Multiple learning parameters differentially regulate olfactory generalization.

Cleland, Thomas A.; Narla, Venkata Anupama; Boudadi, Karim

doi:10.1037/a0013991

Cited by 57 publications

(86 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…That is, there is no reason that the pattern of functional lateral inhibitory weights should reflect the similarity of OSN receptive fields as measured within any one particular statistical odor environment. Rather, it has been hypothesized that decorrelation in this layer reflects olfactory learning, altering the behavioral discrimination of similar odorants based on individual experience (Cleland et al, 2009; Cleland, 2010). …”

Section: Discussionmentioning

confidence: 99%

A Two-Layer Biophysical Model of Cholinergic Neuromodulation in Olfactory Bulb

Cleland

2013

J. Neurosci.

186

View full text Add to dashboard Cite

Cholinergic inputs from the basal forebrain regulate multiple olfactory bulb (OB) functions including odor discrimination, perceptual learning, and short term memory. Previous studies have shown that nicotinic cholinergic receptor activation sharpens mitral cell chemoreceptive fields, likely via intraglomerular circuitry. Muscarinic cholinergic activation is less well understood, though muscarinic receptors are implicated in olfactory learning and in the regulation of synchronized oscillatory dynamics in hippocampus and cortex. To understand the mechanisms underlying cholinergic neuromodulation in OB, we developed a biophysical model of the OB neuronal network including both glomerular layer and external plexiform layer (EPL) computations and incorporating both nicotinic and muscarinic neuromodulatory effects. Our simulations show how nicotinic activation within glomerular circuits sharpens mitral cell chemoreceptive fields, even in the absence of EPL circuitry, but does not facilitate intrinsic oscillations or spike synchronization. In contrast, muscarinic receptor activation increases mitral cell spike synchronization and field oscillatory power by potentiating granule cell excitability and lateral inhibitory interactions within the EPL, but has little effect on mitral cell firing rates and hence will not sharpen olfactory representations under a rate metric. These results are consistent with the theory that EPL interactions regulate the timing, rather than the existence, of mitral cell action potentials, and perform their computations with respect to a spike timing-based metric. This general model suggests that the roles of nicotinic and muscarinic receptors in olfactory bulb are both distinct and complementary to one another, together regulating the effects of ascending cholinergic inputs on olfactory bulb transformations.

show abstract

Section: Discussionmentioning

confidence: 99%

A Two-Layer Biophysical Model of Cholinergic Neuromodulation in Olfactory Bulb

Cleland

2013

J. Neurosci.

186

View full text Add to dashboard Cite

show abstract

“…Honeybees generalize their responses across perceptually distinct binary mixtures of floral odorants after learning that each leads to the same rewarding outcome [29]. Rodents trained to dig for a reward in response to an odor cue generalize toward structurally similar odorants depending on the saliency and strength of associative learning [30]. Both of these studies underscore the importance of behavioral contingency for category formation.…”

Section: Odor Categorization: Lumping Not Splittingmentioning

confidence: 99%

Function follows form: ecological constraints on odor codes and olfactory percepts

Gottfried

2009

Current Opinion in Neurobiology

View full text Add to dashboard Cite

SummarySensory system function has evolved to meet the biological needs of organisms, but it is less often regarded that sensory system form has by necessity evolved to contend with the stimulus. For an olfactory system extracting meaningful information from natural scents, the ecological milieu presents unique problems. Recent studies provide new insights into the perceptual and neural mechanisms underlying how odorant elements are assembled into odor wholes, how odor percepts are reconstructed from degraded inputs, and how learning and experience sculpt olfactory categorical perception. These data show that spatial ensemble activity patterns in piriform cortex are closely linked to the perceptual meaning and identity of odor objects, substantiating theoretical models that emphasize the importance of distributed templates for the perception, discrimination, and recall of olfactory quality.

show abstract

“…To date, it was commonly suggested that configural processing of odour mixture greatly rely on experience and memory (e.g. Staubli et al, 1987;Cleland et al, 2009). For instance, Wilson and Stevenson (Wilson and Stevenson, 2003) proposed that prior experience with an odour could be a condition to perceive complex mixtures of odorants through a strong synthetic (configural) processing and in the meantime to display strong elemental figure-ground discrimination.…”

Section: G Coureaud and Othersmentioning

confidence: 99%

Elemental and configural processing of odour mixtures in the newborn rabbit

Coureaud

Hamdani

Schaal

et al. 2009

Journal of Experimental Biology

View full text Add to dashboard Cite

SUMMARYThe processing of odour mixtures by young organisms is poorly understood. Recently, the perception of an AB mixture, known to engage configural perception in adult humans, was suggested also to be partially configural in newborn rabbits. In particular, pups did not respond to AB after they had learned A or B. However, two alternative hypotheses might be suggested to explain this result: the presence in the mixture of a novel odorant that inhibits the response to the learned stimulus, and the unevenness of the sensory and cognitive processes engaged during the conditioning and the behavioural testing. We conducted four experiments to explore these alternative hypotheses. In experiment 1, the learning of A or B ended in responses to mixtures including a novel odorant (AC or BC). Experiment 2 pointed to the absence of overshadowing. Therefore, a novelty effect cannot explain the non-response to AB after the learning of A or B. In experiment 3, pups having learned A or B in AC or BC did not respond to AB. However, they generalized odour information acquired in AB to AC or BC in experiment 4. Thus, the balancing of the perceptual tasks between the conditioning and retention test does not enhance the response to the AB mixture. To sum up, the present experiments give concrete support to the partially configural perception of specific odour mixtures by newborn rabbits.

show abstract

Multiple learning parameters differentially regulate olfactory generalization.

Cited by 57 publications

References 55 publications

A Two-Layer Biophysical Model of Cholinergic Neuromodulation in Olfactory Bulb

A Two-Layer Biophysical Model of Cholinergic Neuromodulation in Olfactory Bulb

Function follows form: ecological constraints on odor codes and olfactory percepts

Elemental and configural processing of odour mixtures in the newborn rabbit

Contact Info

Product

Resources

About