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Abstract
The antennal lobe (AL), olfactory processing center in insects, is able to process stimuli into distinct neural activity patterns, called olfactory neural codes. To model their dynamics we perform multichannel recordings from the projection neurons in the AL driven by different odorants. We then derive a dynamic neuronal network from the electrophysiological data. The network consists of lateral-inhibitory neurons and excitatory neurons (modeled as firing-rate units), and is capable of producing unique olfactory neural codes for the tested odorants. To construct the network, we (1) design a projection, an odor space, for the neural recording from the AL, which discriminates between distinct odorants trajectories (2) characterize scent recognition, i.e., decision-making based on olfactory signals and (3) infer the wiring of the neural circuit, the connectome of the AL. We show that the constructed model is consistent with biological observations, such as contrast enhancement and robustness to noise. The study suggests a data-driven approach to answer a key biological question in identifying how lateral inhibitory neurons can be wired to excitatory neurons to permit robust activity patterns.
Highlights
In the olfactory system, neural codes take the form of spatial firing-rate (FR) patterns exhibited by the output neurons of the neural processing unit, the antennal lobe (AL) in insects and olfactory bulb (OB) in mammals (Laurent, 1999, 2002; Stopfer and Laurent, 1999; Galizia and Menzel, 2000; Riffell et al, 2009a)
They were established by the application of standard data analysis techniques, e.g., Principal Components Analysis (PCA), to the time series of FR responses recorded from the output neurons (Broome et al, 2006; Harris et al, 2011)
The neural cell assemblies participating in the processing of olfactory information in the AL are the receptor cells (RNs) that carry the input from the environment, the projection neurons (PNs), and local interneurons (LNs)
Summary
Neural codes take the form of spatial firing-rate (FR) patterns exhibited by the output neurons of the neural processing unit, the antennal lobe (AL) in insects and olfactory bulb (OB) in mammals (Laurent, 1999, 2002; Stopfer and Laurent, 1999; Galizia and Menzel, 2000; Riffell et al, 2009a) They were established by the application of standard data analysis techniques, e.g., Principal Components Analysis (PCA), to the time series of FR responses recorded from the output neurons (Broome et al, 2006; Harris et al, 2011). A hallmark of lateral inhibition is contrast enhancement, which signature is an increase in signal to noise ratio, such that the amplitude or frequency of the response is distinguished from the response to random stimuli (Laughlin and Osorio, 1989; Yokoi et al, 1995; Cook and McReynolds, 1998; Olsen and Wilson, 2008; Wilson, 2008)
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