Chem. Senses 26: 577-584,
2001
© Oxford University Press 2001
SYMPOSIUM: AChemS XXII Symposium |
Receptive Fields in the Rat Piriform Cortex
Department of Zoology, University of Oklahoma, Norman, OK 73019, USA
Correspondence to be sent to: Donald A. Wilson, Department of Zoology, University of Oklahoma, Norman, OK 73019, USA. e-mail: dwilson{at}ou.edu
Abstract
Current models of odor discrimination in mammals involve molecular feature detection by a large family of diverse olfactory receptors, refinement of molecular feature extraction through precise projections of olfactory receptor neurons to the olfactory bulb to form an odor-specific spatial map of molecular features across glomerular layer, and synthesis of these features into odor objects within the piriform cortex. This review describes our recent work on odor and spatial receptive fields within the anterior piriform cortex and compares these fields with receptive fields of their primary afferent, olfactory bulb mitral/tufted cells. The results suggest that receptive fields in the piriform cortex are ensemble in nature, highly dynamic, and may contribute to odor discrimination and odor memory.
Introduction
A receptive field can be defined as that portion of the sensory world (or range of specific energies) to which a neuron responds (Hartline, 1938
; Mountcastle, 1957). Depending on the sensory system, receptive fields can be described in terms of location on the body surface, a range of frequencies of vibrations induced in the inner ear, a range of wavelengths or spatial locations of light impinging on the retina, or a set of odorant molecules contacting the olfactory receptor sheet. In the classic view, receptive fields of peripheral neurons divide a sensory stimulus into components or features which can be assembled through convergence into more complex receptive fields in higher order neurons (Hubel and Wiesel, 1962) and/or through binding within oscillatory networks resulting in perceptual wholes (Singer, 1999).
In most sensory systems, receptive fields can be described along rational, or at least ordinal, scales, wherein relationships between stimuli (and between receptive fields) can be quantified and relatively easily organized. Identification of retinotopic, tonotopic and somatotopic maps of cortical receptive fields are an obvious consequence of these quantifiable stimuli, and have provided great insight into how those sensory systems (e.g. mammalian thalamocortical sensory systems) function. It should also be noted that receptive fields of a single neuron may be described along more than one dimension; for example, a visual cortical neuron may have a binocular or monocular receptive field (dimension 1) for contrast edges of a particular range of orientations (dimension 2).
A hindrance to understanding the olfactory system has been the relative lack of insight into what the appropriate scalar is for describing odorant molecules (Wise et al., 2000) and, in turn, describing olfactory neuron receptive fields. It has been unclear along what dimension or with what features the olfactory system operates to discriminate and respond to odors (Amoore, 1970). However, since the relatively recent discoveries that olfactory receptor neurons express one of a large set of G-protein-coupled odor receptor proteins and that receptor neurons expressing similar proteins project in a precise manner to converge on individual main olfactory bulb (MOB) glomeruli [for reviews see Shepherd and Buck (Shepherd, 1994; Buck, 1996)], there has been significant progress toward identifying the dimensions and units of odor space. For example, recent work has extended older work (Dethier, 1954; Doving, 1966; Cain, 1970) to suggest that carbon chain length, structural conformation and the presence of functional groups, such as hydroxyl and carboxyl groups, may be important molecular features recognized by olfactory receptors and encoded by MOB neurons (Sato et al., 1994; Mori and Yoshihara, 1995; Malnic et al., 1999; Rubin and Katz, 1999; Johnson and Leon, 2000; Scott et al., 2000).
Specifically, receptive fields of both olfactory receptor neurons and olfactory bulb mitral/tufted cells have been mapped along the dimension of carbon chain length of specific organic molecules. Individual mammalian olfactory receptor neurons (Sato et al., 1994; Malnic et al., 1999) and mitral/tufted cells (Imamura et al., 1992; Yokoi et al., 1995) respond with excitation to sequential series of carbon chain lengths with longer and shorter chains outside of the cell’s receptive field. In mitral/tufted cells, these receptive fields often include inhibitory surrounds (Meredith, 1986; Wilson and Leon, 1987) to the longest and shortest effective stimuli (Yokoi et al., 1995; Mori et al., 1999).
Most detailed models of primary olfactory (piriform) cortex function were developed prior to the discovery of the large olfactory receptor gene family and subsequent molecular mapping of receptor projections to the MOB (Haberly 1985; Lynch, 1986; Bower, 1991). However, in general these models include the concept of convergence of information about odor features (or odor mixture components) via afferent and/or association fibers onto individual piriform cortex neurons. Theoretical receptive fields of these cortical neurons, then, include ensembles of molecular features (or odors) resulting in the ability to discriminate between ‘whole’ odors. These models also include a strong plasticity component that is important not only for olfactory memory, but also for the association of particular components within the odor ensemble to be discriminated (Haberly 1985; Lynch, 1986; Bower, 1991).
The present review briefly describes recent descriptions of receptive fields and receptive field plasticity in the rat anterior piriform cortex (aPCX) from our laboratory. These aPCX receptive fields are compared with receptive fields in mitral/tufted cells and with cortical receptive fields in thalamocortical systems in order to extract basic similarities and differences between sensory receptive fields in the olfactory system and thalamocortical systems.
Functional Anatomy of Rat aPCX
The mammalian primary olfactory cortex differs substantially from other mammalian sensory systems in several ways that could result in important differences in cortical receptive fields. First, there is no thalamic relay between initial central processing and the olfactory cortex. In thalamocortical systems, the thalamic relay can sharpen sensory information through response amplification and enhanced lateral inhibition before the information enters the cortex (Sherman, 1993). This thalamic processing could thus help refine cortical receptive fields. A second major difference between the olfactory system and thalamocortical systems is that piriform cortex anatomy (see below) results in a spatial and temporal wave of afferent activation of the cortex, rather than the more synchronous activation produced by thalamic input to other sensory cortices. The dynamics and mechanisms of this input wave have been described (Ketchum and Haberly, 1993). However, the consequences of wave activation on cortical receptive fields have not yet been explored, but may be expected to have significant effects on local intracortical interactions, such as potential inhibitory surrounds.
In contrast to these two differences between olfactory cortex and thalamocortical systems, there are a number of important similarities. As in thalamocortical systems, where there are cortico-thalamic feedback systems, there is strong cortical-olfactory bulb feedback. In fact, the majority of centrifugal input to the olfactory bulb comes from olfactory cortical areas (Haberly, 1998). Feedback of this sort can allow rapid, experience-dependent changes in gain control and receptive field dynamics of the more peripheral structure, which in turn can influence subsequent cortical receptive fields [e.g. the visual system (Murphy and Sillito, 1987; Cudeiro et al., 2000)]. The second major similarity between the olfactory cortex and thalamocortical systems is the presence of strong cortico-cortical associational connections. Association fibers in the visual system, for example, connect individual cortical columns, as well as whole cortical regions such as primary and secondary visual cortices. In the olfactory cortex, association systems also connect both proximal and distal regions of the cortex, and are bidirectional (Haberly and Price, 1978; Datiche et al., 1996).
Excellent descriptions of piriform cortex anatomy exist (Shipley and Ennis, 1996; Haberly, 1998), thus only a brief outline is included here. The piriform cortex is a three-layered cortical structure, with the primary input consisting of mitral cell axons forming the lateral olfactory tract (LOT) which runs along the cortical surface. LOT axons branch and terminate in superficial layer I (Ia) on apical dendrites of the principal cortical neurons, and superficial (somas in layer II) and deep (somas in layer III) pyramidal neurons. A third class of pyramidal-like neurons is the semilunar neurons, with cell bodies located in superficial layer II, no basal dendrites, and multiple apical dendrites extending into layer Ia. Association and commissural inputs terminate on cortical pyramidal cell apical dendrites in layer Ib and basal dendrites in III. A number of different interneurons exist in both layers I and III.
Odor responses in layer II/III neurons are short-latency and, in awake (McCollum et al., 1991) or urethane-anesthetized rats (Wilson, 1998a), most commonly excitatory (Figure 1). Intracellular recordings reveal large odor-evoked depolarizations (Nemitz and Goldberg, 1983; Wilson, 1998a), in phase with the respiratory cycle (Wilson, 1998a). These depolarizing post-synaptic potentials can evoke single or multiple action potentials, with instantaneous frequencies within odor-evoked spike trains generally of 50–100 Hz, although occasionally reaching 300 Hz (Wilson, 1998a). Subthreshold oscillations of 
30–60 Hz can also sometimes be observed riding respiratory-entrained post-synaptic potentials (Figure 1).
|
Spatial Receptive Fields in Rat aPCX
Cortical spatial receptive fields have been described most thoroughly in the somatosensory and visual systems. Within these systems, cortical responses are dependent not only on the quality (e.g. light touch/deep touch, or wavelength) of the stimulation, but also on the spatial location of the stimulus on the receptor sheet. Spatial receptive fields can contribute to both stimulus localization and stimulus identification.
In the olfactory system, given the nature of stimulus access to the receptor sheet and the intermixed spatial distributions of receptor proteins across the receptor sheet (Ressler et al., 1993; Vassar et al., 1993), olfactory cortical spatial receptive fields would appear less useful. However, each olfactory receptor sheet is divided into different zones, each expressing a different subpopulation of receptor proteins and projecting to roughly segregated regions of the MOB. Furthermore, there are two separate olfactory receptor sheets (left and right nasal passages) which are relatively well isolated from each other. Thus, the anatomical basis for cortical spatial receptive fields does exist in the olfactory system. We have begun examining spatial receptive fields in aPCX by describing the ability of aPCX neurons to discriminate ipsilateral and contralateral odor stimulation (binaral receptive fields).
Description
The commissural inputs to aPCX (see above) are sufficient to drive odor responses in aPCX single-units (Wilson, 1997). Odor responses can be evoked in aPCX layer II/III single-units by unilateral stimulation of the contralateral naris or by bilateral odor stimulation following reversible lesions of the ipsilateral MOB (Wilson, 1997). Based upon responses to unilaterally delivered odors, at least four categories of spatial receptive fields can be described in aPCX neurons. Individual cells may respond selectively to ipsilateral stimulation, selectively to contralateral stimulation, to either ipsi- or contralateral stimulation or require bilateral stimulation. With the odor set used by us (Wilson, 1997), each of these spatial receptive field categories were approximately equally represented in aPCX (Figure 2).
|
The anatomical bases for differential spatial receptive fields is not known. Cells selectively responsive to ipsilateral stimulation, however, may belong to the semilunar class of pyramidal-like neurons. These superficial layer II neurons have large dendritic spines concentrated within layer Ia, and thus presumably receive primarily ipsilateral LOT input (Haberly, 1983
). In fact, survival of semilunar neurons requires ipsilateral LOT input. Ipsilateral olfactory bulb lesions or LOT sectioning results in selective apoptosis of semilunar neurons within hours (Heimer and Kalil, 1978; Lopez-Mascaraque and Price, 1997), with no detected effect on contralateral neurons.
The role of aPCX binaral spatial receptive fields in odor processing is also not known. Humans appear incapable of localizing unilaterally delivered, purely olfactory stimulation to one nasal passage or the other (Kobal et al., 1989). Rats, which have laterally directed external nares and respiratory airflow (Wilson and Sullivan, 1999), and can follow odor trails, could potentially use bilateral comparisons of odor intensity or quality to localize odorants. Other potential roles of binaral spatial receptive fields include signal amplification (Bennett, 1968) and bilateral access to olfactory memories (Kucharski and Hall, 1987).
In addition to demonstrating that commissural connections are capable of driving odor responses in the aPCX, the existence of at least four distinct categories of binaral spatial receptive fields suggests a potentially high degree of specificity in local afferent terminations within the aPCX. In fact, mitral cell afferents to the ipsilateral aPCX show patchy termination patterns (Ojima et al., 1984; Buonviso et al., 1991), and recent mapping of c-fos immunoreactivity in response to odors suggests odor-specific spatial patterns of activity within the aPCX (Illig and Haberly, 2000). Given that different odors evoke unique spatial patterns of activity across the olfactory bulb (Jourdan et al., 1980; Guthrie et al., 1993; Mori et al., 1999; Rubin and Katz, 1999; Johnson and Leon, 2000; Xu et al., 2000), aPCX neurons may also demonstrate ‘spatial receptive fields’ for activity within the olfactory bulb. Thus, differential odor responsiveness may in fact be indicative of a form of spatial receptive field wherein individual aPCX neurons are differentially responsive to specific spatial locations within the olfactory bulb, in addition to the observed differential responsiveness between olfactory bulbs.
Plasticity
Spatial receptive fields in both the somatosensory and visual systems can be modified by experience (Buonomano and Merzenich, 1998). Functional plasticity of spatial receptive fields in aPCX has not been examined, although neuro-anatomical data suggest a basis for experience-dependent plasticity. For example, the relative width of layers Ia (ipsilateral LOT fibers) and Ib (associational/commissural fibers) can be modified by olfactory bulb or LOT lesions during development. Olfactory bulb lesions in neonates results in a reduction of layer Ia width and a compensatory increase in width of layer Ib (Friedman and Price, 1986; Westrum and Bakay, 1986). Similar, though less dramatic, results can be produced with unilateral olfactory deprivation during development (Wilson et al., 2000). Furthermore, unilateral olfactory deprivation reduces dendritic complexity of ipsilateral semilunar neurons (Wilson et al., 2000). These activity-dependent changes in both presynaptic termination zones and post-synaptic dendritic targets could have significant effects on spatial receptive fields in the aPCX.
Molecular Receptive Fields in Rat aPCX
Description
Work on a variety of species has shown that neurons in the olfactory cortex respond to multiple, diverse odors (Haberly, 1969; Tanabe et al., 1975; Nemitz and Goldberg, 1983; McCollum et al., 1991; Duchamp-Viret et al., 1996; Wilson, 2000a). A complete description of aPCX neuron molecular receptive fields, such as that performed with olfactory receptor neuron (Sato et al., 1994; Malnic et al., 1999; Kaluza and Breer, 2000) and mitral cell (Imamura et al., 1992) responses to homologous series of organic compounds with different functional groups, has not been done at this time. However, as shown in Figure 3, stimulation with alkane odorants reveals that, similar to mitral cells, aPCX neurons can discriminate odors based on carbon chain length (Wilson, 2000a). Mitral cells with similar molecular receptive fields are spatially organized within the olfactory bulb, such that particular spatial locations within the olfactory bulb are somewhat more responsive to one class of odor than to another (Mori et al., 1999). At present it is unknown whether there is any spatial organization or clustering of aPCX neurons with similar molecular receptive fields, although recent c-fos mapping suggests there may be (Illig and Haberly, 2000).
