Read our latest finding Increased region of surround stimulation enhances contextual feedback and feedforward processing in human V1, where we used fMRI to measure how the availability of contextual information modulates the presence of detectable feedback signals in non-stimulated V1.
Our recent paper Scene Representations Conveyed by Cortical Feedback to Early Visual Cortex Can be Described by Line Drawings was recognised as a Spotlight article by the Journal of Neuroscience, among the articles receiving the highest marks from reviewers during 2019.
We're happy to announce the 2022 OHBM Annual Meeting will take place in Glasgow.
Lars will give a keynote at ABIM in Champery about visual predictions in layers of cortex, more info here.
In Glasgow, Lars will host with Tony Prescott (University of Sheffield) a Human Brain Project Curriculum Workshop Series - Cognitive Systems ‘Modern trends in cognitive architectures and systems: From theory to implementation in natural and artificial agents’. See here for registration details.
Lars will speak at the “Spatio-temporal mechanisms of generative perception” workshop, organised by David Burr and Marco Turi, in Matera, Italy. He will also speak at the “Roles and Mechanisms of Cortico-cortical Feedback” workshop, organized by Timo van Kerkoerle (NeuroSpin) and Alain Destexhe (CNRS) at The European Institute for Theoretical Neuroscience in Paris. Lars will also speak at the Cambridge Brain MRI meeting, at the Wolfson Brain Imaging Centre, University of Cambridge.
Lars will organise a Human Brain Project workshop at the European Institute for Theoretical Neuroscience in Paris with Elisa Santandrea (University of Verona) and Alain Destexhe (CNRS), on ‘Perception and attention mechanisms in the primate brain: An integrated, multi-component perspective’. The goal of the workshop is to introduce a recently funded HBP Partnering Project, the MAC-Brain Project, coordinated by Professor Leonardo Chelazzi.
We published online on OpenNeuro some anatomical data as a demonstration of our automatic brain segmentation tool https://openneuro.org/datasets/ds002207/versions/1.0.0. The paper describing the analysis can be found here: https://arxiv.org/abs/1909.05085 "CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI".