1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Radboud University NijmegenNL50 papers
- Radboud University Medical CenterNL11 papers
- Delft University of TechnologyNL5 papers
- Donders Centre for NeuroscienceNL4 papers
- Harvard UniversityUS3 papers
- Jülich Aachen Research AllianceDE3 papers
- King's College LondonGB3 papers
- Technical University of MunichDE3 papers
- Bernstein Center for Computational Neuroscience GöttingenDE2 papers
- Brigham and Women's HospitalUS2 papers
- Columbia UniversityUS2 papers
- Eindhoven University of TechnologyNL2 papers
16 papers · 1 filter
Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density
Agnes Korcsak-Gorzo, Charl Linssen, Jasper Albers +9
This chapter sheds light on the synaptic organization of the brain from the perspective of computational neuroscience. It provides an introductory overview on how to account for em…
The world seems different in a social context: a neural network analysis of human experimental data
Maria Tsfasman, Anja Philippsen, Carlo Mazzola +3
Human perception and behavior are affected by the situational context, in particular during social interactions. A recent study demonstrated that humans perceive visual stimuli dif…
Tracking Naturalistic Linguistic Predictions with Deep Neural Language Models
Micha Heilbron, Benedikt Ehinger, Peter Hagoort +1
Prediction in language has traditionally been studied using simple designs in which neural responses to expected and unexpected words are compared in a categorical fashion. However…
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
Pablo Lanillos, Daniel Oliva, Anja Philippsen +3
This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep network architectures…
The nature of the animacy organization in human ventral temporal cortex
Sushrut Thorat, Daria Proklova, Marius V. Peelen
The principles underlying the animacy organization of the ventral temporal cortex (VTC) remain hotly debated, with recent evidence pointing to an animacy continuum rather than a di…
Recurrence is required to capture the representational dynamics of the human visual system
Tim C Kietzmann, Courtney J Spoerer, Lynn Sörensen +3
The human visual system is an intricate network of brain regions that enables us to recognize the world around us. Despite its abundant lateral and feedback connections, object pro…
Modeling the dynamics of human brain activity with recurrent neural networks
Umut Güçlü, Marcel A. J. van Gerven
Encoding models are used for predicting brain activity in response to sensory stimuli with the objective of elucidating how sensory information is represented in the brain. Encodin…
Brains on Beats
Umut Güçlü, Jordy Thielen, Michael Hanke +1
We developed task-optimized deep neural networks (DNNs) that achieved state-of-the-art performance in different evaluation scenarios for automatic music tagging. These DNNs were su…
Dynamic Decomposition of Spatiotemporal Neural Signals
Luca Ambrogioni, Marcel A. J. van Gerven, Eric Maris
Neural signals are characterized by rich temporal and spatiotemporal dynamics that reflect the organization of cortical networks. Theoretical research has shown how neural networks…
Full-density multi-scale account of structure and dynamics of macaque visual cortex
Maximilian Schmidt, Rembrandt Bakker, Kelly Shen +4
We present a multi-scale spiking network model of all vision-related areas of macaque cortex that represents each area by a full-scale microcircuit with area-specific architecture.…
Learning universal computations with spikes
Dominik Thalmeier, Marvin Uhlmann, Hilbert J. Kappen +1
Providing the neurobiological basis of information processing in higher animals, spiking neural networks must be able to learn a variety of complicated computations, including the…
Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Brain's Ventral Visual Pathway
Umut Güçlü, Marcel A. J. van Gerven
Converging evidence suggests that the mammalian ventral visual pathway encodes increasingly complex stimulus features in downstream areas. Using deep convolutional neural networks,…
The Scalable Brain Atlas: instant web-based access to public brain atlases and related content
Rembrandt Bakker, Paul Tiesinga, Rolf Kötter
The Scalable Brain Atlas (SBA) is a collection of web services that provide unified access to a large collection of brain atlas templates for different species. Its main component…
Guiding synchrony through random networks
Sven Jahnke, Marc Timme, Raoul-Martin Memmesheimer
Sparse random networks contain structures that can be considered as diluted feed-forward networks. Modeling of cortical circuits has shown that feed-forward structures, if strongly…
Irregular dynamics in up and down cortical states
Jorge F. Mejias, Hilbert J. Kappen, Joaquin J. Torres
Complex coherent dynamics is present in a wide variety of neural systems. A typical example is the voltage transitions between up and down states observed in cortical areas in the…
A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale
Jason W. Bohland, Caizhi Wu, Helen Barbas +34
In this era of complete genomes, our knowledge of neuroanatomical circuitry remains surprisingly sparse. Such knowledge is however critical both for basic and clinical research int…