Receptive field properties of thalamo-cortical taste relay neurons in the parvicellular part of the posteromedial ventral nucleus in rats

Ogawa, Hisashi; Nomura, Tomokiyo

doi:10.1007/bf00248229

Cited by 34 publications

(15 citation statements)

References 12 publications

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“…4C) Kosar et al, 1986b). In other studies, however, single neurons that responded to sapid chemicals were concentrated in the middle third of the subdivision, and were intermingled with tongue tactile cells and cells responsive to taste, thermal, and tactile stimulation (Nomura and Ogawa, 1985;Ogawa and Nomura, 1988;Verhagen et al, 2003). In either case, the histologically distinct subdivision of VPM represents the thalamic relay for all lingual sensory modalities, rather than just taste.…”

Section: Thalamic Taste Relaymentioning

confidence: 87%

Gustatory System

Lundy

Norgren

2015

The Rat Nervous System

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Section: Thalamic Taste Relaymentioning

confidence: 87%

Gustatory System

Lundy

Norgren

2015

The Rat Nervous System

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“…The VPpc contains both gustatory and mechanoreceptive neurons excited by intraoral stimuli (Nomura and Ogawa, 1985;Ogawa and Nomura, 1988). Because, the present study points out that the PB''G'' projection, with a pattern of restricted clusters of large varicosities, was found only inside the VPpc, it can be suggested that these large varicosities could transmit the more specific gustatory and orotactile messages to the thalamic VPpc neurons.…”

Section: Functional Implications Of Pb Projectionsmentioning

confidence: 89%

Differential projections to the intralaminar and gustatory thalamus from the parabrachial area: A PHA-L study in the rat

et al. 1999

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“…Single neurons of Ͼ3:1 signalto-noise ratio were isolated by using a waveform template, augmented with offline cluster cutting software (Plexon, Dallas, TX) (50). Resultant taste responses are similar to those observed with sharp 5-M⍀ electrode penetrations (51,52).…”

Section: Methodsmentioning

confidence: 99%

Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles

Jones

Fontanini

Sadacca

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

279

397

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Although temporal coding is a frequent topic of neurophysiology research, trial-to-trial variability in temporal codes is typically dismissed as noise and thought to play no role in sensory function. Here, we show that much of this supposed ''noise'' faithfully reflects stimulus-related processes carried out in coherent neural networks. Cortical neurons responded to sensory stimuli by progressing through sequences of states, identifiable only in examinations of simultaneously recorded ensembles. The specific times at which ensembles transitioned from state to state varied from trial to trial, but the state sequences were reliable and stimulusspecific. Thus, the characterization of ensemble responses in terms of state sequences captured facets of sensory processing that are missing from, and obscured in, other analyses. This work provides evidence that sensory neurons act as parts of a systems-level dynamic process, the nature of which can best be appreciated through observation of distributed ensembles.gustatory ͉ hidden Markov model T he time courses of sensory neural responses are rich with structure. Taking time into consideration increases the amount of information that can be extracted from neural codes (1-5) and changes the nature of that information (6-8). Such temporal complexity is the natural result of interactions among neural populations (9-11), a concept recently illustrated in studies of olfactory antennal lobe responses in insects (12)(13)(14).The behavior of mammalian sensory systems has proven more difficult to characterize, due in part to the relative complexity of these networks and of the behaviors and neural activity that they subtend. Feedback and convergence found in mammalian brains are extensive and diffuse (15), a fact that contributes to high trial-to-trial variability of mammalian cortical sensory responses (16). This variability is usually dismissed as noise, a decision formalized by the use of across-trial averages such as peristimulus time histograms (PSTHs) (8) and compilations of sequentially recorded neurons (13) to characterize temporal codes.If the variability in neural responses is not noise, however [if, for instance, it reflects network processes evolving at different speeds from trial to trial (17, 18)], then trial-averaging techniques will obscure features of the underlying neural processes. Recent evidence indirectly suggests that this possibility may be the case: repeating multineuronal temporal patterns that are not reflected in PSTHs follow application of sensory stimuli (19, 20) and precede initiation of motor behaviors (21-23), although the search algorithms used to identify such patterns are controversial (24, 25); furthermore, the speed of perceptual identification itself varies from trial to trial (26, 27) in a manner linked to the dynamics of network activity (27)(28)(29)(30).Here, we provide direct evidence that trial-to-trial variability is a reliable, information-rich part of ensemble sensory processing in awake rats, by using hidden Markov models [HMM (31)...

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Receptive field properties of thalamo-cortical taste relay neurons in the parvicellular part of the posteromedial ventral nucleus in rats

Cited by 34 publications

References 12 publications

Gustatory System

Gustatory System

Differential projections to the intralaminar and gustatory thalamus from the parabrachial area: A PHA-L study in the rat

Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles

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