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Prikvačeni tweet
Interested in decision-making, evidence accumulation, normative or circuit models, oscillations, cortical hierarchy, feedback, or brainstem arousal systems? Check out our new paper on
@biorxivpreprint (https://www.biorxiv.org/content/10.1101/2020.01.29.924795v1 …)! Led by@neuromurphy, summary below. (1/11)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our results also challenge the dominant feedforward framework of perceptual decision-making, and establish a new link between evidence accumulation and the frequency bands of cortical population activity. (10/10)
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Our findings are the first physiological confirmation of key predictions from cortical circuit models for decision-making with feedback from decision to sensory stage (https://www.ncbi.nlm.nih.gov/pubmed/25649611 ) (9/10)
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Indeed, we found that V1-gamma reflected the feedforward influence of contrast information on choice; V1-alpha was unrelated to the stimulus, but mirrored (with 100 ms delay) the build-up of choice-predictive activity in motor cortex. (8/10)pic.twitter.com/IzjP2gt4fK
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We then tested for choice-predictive activity fluctuations (“choice probability”) in V1, as a function of different frequency bands. Gamma-band activity has been linked with feedforward and alpha-band activity with feedback signalling (https://www.ncbi.nlm.nih.gov/pubmed/25556836 )(7/10)
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The observed dynamics of sensory and choice information across cortex was consistent with an accumulation of evidence provided by V1 into an action plan formed in parietal and motor cortex. (6/11)
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Activity in the latter, action-related regions also reliably predicted the ensuing choice, in a way that built up over time. (5/11)pic.twitter.com/McsNuDmpmr
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Instantaneous ‘sensory evidence’ (contrast information) was encoded in early visual cortex (including V1), whereas accumulated evidence was encoded in parietal and motor regions involved in action planning. (4/10)pic.twitter.com/XmovJhR4E4
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We asked human subjects to accumulate fluctuating contrast information towards a categorical choice. They overweighted early relative to late contrast samples, as is often observed in such tasks. (3/10)pic.twitter.com/u41TFA98bO
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We developed an MEG approach to track the dynamics of sensory and choice-related activity during perceptual decision-making across cortex. We then used this approach to pinpoint feedback of choice-related activity to sensory cortex (2/10).
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New
@biorxivpreprint from the lab (https://www.biorxiv.org/content/10.1101/2020.02.01.929893v2 …) that shows choice-predictive feedforward/back signals in V1! Led by@Nwilming. Relevant for anyone interested in#decisionmaking,#evidenceAccumulation,#brainrhythms,#corticalfeedback. Thread. (1/10)pic.twitter.com/YBRJHmFfQG
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Donner Lab proslijedio/la je Tweet
New
#preprint out on@biorxiv! \w@neuromurphy,@kobedesender, Nicole de Ru & Sander Nieuwenhuis, we show that temporal expectation enhances perception by speeding up the the decision process onset without affecting its evolution!#tweeprint below (1/10)http://bit.ly/2vL0ovXPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our insights link computations for adaptive decision-making with large-scale neural mechanisms for their implementation: normative evidence accumulation in a changing world emerges from the interplay of cortical circuit dynamics and neuromodulatory input. (11/11)
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Changes in environmental state were also closely tracked by pupil-linked arousal, which in turn modulated evidence-encoding signatures in behavior and cortical dynamics. (10/11)pic.twitter.com/JrUCZfE2jl
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The measured accumulation behavior and dynamics of choice-predictive activity emerged naturally from the non-linear dynamics of an established, biophysically-detailed model of cortical decision circuits. (9/11)pic.twitter.com/WLHngmJCNg
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Visual cortical alpha-band activity reflected selective feedback of the decision variable, most prominently the late activity in primary visual cortex (V1). (8/11)pic.twitter.com/r5oTUcNSzB
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Evidence and decision variable encoding were widely also distributed across the visual cortical hierarchy, and expressed in distinct frequency bands. Visual cortical gamma-band activity encoded sensory evidence. (7/11)pic.twitter.com/moD3LiDQcT
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Regions in posterior parietal and (pre-)motor cortex involved in action planning closely tracked the normative decision variable, with modulation of evidence encoding by surprise and uncertainty. (6/11)pic.twitter.com/ezm8RZqcqj
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We combined multi-area recordings (via atlas-based MEG), pupillometry, and cortical circuit modelling to illuminate the large-scale mechanisms underlying the adaptive accumulation process. (5/11)
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Surprise and uncertainty modulated the evidence accumulation of human subjects in a task with hidden changes in environmental state. The normative model fitted human behavior better than several alternative, widely used models. (4/11)pic.twitter.com/AQIhDnGx2K
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A normative model of decision-making in this context entails a non-linear accumulation of evidence. We show that this non-linearity can be expressed as heightened sensitivity to evidence that is surprising or encountered under uncertainty. (3/11)pic.twitter.com/CqNK8z2qqy
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