scispace - formally typeset
Search or ask a question
Author

Harriet Feldman

Bio: Harriet Feldman is an academic researcher from Wellcome Trust Centre for Neuroimaging. The author has contributed to research in topics: Psychiatry & Declaration. The author has an hindex of 1, co-authored 1 publications receiving 865 citations.

Papers
More filters
Journal ArticleDOI
TL;DR: It is shown that if the precision depends on the states, one can explain many aspects of attention, including attentional bias or gating, competition for attentional resources, attentional capture and associated speed-accuracy trade-offs.
Abstract: We suggested recently that attention can be understood as inferring the level of uncertainty or precision during hierarchical perception. In this paper, we try to substantiate this claim using neuronal simulations of directed spatial attention and biased competition. These simulations assume that neuronal activity encodes a probabilistic representation of the world that optimizes free-energy in a Bayesian fashion. Because free-energy bounds surprise or the (negative) log-evidence for internal models of the world, this optimization can be regarded as evidence accumulation or (generalized) predictive coding. Crucially, both predictions about the state of the world generating sensory data and the precision of those data have to be optimized. Here, we show that if the precision depends on the states, one can explain many aspects of attention. We illustrate this in the context of the Posner paradigm, using the simulations to generate both psychophysical and electrophysiological responses. These simulated responses are consistent with attentional bias or gating, competition for attentional resources, attentional capture and associated speed-accuracy trade-offs. Furthermore, if we present both attended and non-attended stimuli simultaneously, biased competition for neuronal representation emerges as a principled and straightforward property of Bayes-optimal perception.

1,015 citations

Journal ArticleDOI
TL;DR: A Cochrane Corner meta-analysis evaluated the evidence for the use of aripiprazole in "autism spectrum disorders" as discussed by the authors , finding that it was effective in reducing irritability and hyperactivity, while causing extrapyramidal side effects and weight gain.
Abstract: This month's Cochrane Corner meta-analysis evaluates the evidence for the use of aripiprazole in ‘autism spectrum disorders’ – although in fact, outcome measures mainly included subtypes of challenging behaviour and side-effects. Aripiprazole was found to be effective in reducing irritability and hyperactivity, while causing extrapyramidal side-effects and weight gain. Only three trials were included in the review, with two small trials eventually included in the meta-analysis. All trials were conducted in under-18s in the USA, with no requirement for a trial of behavioural management before psychotropic medication, and excluding under-18s with important comorbidities such as medicated attention-deficit hyperactivity disorder. All three studies were sponsored and funded by the manufacturer of aripiprazole. Further, a discontinuation trial showed no evidence of sustained benefit beyond 16 weeks of treatment.
Journal ArticleDOI
13 Mar 2022-BMJ Open
TL;DR: Despite efforts, the current system of declarations frequently lacks ability to meaningfully obtain complete health care professionals declaration of interests.
Abstract: Objective To understand arrangements for healthcare organisations’ declarations of staff interest in Scotland and England in the context of current recommendations. Design Cross-sectional study of a random selection of National Health Service (NHS) hospital registers of interest by two independent observers in England, all NHS Boards in Scotland and a random selection of Clinical Commissioning Groups (CCGs) in England. Setting NHS Trusts in England (NHSE), NHS Boards in Scotland, CCGs in England, and private healthcare organisations. Participants Registers of declarations of interest published in a random sample of 67 of 217 NHS Trusts, a random sample of 15 CCGs of in England, registers held by all 14 NHS Scotland Boards and a purposeful selection of private hospitals/clinics in the UK. Main outcome measures Adherence to NHSE guidelines on declarations of interests, and comparison in Scotland. Results 76% of registers published by Trusts did not routinely include all declaration of interest categories recommended by NHS England. In NHS Scotland only 14% of Boards published staff registers of interest. Of these employee registers (most obtained under Freedom of Information), 27% contained substantial retractions. In England, 96% of CCGs published a Gifts and Hospitality register, with 67% of CCG staff declaration templates and 53% of governor registers containing full standard NHS England declaration categories. Single organisations often held multiple registers lacking enough information to interpret them. Only 35% of NHS Trust registers were organised to enable searching. None of the private sector organisations studied published a comparable declarations of interest register. Conclusion Despite efforts, the current system of declarations frequently lacks ability to meaningfully obtain complete healthcare professionals’ declaration of interests.

