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Pattern recognition in locust early olfactory circuits: Priming, gain control and coding issues

Citation

Backer, Alejandro (Alex) (2002) Pattern recognition in locust early olfactory circuits: Priming, gain control and coding issues. Dissertation (Ph.D.), California Institute of Technology. http://resolver.caltech.edu/CaltechETD:etd-11212002-185244

Abstract

Object recognition requires both specificity, to ensure that stimuli with distinct behavioral relevance are distinguished, and invariance, to ensure that different instances of the same stimulus are recognized as the same under varied conditions (intensity, pitch, position, ...). Psychophysical studies show that an odor can be perceived as identical over significant ranges of concentrations. Whether concentration invariance results, at least in part, from low-level neural phenomena rather than cognitive grouping is so far unknown. I explore, firstly, the contribution of projection neurons (PNs) in the antennal lobe of the locust, the analog of the vertebrate olfactory bulb, to the recognition of odor identity across concentrations; and secondly, what role spike timing, neuronal identity, and synchronization among neuronal assemblies play in the encoding and decoding of odor information by downstream neurons. I show the following: The locust can recognize odors, and shows innate olfactory preferences. PNs solve the task of encoding both odorant concentration and odorant identity, independently of the concentration, in three ways. First, by multiplexing information in different response dimensions using a code that involves neuronal identity, spike timing and synchronization across a neuronal assembly. Second, via a novel phenomenon of experience-dependent plasticity that contributes to PNs' invariance to concentration and sensitizes PNs after exposure to an odor at high concentration, contrary to the adaptation exhibited by receptors. Third, a phenomenon of gain control, whereby excitatory and inhibitory responses balance out massive changes in receptor activity as a function of odorant concentration, maintains the output of PNs within a small dynamic range. Response patterns sometimes exhibit stable representations over large composition ranges and then abrupt transitions as a function of concentration and mixture composition, suggesting the difference between "same" and "different" odors may be delineated by sharp boundaries in odor space. The physical chemistry of odorant reception confers the olfactory system invariance to odorant volatility, a physical property that has hitherto been believed to play a fundamental role in an odorant"s effectiveness. I compare the information present in multi-neuron assemblies using different neural codes, quantifying the information provided by each additional neuron, and show that codes that pool spikes across neurons lose a large fraction of the information present in their spike trains. This is due both to correlation in the noise across neurons and to loss of information encoded in the neuronal identity of a spike. Finally, although synchronization among PN assemblies does not augment stimulus information in PN temporal responses, it is necessary for the read-out of odor information by downstream neurons.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:learning; neurobiology; neuroscience; sensitization
Degree Grantor:California Institute of Technology
Division:Biology
Major Option:Biology
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Laurent, Gilles J.
Thesis Committee:
  • Koch, Christof (chair)
  • Schuman, Erin Margaret
  • Laurent, Gilles J.
  • Konishi, Masakazu
  • Perona, Pietro
Defense Date:26 April 2002
Author Email:alex (AT) alumni.caltech.edu
Record Number:CaltechETD:etd-11212002-185244
Persistent URL:http://resolver.caltech.edu/CaltechETD:etd-11212002-185244
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:4610
Collection:CaltechTHESIS
Deposited By: Imported from ETD-db
Deposited On:26 Nov 2002
Last Modified:28 Jul 2014 21:27

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