Marc Spehr
Copyright-Jahr
2018
Buch
Information- and Communication Theory in Molecular Biology

Print ISBN: 978-3-319-54728-2

Electronic ISBN: 978-3-319-54729-9

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-54729-9_16

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