Cited by
More filters
Journal ArticleDOI
TL;DR: This target article critically examines this "hierarchical prediction machine" approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action.
Abstract: Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to adaptive success. This target article critically examines this "hierarchical prediction machine" approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action. Sections 1 and 2 lay out the key elements and implications of the approach. Section 3 explores a variety of pitfalls and challenges, spanning the evidential, the methodological, and the more properly conceptual. The paper ends (sections 4 and 5) by asking how such approaches might impact our more general vision of mind, experience, and agency.

3,640 citations

Journal ArticleDOI
21 Nov 2012-Neuron
TL;DR: This analysis discloses a remarkable correspondence between the microcircuitry of the cortical column and the connectivity implied by predictive coding and provides some intuitive insights into the functional asymmetries between feedforward and feedback connections and the characteristic frequencies over which they operate.

1,892 citations

Journal ArticleDOI
TL;DR: A meta-analytic summary of the neuroimaging literature on human emotion finds little evidence that discrete emotion categories can be consistently and specifically localized to distinct brain regions, and finds evidence that is consistent with a psychological constructionist approach to the mind.
Abstract: Researchers have wondered how the brain creates emotions since the early days of psychological science. With a surge of studies in affective neuroscience in recent decades, scientists are poised to answer this question. In this target article, we present a meta-analytic summary of the neuroimaging literature on human emotion. We compare the locationist approach (i.e., the hypothesis that discrete emotion categories consistently and specifically correspond to distinct brain regions) with the psychological constructionist approach (i.e., the hypothesis that discrete emotion categories are constructed of more general brain networks not specific to those categories) to better understand the brain basis of emotion. We review both locationist and psychological constructionist hypotheses of brain-emotion correspondence and report meta-analytic findings bearing on these hypotheses. Overall, we found little evidence that discrete emotion categories can be consistently and specifically localized to distinct brain regions. Instead, we found evidence that is consistent with a psychological constructionist approach to the mind: A set of interacting brain regions commonly involved in basic psychological operations of both an emotional and non-emotional nature are active during emotion experience and perception across a range of discrete emotion categories.

1,702 citations

Journal ArticleDOI
TL;DR: The Embodied Predictive Interoception Coding model is introduced, which integrates an anatomical model of corticocortical connections with Bayesian active inference principles, to propose that agranular visceromotor cortices contribute to interoception by issuing interoceptive predictions.
Abstract: Intuition suggests that perception follows sensation and therefore bodily feelings originate in the body. However, recent evidence goes against this logic: interoceptive experience may largely reflect limbic predictions about the expected state of the body that are constrained by ascending visceral sensations. In this Opinion article, we introduce the Embodied Predictive Interoception Coding model, which integrates an anatomical model of corticocortical connections with Bayesian active inference principles, to propose that agranular visceromotor cortices contribute to interoception by issuing interoceptive predictions. We then discuss how disruptions in interoceptive predictions could function as a common vulnerability for mental and physical illness.

996 citations

Journal ArticleDOI
TL;DR: This article begins with the structure and function of the brain, and from there deduce what the biological basis of emotions might be, and concludes that the answer is a brain-based, computational account called the theory of constructed emotion.
Abstract: The science of emotion has been using folk psychology categories derived from philosophy to search for the brain basis of emotion. The last two decades of neuroscience research have brought us to the brink of a paradigm shift in understanding the workings of the brain, however, setting the stage to revolutionize our understanding of what emotions are and how they work. In this article, we begin with the structure and function of the brain, and from there deduce what the biological basis of emotions might be. The answer is a brain-based, computational account called the theory of constructed emotion.

771 citations