|
An important difference between mitral cell and aPCX neuron molecular receptive fields appears to be how the receptive fields are derived. Mitral cells appear to respond to particular molecular features, and thus may respond to many odors if each of those odors contains the appropriate feature, similar to proposed ORN responses (Sato et al., 1994
; Malnic et al., 1999). Cross-habituation studies (Figure 4) show that mitral cells demonstrate strong cross-habituation between alkane odors (Wilson, 2000b), as would be expected if mitral cells are simply responding to the presence of a single feature that both odors have in common. aPCX neurons, on the other hand, appear to respond to multiple odors as independent stimuli. Thus, in cross-habituation studies in the aPCX there is minimal cross-habituation between alkane odors (Wilson, 2000a,b), or even between binary mixtures and their components (Wilson, 2000a).
|
This underlying difference in molecular receptive fields of mitral and aPCX neurons may be derived from the difference in afferent input to these two cells types, and, in fact, could be predicted from olfactory cortex models (Haberly 1985
; Lynch, 1986; Bower, 1991). That is, mitral cells receive afferent input from a single glomerulus that is the target of receptor neurons primarily expressing the same receptor gene (Ressler et al., 1994; Vassar et al., 1994) with potentially similar or identical molecular receptive fields (Bozza and Kauer, 1998). Thus, if receptor neurons and their associated mitral cells respond to a set of odors because each member of that set contains a similar molecular feature, then habituation to that feature should reduce responsiveness to all members of the set (strong cross-habituation). On the other hand, the piriform cortex has been proposed to act as a combinatorial array, with each neuron responding to a particular odor due to its unique combination of features [the odor-specific pattern of activated glomeruli and the convergence of mitral cell axons (Haberly 1985; Lynch, 1986; Bower, 1991; Mori et al., 1999)]. That is, the piriform cortex odor response is dependent on the combination of features, not a single feature. Thus, habituation to one combination (one odor) should have relatively little effect on other combinations (weak cross-habituation). Association fibers within the cortex (Haberly 1985; Bower, 1991; Hasselmo and Bower, 1992) and feedback to the olfactory bulb could further enhance the difference between different input combinations. Behavioral work supports this view of ensemble coding in piriform cortex. Lesions of the piriform cortex impair discrimination/memory of complex odor cues but have no effect on simple odor cue discrimination/memory (Staubli et al., 1987). Plasticity
Molecular receptive fields of aPCX neurons can be rapidly and selectively modified by experience. In both awake (McCollum et al., 1991) and anesthetized (Wilson, 1998a) rats, aPCX neuron response to odors habituates rapidly. This habituation can occur despite relatively maintained input from mitral cells (Wilson, 1998a). One potential mechanism of this rapid filtering of mitral cell input by aPCX neurons is synaptic depression of LOT inputs to aPCX neurons that is correlated with odor habituation (Wilson, 1998b). A similar mechanism has been proposed at thalamocortical synapses in the visual system to account for habituation to contrast gratings (Finlayson and Cynader, 1995). Association fibers are also capable of experience-dependent plasticity (Kanter and Haberly, 1990; Hasselmo and Barkai, 1995; Stripling and Patneau, 1999); however, their role in odor response plasticity has not been examined.
As noted above, the habituation in aPCX is highly odor specific. Stimulus-specific habituation has been reported in other sensory cortices, such as the auditory cortex (Weinberger, 1995). This specificity could be important for filtering background odorants while allowing maintained response to dynamic, biologically relevant stimuli (Dalton, 2000). Odor-specific plasticity such as this may also play a role in storing odor memories, and in experience-dependent shaping of odor receptive fields. It should be noted that the studies described here have used odor stimuli that are novel to the animals tested. Receptive fields for odors that have acquired significance through associative conditioning or other behaviorally relevant exposure may have different properties than those described here (Wilson et al., 1987).
Conclusions
As in thalamocortical sensory systems, primary olfactory (piriform) cortex neurons display classic receptive fields. These receptive fields map properties along both spatial and molecular dimensions. The molecular receptive fields are dynamic and capable of experience-dependent plasticity that is highly odor specific. Both the time-course and odor specificity of aPCX receptive field plasticity differ from that expressed by the primary cortical afferent, mitral cells, which suggests a form of higher order processing within the aPCX. Based on cross-habituation studies, aPCX neurons appear to be capable of much greater odor discrimination than olfactory bulb mitral cells and appear to display synthetic or combinatorial characteristics.
In thalamocortical sensory systems, cells expressing similar receptive fields are located near to each other within the cortex, resulting in organizations such as somatotopic or retinotopic maps. Odotopic maps for molecular features have been described in the mammalian MOB (Xu et al., 2000). At present, it is unknown whether similar odotopic maps exist within the piriform cortex (Cattarelli et al., 1988), although recent work using c-fos immunohistochemistry and stimulation patterns designed to avoid habituation suggest that odor-specific spatial patterns of aPCX may occur (Illig and Haberly, 2000).
