Publications by authors named "Ann-Sophie Barwich"

This paper reevaluates the conventional topographic model of brain function, stressing the critical role of philosophical inquiry in neuroscience. Since the 1930s, pioneering studies by Penfield and subsequent advancements in visual neuroscience by Hubel and Wiesel have popularized the concept of cortical maps as representations of external and internal states. Yet contemporary research in various sensory systems, including visual cortices in certain animals, questions the universal applicability of this model.

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What is wrong with the peer review system? Is peer review sustainable? Useful? What other models exist? These are central yet contentious questions in today's academic discourse. This perspective critically discusses alternative models and revisions to the peer review system. The authors highlight possible changes to the peer review system, with the goal of fostering further dialog among the main stakeholders, including producers and consumers of scientific research.

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There are many different kinds of models, and they play many different roles in the scientific endeavour. Neuroscience, and biology more generally, has understandably tended to emphasise empirical models that are grounded in data and make specific, experimentally testable predictions. Meanwhile, strongly idealised or 'toy' models have played a central role in the theoretical development of other sciences such as physics.

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Representational drift is a phenomenon of increasing interest in the cognitive and neural sciences. While investigations are ongoing for other sensory cortices, recent research has demonstrated the pervasiveness in which it occurs in the piriform cortex for olfaction. This gradual weakening and shifting of stimulus-responsive cells has critical implications for sensory stimulus-response models and perceptual decision-making.

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Recent research suggests that the piriform cortex simultaneously represents spatial and olfactory information. These findings may provide further insight into the non-topographic principles of odor coding.

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Can machine learning crack the code in the nose? Over the past decade, studies tried to solve the relation between chemical structure and sensory quality with Big Data. These studies advanced computational models of the olfactory stimulus, utilizing artificial intelligence to mine for clear correlations between chemistry and psychophysics. Computational perspectives promised to solve the mystery of olfaction with more data and better data processing tools.

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Noses are extremely sophisticated chemical detectors allowing animals to use scents to interpret and navigate their environments. Odor detection starts with the activation of odorant receptors (ORs), expressed in mature olfactory sensory neurons (OSNs) populating the olfactory mucosa. Different odorants, or different concentrations of the same odorant, activate unique ensembles of ORs.

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Should theories of "higher-level" cognitive effects originate in "lower-level" molecular mechanisms? This paper supports reductionist explanations of sensory perception via molecular mechanisms in neurobiology. It shows that molecular and cellular mechanisms must constitute the material foundation to derive better theories and models for neuroscience. In support of "bottom-up theorizing", I explore the recent application of a new real-time molecular imaging technique (SCAPE microscopy) to mixture coding in olfaction.

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Perfumes embody a chemical record of style and technology. Blurring the boundary between what counts as natural and artificial in both a material and a perceptual sense, perfumery presents us with a domain of multiple disciplinary identities relevant to social studies: art, craft, and techno-science. Despite its profound impact as a cultural practice, perfume has seldom featured in historical scholarship.

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In 1991, Buck and Axel published a landmark study in Cell for work that was awarded the 2004 Nobel Prize. The identification of the olfactory receptors as the largest family of GPCRs catapulted olfaction into mainstream neurobiology. This BenchMark revisits Buck's experimental innovation and its surprising success at the time.

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The annals of science are filled with successes. Only in footnotes do we hear about the failures, the cul-de-sacs, and the forgotten ideas. Failure is how research advances.

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Does the sense of smell involve the perception of odor objects? General discussion of perceptual objecthood centers on three criteria: stimulus representation, perceptual constancy, and figure-ground segregation. These criteria, derived from theories of vision, have been applied to olfaction in recent philosophical debates about psychology. An inherent problem with such framing of olfactory objecthood is that philosophers explicitly ignore the constitutive factors of the sensory systems that underpin the implementation of these criteria.

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Empirical success is a central criterion for scientific decision-making. Yet its understanding in philosophical studies of science deserves renewed attention: Should philosophers think differently about the advancement of science when they deal with the uncertainty of outcome in ongoing research in comparison with historical episodes? This paper argues that normative appeals to empirical success in the evaluation of competing scientific explanations can result in unreliable conclusions, especially when we are looking at the changeability of direction in unsettled investigations. The challenges we encounter arise from the inherent dynamics of disciplinary and experimental objectives in research practice.

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Neurobiology studies mechanisms of cell signalling. A key question is how cells recognise specific signals. In this context, olfaction has become an important experimental system over the past 25 years.

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