Perceptual judgements and chronic imaging of altered odour maps indicate comprehensive stimulus template matching in olfaction

Bracey, Edward F.; Pichler, Bruno; Schaefer, Andreas T.; Wallace, Damian J.; Margrie, Troy W.

doi:10.1038/ncomms3100

Cited by 10 publications

(15 citation statements)

References 60 publications

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“…The reduction of 620 performance in this task was not due to inability to perform general odour discriminations as all groups 621 with odour recognition deficits were largely still able to learn novel odour pair discriminations. This is 622 in agreement with previous findings (Bracey et al, 2013) where it was also reported that transient 623 decreases in performance accuracy occur for odour recognition tasks (after nasal epithelium lesioning) 624…”

Section: Assessment Of Graded Olfactory Bulb Lesion Effects 610supporting

confidence: 89%

“…Results of lesioning experiments (Lu and Slotnick, 1998; McBride and 61 Slotnick, 2006;Slotnick, 2007) in the mouse olfactory bulb and from knockout mice with OSN axon 62 guidance defects (Knott et al, 2012) have been interpreted as evidence that relatively large 63 disruptions to the olfactory bulb have little effect on olfactory function (Laurent, 1999; Wilson and 64 Mainen, 2006). By contrast, other studies report conflicting results (Johnson and Leon, 2007), for 65 example that major disruptions cause deficiencies in odour recognition and discrimination, whilst 66 even minor disruptions can affect recognition (Bracey et al, 2013). 67…”

Section: Introduction 23mentioning

confidence: 99%

“…Recognition of the initially learned odour was virtually instantaneous (20-46 trials) (fig. 4a3, b 337cf Bracey et al, 2013)…”

mentioning

confidence: 99%

“…Knott et al, 2012;Bracey et al, 2013). It is true that relatively large lesions of the OB 643 do not impair simple olfactory behaviours, but more complex tasks involving recognition, mixture 644 discrimination and discrimination of non-trigeminal stimuli are readily affected by even minor 645 disruption of the OB.…”

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confidence: 99%

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AutonoMouse: High throughput automated operant conditioning shows progressive behavioural impairment with graded olfactory bulb lesions

Erskine

Bus²,

Herb

et al. 2018

Preprint

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Operant conditioning is a crucial tool in neuroscience research for probing brain function. While molecular, anatomical and even physiological techniques have seen radical increases in throughput, efficiency, and reproducibility in recent years, behavioural tools have seen much less of an improvement. Here we present a fully automated, high-throughput system for self-initiated conditioning of up to 25 group-housed, radio-frequency identification (RFID) tagged mice over periods of several months and >10^6 trials. We validate this “AutonoMouse” system in a series of olfactory behavioural tasks and show that acquired data is comparable to previous semi-manual approaches. Furthermore, we use AutonoMouse to systematically probe the impact of graded olfactory bulb lesions on olfactory behaviour and resolve the long-standing conundrum about the apparent lack of impact of lesions on olfactory abilities. The modular nature and open-source design of AutonoMouse should allow for similar robust and systematic assessments across neuroscience research areas.

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Section: Assessment Of Graded Olfactory Bulb Lesion Effects 610supporting

confidence: 89%

Section: Introduction 23mentioning

confidence: 99%

“…Recognition of the initially learned odour was virtually instantaneous (20-46 trials) (fig. 4a3, b 337cf Bracey et al, 2013)…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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AutonoMouse: High throughput automated operant conditioning shows progressive behavioural impairment with graded olfactory bulb lesions

Erskine

Bus²,

Herb

et al. 2018

Preprint

Self Cite

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“…Cortical feedback onto inhibitory neurons [39,40,66] might contribute to the context-dependent reorganization described here by supressing MCs activity of incongruent stimuli. Theoretical and experimental studies suggest that odour recognition relies on matching sensory input patterns to a previously generated stimulus template that is formed by experience [67][68][69]. If the correspondence between the input and the stored template is low than the non-template information can be suppressed [64].…”

Section: Flexible Categorisation Following Learningmentioning

confidence: 99%

Flexible Representations of Odour Categories in the Mouse Olfactory Bulb

Kudryavitskaya

Marom

Pash

et al. 2020

Preprint

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SUMMARYThe ability to group sensory stimuli into categories is crucial for efficient interaction with a rich and ever-changing environment. In olfaction, basic features of categorical representation of odours were observed as early as in the olfactory bulb (OB). Categorical representation was described in mitral cells (MCs) as sudden transitions in responses to odours that were morphed along a continuum. However, it remains unclear to what extent such response dynamics actually reflects perceptual categories and decisions therein. Here, we tested the role of learning on category formation in the mouse OB, using in vivo two-photon calcium imaging and behaviour. We imaged MCs responses in naïve mice and in awake behaving mice as they learned two tasks with different classification logic. In one task, a 1-decision boundary task, animals learned to classify odour mixtures based on the dominant compound in the mixtures. As expected, categorical representation of close by odours, which was evident already in naïve animals, further increased following learning. In a second task, a multi-decision boundary task, animals learned to classify odours independent of their chemical similarity. Rather, odour discrimination was based on the meaning ascribed to them (either rewarding or not). Following the second task, odour representations by MCs reorganized according to the odour value in the new category. This functional reorganization was also reflected as a shift from predominantly excitatory odour responses to predominantly inhibitory odour responses. Our data shows that odour representations by MCs is flexible, shaped by task demands, and carry category-related information.

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