Finally, in addition to odor sensitivity, activity within the piriform cortex is also influenced by neuromodulatory input from the horizontal limb of the diagonal band [acetylcholine (Hasselmo and Bower, 1992; Linster et al., 1999; Chabaud et al., 2000)], the locus coeruleus [norepinephrine (Datiche and Cattarelli, 1996; Hasselmo et al., 1997)] and a variety of other state-dependent or sensory inputs (Schoenbaum and Eichenbaum, 1995; Chabaud et al., 2000). How these diverse inputs combine to shape and modulate receptive fields and odor processing in primary olfactory cortex remains to be explored.
Acknowledgments
Work described in this review was supported by grants to DAW from DC03906 from NIDCD and IBN9808149 from NSF.
References
Amoore, J.E. (1970) Molecular Basis of Odor. Charles C. Thomas, Springfield, IL.
Bennett, M.H. (1968) The role of the anterior limb of the anterior commissure in olfaction. Physiol. Behav., 3, 507–515.
Bower, J.M. (1991) Piriform cortex and olfactory object recognition. In Davis, J.L. and Eichenbaum, H. (eds), Olfaction: A Model System for Computational Neuroscience. MIT Press, Cambridge, MA, pp. 265–285.
Bozza, T.C. and Kauer, J.S. (1998) Odorant response properties of convergent olfactory receptor neurons. J. Neurosci., 18, 4560–4569.
Buck, L. (1996) Information coding in the vertebrate olfactory system. Ann. Rev. Neurosci., 19, 517–544.[ISI][Medline]
Buonomano, D.V. and Merzenich, M.M. (1998) Cortical plasticity: From synapses to maps. Ann Rev. Neurosci., 21, 149–186.[ISI][Medline]
Buonviso, N., Revial, M.F. and Jourdan, F. (1991) The projections of mitral cells from small local regions of the olfactory bulb: an anterograde tracing study using small PHA-L (Phaseolus vulgaris leucoagglutinin). Eur. J. Neurosci., 3, 493–500.[ISI][Medline]
Cain, W.S. (1970) Odor intensity after self-adaptation and cross-adaptation. Percept. Psychophys., 7, 271–275.
Cattarelli, M., Astic, L. and Kauer, J.S. (1988) Metabolic mapping of 2-deoxyglucose uptake in the rat piriform cortex using computerized image processing. Brain Res., 442, 180–184.[ISI][Medline]
Chabaud, P., Ravel, N., Wilson, D.A., Mouly, A.M., Vigouroux, M., Farget, V. and Gervais, R. (2000) Exposure to behaviourally relevant odour reveals differential characteristics in central rat olfactory pathways as studied through oscillatory activities. Chemical Senses, 25, 561–573.
Cudeiro, J., Rivadulla C. and Grieve, K.L. (2000) Visual response augmentation in cat (and macaque) LGN: potentiation by corticofugally mediated gain control in the temporal domain. Eur. J. Neurosci., 12, 1135–1144.[ISI][Medline]
Dalton, P. (2000) Psychophysical and behavioral characteristics of olfactory adaptation. Chem Senses, 25, 487–492.
Datiche, F. and Cattarelli, M. (1996) Catecholamine innervation of the piriform cortex: a tracing and immunohistochemical study in the rat. Brain Res., 710, 69–78.[ISI][Medline]
Datiche, F., Litaudon, P. and Cattarelli, M. (1996) Intrinsic association fiber system of the piriform cortex: a quantitative study based on a cholera toxin B subunit tracing in the rat. J. Comp Neurol., 376, 265–277.[ISI][Medline]
Dethier, V.G. (1954) Olfactory responses of blowflies to aliphatic aldehydes. J. Gen. Physiol., 37, 743–751.
Doving, K.B. (1966) An electrophysiological study of odour similarities of homologous substances. J. Physiol., 186, 97–109.[ISI]
Duchamp-Viret, P., Palouzier-Paulignan, B. and Duchamp, A. (1996) Odor coding properties of frog olfactory cortical neurons. Neuroscience, 74, 885–895.[ISI][Medline]
Finlayson, P.G. and Cynader, M.S. (1995) Synaptic depression in visual cortex tissue slices: an in vitro model for cortical neuron adaptation. Exp. Brain Res., 106, 145–155.[ISI][Medline]
Friedman, B. and Price, J.L. (1986) Plasticity in the olfactory cortex: age-dependent effects of deafferentation. J. Comp Neurol., 246, 1–19.[ISI][Medline]
Guthrie, K.M., Anderson, A.J., Leon, M. and Gall, C. (1993) Odor-induced increases in c-fos mRNA expression reveal an anatomical ‘unit’ for odor processing in olfactory bulb. Proc. Natl Acad. Sci. USA, 90, 3329–3333.
