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      Abstract rules drive adaptation in the subcortical sensory pathway

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          Abstract

          The subcortical sensory pathways are the fundamental channels for mapping the outside world to our minds. Sensory pathways efficiently transmit information by adapting neural responses to the local statistics of the sensory input. The long-standing mechanistic explanation for this adaptive behaviour is that neural activity decreases with increasing regularities in the local statistics of the stimuli. An alternative account is that neural coding is directly driven by expectations of the sensory input. Here, we used abstract rules to manipulate expectations independently of local stimulus statistics. The ultra-high-field functional-MRI data show that abstract expectations can drive the response amplitude to tones in the human auditory pathway. These results provide first unambiguous evidence of abstract processing in a subcortical sensory pathway. They indicate that the neural representation of the outside world is altered by our prior beliefs even at initial points of the processing hierarchy.

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          FSL.

          FSL (the FMRIB Software Library) is a comprehensive library of analysis tools for functional, structural and diffusion MRI brain imaging data, written mainly by members of the Analysis Group, FMRIB, Oxford. For this NeuroImage special issue on "20 years of fMRI" we have been asked to write about the history, developments and current status of FSL. We also include some descriptions of parts of FSL that are not well covered in the existing literature. We hope that some of this content might be of interest to users of FSL, and also maybe to new research groups considering creating, releasing and supporting new software packages for brain image analysis. Copyright © 2011 Elsevier Inc. All rights reserved.
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            The Psychophysics Toolbox

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              Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

              We present a technique for automatically assigning a neuroanatomical label to each voxel in an MRI volume based on probabilistic information automatically estimated from a manually labeled training set. In contrast to existing segmentation procedures that only label a small number of tissue classes, the current method assigns one of 37 labels to each voxel, including left and right caudate, putamen, pallidum, thalamus, lateral ventricles, hippocampus, and amygdala. The classification technique employs a registration procedure that is robust to anatomical variability, including the ventricular enlargement typically associated with neurological diseases and aging. The technique is shown to be comparable in accuracy to manual labeling, and of sufficient sensitivity to robustly detect changes in the volume of noncortical structures that presage the onset of probable Alzheimer's disease.
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                Author and article information

                Contributors
                Role: Senior Editor
                Role: Reviewing Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                08 December 2020
                2020
                : 9
                : e64501
                Affiliations
                [1 ]Faculty of Psychology, Technische Universität Dresden DresdenGermany
                [2 ]Max Planck Research Group Neural Mechanism of Human Communication, Max Planck Institute for Human Cognitive and Brain Sciences LeipzigGermany
                [3 ]Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden DresdenGermany
                [4 ]Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences LeipzigGermany
                Carnegie Mellon University United States
                University of Newcastle United Kingdom
                University of Newcastle United Kingdom
                University of Salamanca Spain
                Author information
                https://orcid.org/0000-0002-8643-1543
                https://orcid.org/0000-0002-5052-1117
                https://orcid.org/0000-0001-7989-5860
                Article
                64501
                10.7554/eLife.64501
                7785290
                33289479
                9cf2decb-220b-4173-9dde-8b4592fc4de5
                © 2020, Tabas et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 30 October 2020
                : 03 December 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: SENSOCOM (647051)
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004875, DFG;
                Award ID: EXC 2050/1-Project ID 390696704
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Neuroscience
                Custom metadata
                Representations in the subcortical sensory pathway do not only adapt to stimulus properties but also rely on the observer’s subjective model of the world.

                Life sciences
                predictive coding,thalamus,mgb,ic,ssa,sensory processing,human
                Life sciences
                predictive coding, thalamus, mgb, ic, ssa, sensory processing, human

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