Publications by authors named "Heiko Neumann"

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A model of thalamo-cortical interaction for incremental binding in mental contour-tracing.
Daniel Schmid, Heiko Neumann

PLoS Comput Biol· May 2025

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Teaching deep networks to see shape: Lessons from a simplified visual world.
Christian Jarvers, Heiko Neumann

PLoS Comput Biol· November 2024

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Canonical circuit computations for computer vision.
Daniel Schmid, Christian Jarvers, Heiko Neumann

Biol Cybern· October 2023

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Listen to the Brain-Auditory Sound Source Localization in Neuromorphic Computing Architectures.
Daniel Schmid, Timo Oess, Heiko Neumann

Sensors (Basel)· May 2023

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Computational principles of neural adaptation for binaural signal integration.
Timo Oess, Marc O Ernst, Heiko Neumann

PLoS Comput Biol· July 2020

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From Near-Optimal Bayesian Integration to Neuromorphic Hardware: A Neural Network Model of Multisensory Integration.
Timo Oess, Maximilian P R Löhr, Daniel Schmid, Marc O Ernst, Heiko Neumann

Front Neurorobot· May 2020

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The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics.
Selam W Habtegiorgis, Christian Jarvers, Katharina Rifai, Heiko Neumann, Siegfried Wahl

Front Neural Circuits· July 2019

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Points and Stripes: A Novel Technique for Masking Biological Motion Point-Light Stimuli.
Georg Layher, Heiko Neumann

Front Psychol· August 2018

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Adipose Tissue Distribution Predicts Survival in Amyotrophic Lateral Sclerosis.
Eva Lindauer, Luc Dupuis, Hans-Peter Müller, Heiko Neumann, Albert C Ludolph

PLoS One· October 2017

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Biologically Inspired Model for Inference of 3D Shape from Texture.
Olman Gomez, Heiko Neumann

PLoS One· August 2017

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Identifying Features of Bodily Expression As Indicators of Emotional Experience during Multimedia Learning.
Valentin Riemer, Julian Frommel, Georg Layher, Heiko Neumann, Claudia Schrader

Front Psychol· July 2017

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Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture.
Georg Layher, Tobias Brosch, Heiko Neumann

Front Neurorobot· March 2017

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Reversal Learning in Humans and Gerbils: Dynamic Control Network Facilitates Learning.
Christian Jarvers, Tobias Brosch, André Brechmann, Marie L Woldeit, Andreas L Schulz, Heiko Neumann

Front Neurosci· November 2016

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Neural Mechanisms of Cortical Motion Computation Based on a Neuromorphic Sensory System.
Luma Issa Abdul-Kreem, Heiko Neumann

PLoS One· June 2016

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Self-gated tissue phase mapping using golden angle radial sparse SENSE.
Jan Paul, Stefan Wundrak, Peter Bernhardt, Wolfgang Rottbauer, Heiko Neumann

Magn Reson Med· February 2016

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Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks.
Tobias Brosch, Heiko Neumann, Pieter R Roelfsema

PLoS Comput Biol· October 2015

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Embodied learning of a generative neural model for biological motion perception and inference.
Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V Butz

Front Comput Neurosci· July 2015

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On event-based optical flow detection.
Tobias Brosch, Stephan Tschechne, Heiko Neumann

Front Neurosci· May 2015

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High-resolution respiratory self-gated golden angle cardiac MRI: Comparison of self-gating methods in combination with k-t SPARSE SENSE.
Jan Paul, Evica Divkovic, Stefan Wundrak, Peter Bernhardt, Wolfgang Rottbauer, Heiko Neumann

Magn Reson Med· January 2015

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Computing with a canonical neural circuits model with pool normalization and modulating feedback.
Tobias Brosch, Heiko Neumann

Neural Comput· December 2014

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Adaptive learning in a compartmental model of visual cortex-how feedback enables stable category learning and refinement.
Georg Layher, Fabian Schrodt, Martin V Butz, Heiko Neumann

Front Psychol· December 2014

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Hierarchical representation of shapes in visual cortex-from localized features to figural shape segregation.
Stephan Tschechne, Heiko Neumann

Front Comput Neurosci· August 2014

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Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations.
Tobias Brosch, Heiko Neumann

Neural Netw· June 2014

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A bio-inspired, computational model suggests velocity gradients of optic flow locally encode ordinal depth at surface borders and globally they encode self-motion.
Florian Raudies, Stefan Ringbauer, Heiko Neumann

Neural Comput· September 2013

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Modeling heading and path perception from optic flow in the case of independently moving objects.
Florian Raudies, Heiko Neumann

Front Behav Neurosci· April 2013

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