Haberly, L.B. (1969) Single-unit responses to odors in the prepyriform cortex of the rat. Brain Res., 12, 481–484.[ISI][Medline]
Haberly, L.B. (1983) Structure of the piriform cortex of the opossum. I. Description of neuron types with Golgi methods. J. Comp. Neurol., 213, 163–187.[ISI][Medline]
Haberly, L.B. (1985) Neuronal circuitry in olfactory cortex: anatomy and functional implications. Chem. Senses, 10, 219–238.
Haberly, L.B. (1998) Olfactory cortex. In Shepherd, G.M. (ed.), The Synaptic Organization of the Brain. Oxford University Press, New York, pp. 377–416.
Haberly, L.B. and Price, J.L. (1978) Association and commissural fiber systems of the olfactory cortex of the rat: I. Systems originating in the piriform cortex and adjacent areas. J. Comp. Neurol., 178, 711–740.[ISI][Medline]
Hartline, H.K. (1938) Response of single optic nerve fibers of the vertebrate eye to illumination of the retina. Am. J. Physiol., 121, 400–415.
Hasselmo, M.E. and Barkai, E. (1995) Cholinergic modulation of activity-dependent synaptic plasticity in the piriform cortex and associative memory function in a network biophysical simulation. J. Neurosci., 15, 6592–6604.
Hasselmo, M.E. and Bower, J.M. (1992) Cholinergic suppression specific to intrinsic not afferent fiber synapses in rat piriform (olfactory) cortex. J. Neurophysiol., 67, 1222–1229.
Hasselmo, M.E., Linster, C., Patil, M., Ma, D. and Cekic, M. (1997) Noradrenergic suppression of synaptic transmission may influence cortical signal-to-noise ratio. J. Neurophysiol., 77, 3326–3339.
Heimer, L. and Kalil, R. (1978) Rapid transneuronal degeneration and death of cortical neurons following removal of the olfactory bulb in adult rats. J. Comp. Neurol., 178, 559–610.[ISI][Medline]
Hubel, D.H. and Wiesel, T.N. (1962) Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex. J. Physiol., 160, 106–154.
Illig, K.R. and Haberly, L.B. (2000) Odor-specific regional activation of rat piriform cortex. Association for Chemoreception Sciences Abstracts, 31.
Imamura, K., Mataga, N. and Mori, K. (1992) Coding of odor molecules by mitral/tufted cell in rabbit olfactory bulb. I. Aliphatic compounds. J. Neurophysiol., 68, 1986–2002.
Johnson, B.A. and Leon, M. (2000) Modular representations of odorants in the glomerular layer of the rat olfactory bulb and the effects of stimulus concentration. J. Comp. Neurol., 422, 496–509.[ISI][Medline]
Jourdan, F., Duveau, A., Astic, L. and Holley, A. (1980) Spatial distribution of [14C] 2-deoxyglucose uptake in the olfactory bulbs of rats stimulated with two different odours. Brain Res., 188, 139–154.[ISI][Medline]
Kaluza, J.F. and Breer, H. (2000) Responsiveness of olfactory neurons to distinct aliphatic aldehydes. J. Exp. Biol., 203, 927–933.[Abstract]
Kanter, E.D. and Haberly, L.B. (1990) NMDA-dependent induction of long-term potentiation in afferent and association fiber systems of piriform cortex in vitro. Brain Res., 525, 175–179.[ISI][Medline]
Ketchum, K.L. and Haberly, L.B. (1993) Membrane currents evoked by afferent fiber stimulation in rat piriform cortex. I. Current source–density analysis. J. Neurophysiol., 69, 248–260.
Kobal, G., Van Toller, S. and Hummel, T. (1989) Is there directional smelling? Experientia, 45, 130–132.[ISI][Medline]
Kucharski, D. and Hall, W.G. (1987) New routes to early memories. Science, 238, 786–788.
Linster, C., Wyble, B. and Hasselmo, M.E. (1999) Modulation of synaptic potentials in the piriform cortex by electrical stimulation of the horizontal limb of the diagonal band of Broca. J. Neurophysiol., 81, 2737–2742.
Lopez-Mascaraque, L. and Price, J.L. (1997) Protein synthesis inhibitors delay transneuronal death in the piriform cortex of young adult rats. Neuroscience, 79, 463–475.[ISI][Medline]
Lynch, G. (1986) Synapses, Circuits and the Beginnings of Memory. MIT Press, Cambridge, MA.
Malnic, B., Hirono, J., Sato, T. and Buck, L.B. (1999) Combinatorial receptor codes for odors. Cell, 96, 713–723.[ISI][Medline]
McCollum, J., Larson, J., Otto, T., Schottler, F., Granger, R. and Lynch, G. (1991) Short-latency single-unit processing in olfactory cortex. J. Cogn. Neurosci., 3, 293–299.
Meredith, M. (1986) Patterned response to odor in mammalian olfactory bulb: the influence of intensity. J. Neurophysiol., 56, 572–597.
Mori, K. and Yoshihara, Y. (1995) Molecular recognition and olfactory processing in the mammalian olfactory system. Prog. Neurobiol., 45, 585–619.[ISI][Medline]
Mori, K., Nagao, H. and Yoshihara, Y. (1999) The olfactory bulb: coding and processing of odor molecule information. Science, 286, 711–715.
Mountcastle, V.B. (1957) Modality and topographic properties of single neurons of the cat’s somatic sensory cortex. J. Neurophysiol., 20, 408–434.
Murphy, P.C. and Sillito, A.M. (1987) Corticofugal feedback influences the generation of length tuning in the visual pathway. Nature, 329, 727–729.[Medline]
Nemitz, J.W. and Goldberg, S.J. (1983) Neuronal responses of rat pyriform cortex to odor stimulation: an extracellular and intracellular study. J. Neurophysiol., 49, 188–203.
Ojima, H., Mori, K. and Kishi, K. (1984) The trajectory of mitral cell axons in the rabbit olfactory cortex revealed by intracellular HRP injection. J. Comp. Neurol., 230, 77–87.[ISI][Medline]
Ressler, K.J., Sullivan, S.L. and Buck, L.B. (1993) A zonal organization of odorant receptor gene expression in the olfactory epithelium. Cell, 73, 597–609.[ISI][Medline]
Ressler, K.J., Sullivan, S.L. and Buck, L.B. (1994) Information coding in the olfactory system: evidence for a stereotyped and highly organized epitope map in the olfactory bulb. Cell, 79, 1245–1255.[ISI][Medline]
Rubin, B.D. and Katz, L.C. (1999) Optical imaging of odorant representations in the mammalian olfactory bulb. Neuron, 23, 499–511.[ISI][Medline]
Sato, T., Hirono, J., Tonoike, M. and Takebayashi, M. (1994) Tuning specificities to aliphatic odorants in mouse olfactory receptor neurons and their local distribution. J. Neurophysiol., 72, 2980–2989.
Schoenbaum, G. and Eichenbaum, H. (1995) Information coding in the rodent prefrontal cortex. I. Single-neuron activity in orbitofrontal cortex compared with that in pyriform cortex. J. Neurophysiol., 74, 733–750.
Scott, J.W., Brierley, T. and Schmidt, F.H. (2000) Chemical determinants of the rat electro-olfactogram. J. Neurosci., 20, 4721–4731.
Shepherd, G.M. (1994) Discrimination of molecular signals by the olfactory receptor neuron. Neuron, 13, 771–790.[ISI][Medline]
Sherman, S.M. (1993) Dynamic gating of retinal transmission to the visual cortex by the lateral geniculate nucleus. In Minciacchi, D., Molinari, M., Macchi, G. and Jones, E.G. (eds), Thalamic Networks for Relay and Modulation. Pergamon Press, New York, pp. 61–79.
Shipley, M.T. and Ennis, M. (1996) Functional organization of the olfactory system. J. Neurobiol., 30, 123–176.[ISI][Medline]
Singer, W. (1999) Neuronal synchrony: a versatile code for the definition of relations? Neuron, 24, 49–65.[ISI][Medline]
Staubli, U., Schottler, F. and Nejat-Bina, D. (1987) Role of dorsomedial thalamic nucleus and piriform cortex in processing olfactory information. Behav. Brain Res., 25, 117–129.[ISI][Medline]
Stripling, J.S. and Patneau, D.K. (1999) Potentiation of late components in olfactory bulb and piriform cortex requires activation of cortical association fibers. Brain Res., 841, 27–42.[ISI][Medline]
Tanabe, T., Iino, M. and Takagi, S.F. (1975) Discrimination of odors in olfactory bulb, pyriform-amygdaloid areas, and orbitofrontal cortex of the monkey. J. Neurophysiol., 38, 1284–1296.
Vassar, R., Ngai, J. and Axel, R. (1993) Spatial segregation of odorant receptor expression in the mammalian olfactory epithelium. Cell, 74, 309–318.[ISI][Medline]
Vassar, R., Chao, S.K., Sitcheran, R., Nunez, J.M., Vosshall, L.B. and Axel, R. (1994) Topographic organization of sensory projections to the olfactory bulb. Cell, 79, 981–991.[ISI][Medline]
Weinberger, N.M. (1995) Dynamic regulation of receptive fields and maps in the adult sensory cortex. Annu. Rev. Neurosci., 18, 129–158.[ISI][Medline]
Westrum, L.E. and Bakay, R.A.E. (1986) Plasticity in the rat olfactory cortex. J. Comp. Neurol., 243, 195–206.[ISI][Medline]
Wilson, D.A. (1997) Bi-naral interactions in the rat piriform cortex. J. Neurophysiol., 78, 160–169.
Wilson, D.A. (1998a) Habituation of odor responses in the rat anterior piriform cortex. J. Neurophysiol., 79, 1425–1440.
