Abstract

The Drosophila antennal lobe is subdivided into multiple glomeruli, each of which represents a unique olfactory information processing channel. In each glomerulus, feedforward input from olfactory receptor neurons (ORNs) is transformed into activity of projection neurons (PNs), which represent the output. Recent investigations have indicated that lateral presynaptic inhibitory input from other glomeruli controls the gain of this transformation. Here, we address why this gain control acts “pre”-synaptically rather than “post”-synaptically. Postsynaptic inhibition could work similarly to presynaptic inhibition with regard to regulating the firing rates of PNs depending on the stimulus intensity. We investigate the differences between pre- and postsynaptic gain control in terms of odor discriminability by simulating a network model of the Drosophila antennal lobe with experimental data. We first demonstrate that only presynaptic inhibition can reproduce the type of gain control observed in experiments. We next show that presynaptic inhibition decorrelates PN responses whereas postsynaptic inhibition does not. Due to this effect, presynaptic gain control enhances the accuracy of odor discrimination by a linear decoder while its postsynaptic counterpart only diminishes it. Our results provide the reason gain control operates “pre”-synaptically but not “post”-synaptically in the Drosophila antennal lobe.

Highlights

  • Nervous systems need to correctly interpret sensory stimuli robustly across a wide variety of intensities

  • By using Drosophila antennal lobe as a model system, we investigated how different neural mechanisms of gain control can confer the olfactory system the ability to discriminate better between odors across a wide range of stimulus intensities

  • Previous studies suggested that horizontal scaling of the I-O relationship between Olfactory receptor neurons (ORNs) and projection neurons (PNs) within a glomerulus would be more advantageous than the vertical scaling (Luo et al, 2010; Olsen et al, 2010)

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Summary

Introduction

Nervous systems need to correctly interpret sensory stimuli robustly across a wide variety of intensities. Gain control properly regulates the response magnitude of sensory neurons in accordance with the stimulus intensity. The biophysical mechanisms of even the most intensively studied form of gain control in the primate primary visual cortex, is still under debate (Carandini and Heeger, 2011). Detailed cellular and synaptic mechanisms of such a gain control in vivo were recently reported in the Drosophila antennal lobe, an analog of the vertebrate olfactory bulb (Olsen and Wilson, 2008; Root et al, 2008; Olsen et al, 2010). Olfactory processing is attractive given the detailed wiring diagram of the circuit as well as genetic and physiological accessibility to identified neurons forming the circuit. Feedforward ORN input is nonlinearly transformed into PN output in a glomerulus (Wilson et al, 2004; Bhandawat et al, 2007; Kazama and Wilson, 2008)

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