Neuronal filtering of multiplexed odour representations

Nature

Volumn 479, Issue 7374, 2011, Pages 493-498

  Blumhagen, Francisca ^a,e   Zhu, Peixin ^a   Shum, Jennifer ^a,f   Schärer, Yan Ping Zhang ^a   Yaksi, Emre ^b   Deisseroth, Karl ^c   Friedrich, Rainer W ^a,d  

^a FRIEDRICH MIESCHER INSTITUTE FOR BIOMEDICAL RESEARCH   (Switzerland)

^b Belgium   (Belgium)

^c Stanford University   (United States)

^d UNIVERSITY OF BASEL   (Switzerland)

^e Novartis Pharma GmbH   (Germany)

^f STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL ORGANELLE; CYPRINID; HOMOLOGY; MEMBRANE; NEUROLOGY; ODOR; OLFACTORY CUE; STEADY-STATE EQUILIBRIUM; TEMPORAL ANALYSIS;

ANIMAL CELL; ARTICLE; BRAIN REGION; CELL SUBPOPULATION; MITRAL CELL; NERVE CELL PLASTICITY; NERVE CONDUCTION; NONHUMAN; ODOR; OLFACTORY BULB; OLFACTORY CORTEX; OSCILLATION; PRIORITY JOURNAL; SPIKE; STEADY STATE; TELENCEPHALON; ZEBRA FISH;

ACTION POTENTIALS; ANIMALS; MODELS, NEUROLOGICAL; NEURONS; ODORS; OLFACTORY BULB; OLFACTORY PATHWAYS; PHOTIC STIMULATION; PHYSICAL STIMULATION; TIME FACTORS; ZEBRAFISH;

DANIO RERIO;

EID: 81855176465     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/nature10633     Document Type: Article

References (45)

1. Gerstner, W., Kreiter, A. K., Markram, H. & Herz, A. V. Neural codes: firing rates and beyond. Proc. Natl Acad. Sci. USA 94, 12740-12741 (1997).
2. Hutcheon, B. & Yarom, Y. Resonance, oscillation and the intrinsic frequency preferences of neurons. Trends Neurosci. 23, 216-222 (2000).
3. Fries, P. Neuronal gamma-band synchronization as a fundamental process in cortical computation. Annu. Rev. Neurosci. 32, 209-224 (2009).
4. Gütig, R. & Sompolinsky, H. The tempotron: a neuron that learns spike timingbased decisions. Nature Neurosci. 9, 420-428 (2006).
5. Laurent, G. Olfactory network dynamics and the coding of multidimensional signals. Nature Rev. Neurosci. 3, 884-895 (2002).
6. Rabinovich, M., Huerta, R. & Laurent, G. Transient dynamics for neural processing. Science 321, 48-50 (2008).
7. Buzsaki, G. & Draguhn, A. Neuronal oscillations in cortical networks. Science 304, 1926-1929 (2004).
8. Singer, W. Neuronal synchrony: a versatile code for the definition of relations? Neuron 24, 49-65 (1999).
9. Perez-Orive, J., Bazhenov, M. & Laurent, G. Intrinsic and circuit properties favor coincidence detection for decoding oscillatory input. J. Neurosci. 24, 6037-6047 (2004).
10. Perez-Orive, J. et al. Oscillations and sparsening of odor representations in the mushroom body. Science 297, 359-365 (2002).
11. Azouz, R. & Gray, C. M. Adaptive coincidence detection and dynamic gain control in visual cortical neurons in vivo. Neuron 37, 513-523 (2003).
12. Bruno, R. M. & Sakmann, B. Cortex is driven by weak but synchronously active thalamocortical synapses. Science 312, 1622-1627 (2006).
13. Gawne, T. J., Kjaer, T. W. & Richmond, B. J. Latency: another potential code for feature binding in striate cortex. J. Neurophysiol. 76, 1356-1360 (1996).
14. Hopfield, J. J. Pattern recognition computation using action potential timing for stimulus representation. Nature 376, 33-36 (1995).
15. Gollisch, T. & Meister, M. Rapid neural coding in the retina with relative spike latencies. Science 319, 1108-1111 (2008).
16. Junek, S., Kludt, E., Wolf, F. & Schild, D. Olfactory Coding with Patterns of Response Latencies. Neuron 67, 872-884 (2010).
17. Spors, H., Wachowiak, M., Cohen, L. B. & Friedrich, R. W. Temporal dynamics and latency patterns of receptor neuron input to the olfactory bulb. J. Neurosci. 26, 1247-1259 (2006).
18. Bathellier, B., Buhl, D. L., Accolla, R. & Carleton, A. Dynamic ensemble odor coding in the mammalian olfactory bulb: sensory information at different timescales. Neuron 57, 586-598 (2008).
19. Cury, K. M. & Uchida, N. Robust odor coding via inhalation-coupled transient activity in the mammalian olfactory bulb. Neuron 68, 570-585 (2010).
20. Maass, W., Natschlager, T. & Markram, H. Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput. 14, 2531-2560 (2002).
21. Sugase, Y., Yamane, S.,Ueno, S. & Kawano, K. Global and fine information coded by single neurons in the temporal visual cortex. Nature 400, 869-873 (1999).
22. Friedrich, R. W. & Laurent, G. Dynamic optimization of odor representations in the olfactory bulb by slow temporal patterning of mitral cell activity. Science 291, 889-894 (2001).
23. Ringach, D. L., Hawken, M. J. & Shapley, R. Dynamics of orientation tuning in macaque primary visual cortex. Nature 387, 281-284 (1997).
24. Friedrich, R. W., Habermann, C. J. & Laurent, G. Multiplexing using synchrony in the zebrafish olfactory bulb. Nature Neurosci. 7, 862-871 (2004).
25. Mazor, O. & Laurent, G. Transient dynamics versus fixed points in odor representations by locust antennal lobe projection neurons. Neuron 48, 661-673 (2005).
26. Yaksi, E., von Saint Paul, F., Niessing, J., Bundschuh, S. T. & Friedrich, R. W. Transformation of odor representations in target areas of the olfactory bulb. Nature Neurosci. 12, 474-482 (2009).
27. Miyamichi, K. et al. Cortical representations of olfactory input by trans-synaptic tracing. Nature 472, 191-196 (2011).
28. Nagel, G. et al. Channelrhodopsin-2, a directly light-gated cation-selective membrane channel. Proc. Natl Acad. Sci. USA 100, 13940-13945 (2003).
29. Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G. & Deisseroth, K. Millisecond timescale, genetically targeted optical control of neural activity. Nature Neurosci. 8, 1263-1268 (2005).
30. Zhu, P. et al. Optogenetic dissection of neuronal circuits in zebrafish using viral gene transfer and the Tet system. Front. Neural Circuits 3, 21 (2009).
31. Laurent, G. & Naraghi, M.Odorant-induced oscillations in the mush room bodies of the locust. J. Neurosci. 14, 2993-3004 (1994).
32. Pouille, F. & Scanziani, M. Enforcement of temporal fidelity in pyramidal cells by somatic feed-forward inhibition. Science 293, 1159-1163 (2001).
33. Franks, K. M. & Isaacson, J. S. Strong single-fiber sensory inputs to olfactory cortex: implications for olfactory coding. Neuron 49, 357-363 (2006).
34. Luna, V. M. & Schoppa, N. E. GABA ergic circuits control input-spike coupling in the piriform cortex. J. Neurosci. 28, 8851-8859 (2008).
35. Ketchum, K. L. & Haberly, L. B. Synaptic events that generate fast oscillations in piri form cortex. J. Neurosci. 13, 3980-3985 (1993).
36. 2+ imaging. Nature Methods 3, 377-383 (2006).
37. Friedrich, R. W. & Korsching, S. I. Combinatorial and chemotopic odorant coding in the zebrafish olfactory bulb visualized by optical imaging. Neuron 18, 737-752 (1997).
38. Niessing, J. & Friedrich, R. W. Olfactory pattern classification by discrete neuronal network states. Nature 465, 47-52 (2010).
39. Stokes, C. C. & Isaacson, J. S. From dendrite to soma: dynamic routing of inhibition by complementary interneuron microcircuits in olfactory cortex. Neuron 67, 452-465 (2010).
40. Poo, C. & Isaacson, J. S. Odor representations in olfactory cortex: "sparse" coding, global inhibition, and oscillations. Neuron 62, 850-861 (2009).
41. Stopfer, M., Jayaraman, V. & Laurent, G. Intensity versus identity coding in an olfactory system. Neuron 39, 991-1004 (2003).
42. Jortner, R. A., Farivar, S. S. & Laurent, G. A simple connectivity scheme for sparse coding in an olfactory system. J. Neurosci. 27, 1659-1669 (2007).
43. Spence, R., Gerlach, G., Lawrence, C. & Smith, C. The behaviour and ecology of the zebrafish, Danio rerio. Biol. Rev. Camb. Philos. Soc. 83, 13-34 (2008).
44. Engeszer, R. E., Patterson, L. B., Rao, A. A. & Parichy, D. M. Zebrafish in the wild: a review of natural history and new notes from the field. Zebrafish 4, 21-40 (2007).
45. Sato, Y., Miyasaka, N. & Yoshihara, Y.Mutually exclusive glomerular innervation by two distinct types of olfactory sensory neurons revealed in transgenic zebrafish. J. Neurosci. 25, 4889-4897 (2005).