Representations in rate and synchrony Stopfer M, Bhagavan S, Smith - - PowerPoint PPT Presentation

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Representations in rate and synchrony Stopfer M, Bhagavan S, Smith BH, and Laurent G. Impaired odour discrimination on desynchronization of odour-encoding neural assemblies. Nature 390: 70-74, 1997 Laurent, G. Dynamical representation of odors by

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Stopfer M, Bhagavan S, Smith BH, and Laurent G. Impaired odour discrimination

n desynchronization of odour-encoding neural assemblies. Nature 390: 70-74,

1997 Laurent, G. Dynamical representation of odors by oscillating and evolving neural

assemblies. Trends Neurosci. 1996 Nov;19(11):489-96. Review.

Representations in rate and synchrony

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http://www.springerimages.com/Images/LifeSciences/1-10.1007_s00049-009-0033-7-1

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http://www.sciencedirect.com/science/article/pii/S0166223698012363

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http://cognition.ups-tlse.fr/pami/pamiEn.html

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Sachse, Rappert, & Galizia, European Journal of Neuroscience 11 (11), 3970-3982. 0.0 0.2 0.4 0.6 0.8 1.0 Correlation between activity patterns Octanol - Nonanol Hexanol - Octanol Hexanol - Nonanol

Spatial

Rate code

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Percentage of bees responding to a test stimulus after conditioning is a measure of generalization between odorants. Conditioned Similar Dissimilar C S D

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Sachse, Rappert, & Galizia, European Journal of Neuroscience 11 (11), 3970-3982. 0.0 0.2 0.4 0.6 0.8 1.0 Correlation between activity patterns Octanol - Nonanol Hexanol - Octanol Hexanol - Nonanol Behavioral generalization

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0.0 0.2 0.4 0.6 0.8 1.0

Octanol - Nonanol Hexanol - Octanol Hexanol - Nonanol Correlation between activity patterns Behavioral generalization

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Synchronization

Temporal code

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Laurent G et al. J. Neurosci. 1996;16:3837-3847

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Projection Neuron (PN) Local Interneuron (LN) Inhibitory synapse Associative Neuron (AN)

Sucrose (US) activates AN Odor (CS) activates SNs

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PN PN

Cleland and Linster, Behav Neurosci. 2002 Apr;116(2):212-21.

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Computational Model of the Antennal Lobe - Odor induced oscillations

from: Stopfer et al., Nature 390, 1997. see also: Wehr and Laurent, Nature 384, 1996; MacLeod and Laurent, Science 274 , 1996. Weak input

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Strong input

1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 8 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 8

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Computational Model of the Antennal Lobe - Odor induced oscillations

from: Stopfer et al., Nature 390, 1997. see also: Wehr and Laurent, Nature 384, 1996; MacLeod and Laurent, Science 274 , 1996. Weak input

1 3 5 7 9

Strong input

1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 8 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 8

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1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1

Conditioned Similar Dissimilar

250 ms

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1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1

Conditioned Similar Dissimilar

250 ms

C S D

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Percentage of bees responding to a test stimulus after conditioning is a measure of generalization between odorants. Conditioned Similar Dissimilar C S D

SLIDE 23 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 8 1 0 1 2 1 4 1 6 1 8 2 0 2 2 2 4 2 6 2 8

If inhibition is blocked, oscillations and synchrony disappear

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In the model, odor-evoked oscillations and accompanying synchrony among AL neurons are concentration-dependent.

1 2 3 4 5 6 7 1 2 3 4 5 6 7

500 ms

No inhibition Inhibition This has been shown experimentally in the locust and honeybee antennal lobe

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