Wilson, D.A. (1998b) Synaptic correlates of odor habituation in the rat anterior piriform cortex. J. Neurophysiol., 80, 998–1001.
Wilson, D.A. (2000a) Odor specificity of habituation in the rat anterior piriform cortex. J. Neurophysiol., 83, 139–145.
Wilson, D.A. (2000b) A comparison of odor receptive field plasticity in the rat olfactory bulb and anterior piriform cortex. J. Neurophysiol., 84, 3036–3042.
Wilson, D.A. and Leon, M. (1987) Evidence of lateral synaptic interactions in olfactory bulb output cell responses to odors. Brain Res., 417, 175–180.[ISI][Medline]
Wilson, D.A. and Sullivan, R.M. (1999) Respiratory airflow pattern at the rat’s snout and an hypothesis regarding it’s role in olfaction. Physiol. Behav., 66, 41–44.[Medline]
Wilson, D.A., Sullivan, R.M. and Leon, M. (1987) Single-unit analysis of postnatal olfactory learning: modified olfactory bulb output response patterns to learned attractive odors. J. Neurosci., 7, 3154–3162.[Abstract]
Wilson, D.A., Best, A.R. and Brunjes, P.C. (2000) Trans-neuronal modification of anterior piriform cortical circuitry in the rat. Brain Res., 853, 317–322.[ISI][Medline]
Wise, P.M., Olsson, M.J. and Cain, W.S. (2000) Quantification of odor quality. Chem. Senses, 25, 429–444.
Xu, F., Greer, C.A. and Shepherd, G.M. (2000) Odor maps in the olfactory bulb. J. Comp. Neurol., 422, 489–495.[ISI][Medline]
Yokoi, M., Mori, K. and Nakanishi, S. (1995) Refinement of odor molecule tuning by dendrodendritic synaptic inhibition in the olfactory bulb. Proc. Natl Acad. Sci. USA, 92, 3371–3375.
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  Z. Zhou and L. Belluscio Intrabulbar Projecting External Tufted Cells Mediate a Timing-Based Mechanism That Dynamically Gates Olfactory Bulb Output J. Neurosci., October 1, 2008; 28(40): 9920 - 9928. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
I. Yoshida and K. Mori Odorant Category Profile Selectivity of Olfactory Cortex Neurons J. Neurosci., August 22, 2007; 27(34): 9105 - 9114. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
N. Suzuki and J. M. Bekkers Neural Coding by Two Classes of Principal Cells in the Mouse Piriform Cortex. J. Neurosci., November 15, 2006; 26(46): 11938 - 11947. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 S. Kim, B. H. Singer, and M. Zochowski Changing roles for temporal representation of odorant during the oscillatory response of the olfactory bulb. Neural Comput., April 1, 2006; 18(4): 794 - 816. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 Z. Zou and L. B. Buck Combinatorial effects of odorant mixes in olfactory cortex. Science, March 10, 2006; 311(5766): 1477 - 1481. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J. Mainland and N. Sobel The Sniff Is Part of the Olfactory Percept Chem Senses, February 1, 2006; 31(2): 181 - 196. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 P.-M. Lledo, G. Gheusi, and J.-D. Vincent Information Processing in the Mammalian Olfactory System Physiol Rev, January 1, 2005; 85(1): 281 - 317. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
N. Onoda, T. Sugai, and H. Yoshimura Odor-intensity Coding in the Anterior Piriform Cortex Chem Senses, January 1, 2005; 30(suppl_1): i162 - i163. [Full Text] [PDF]
|
|
|
|
|
|
M. Derrick, N. L. Luo, J. C. Bregman, T. Jilling, X. Ji, K. Fisher, C. L. Gladson, D. J. Beardsley, G. Murdoch, S. A. Back, et al. Preterm Fetal Hypoxia-Ischemia Causes Hypertonia and Motor Deficits in the Neonatal Rabbit: A Model for Human Cerebral Palsy? J. Neurosci., January 7, 2004; 24(1): 24 - 34. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 D. A. Wilson Rapid, Experience-Induced Enhancement in Odorant Discrimination by Anterior Piriform Cortex Neurons J Neurophysiol, July 1, 2003; 90(1): 65 - 72. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 D. A. Wilson Scopolamine Enhances Generalization between Odor Representations in Rat Olfactory Cortex Learn. Mem., September 1, 2001; 8(5): 279 - 285. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
L. B. Haberly Parallel-distributed Processing in Olfactory Cortex: New Insights from Morphological and Physiological Analysis of Neuronal Circuitry Chem Senses, June 1, 2001; 26(5): 551 - 576. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. L. Fletcher and D. A. Wilson Experience Modifies Olfactory Acuity: Acetylcholine-Dependent Learning Decreases Behavioral Generalization between Similar Odorants J. Neurosci., January 15, 2002; 22(2): RC201 - RC201. [Abstract] [Full Text] [PDF]
|
|
| |||||||||||||||||||||||||||||