173 citations · 1.1k across the 21 of their papers we have counts for
21 papers
Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism
Agnes Korcsak-Gorzo, Jesús A. Espinoza Valverde, Jonas Stapmanns +5
Despite remarkable technological advances, AI systems may still benefit from biological principles, such as recurrent connectivity and energy-efficient mechanisms. Drawing inspirat…
Constructive community race: full-density spiking neural network model drives neuromorphic computing
Johanna Senk, Anno C. Kurth, Steve Furber +18
The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a mo…
Assessing the similarity of real matrices with arbitrary shape
Jasper Albers, Anno C. Kurth, Robin Gutzen +5
Assessing the similarity of matrices is valuable for analyzing the extent to which data sets exhibit common features in tasks such as data clustering, dimensionality reduction, pat…
Unified neural field theory of brain dynamics underlying oscillations in Parkinson's disease and generalized epilepsies
Eli J Müller, Sacha J van Albada, Jong-Won Kim +1
The mechanisms underlying pathologically synchronized neural oscillations in Parkinson's disease (PD) and generalized epilepsies are jointly explored via a neural field model of th…
A method for the ethical analysis of brain-inspired AI
Michele Farisco, Gianluca Baldassarre, Emilio Cartoni +6
Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limita…
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…
Connectivity Concepts in Neuronal Network Modeling
Johanna Senk, Birgit Kriener, Mikael Djurfeldt +7
Sustainable research on computational models of neuronal networks requires published models to be understandable, reproducible, and extendable. Missing details or ambiguities about…
Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex
Sacha Jennifer van Albada, Jari Pronold, Alexander van Meegen +1
We are entering an age of `big' computational neuroscience, in which neural network models are increasing in size and in numbers of underlying data sets. Consolidating the zoo of m…
Bringing Anatomical Information into Neuronal Network Models
Sacha Jennifer van Albada, Aitor Morales-Gregorio, Timo Dickscheid +6
For constructing neuronal network models computational neuroscientists have access to wide-ranging anatomical data that nevertheless tend to cover only a fraction of the parameters…
Cortical oscillations implement a backbone for sampling-based computation in spiking neural networks
Agnes Korcsak-Gorzo, Michael G. Müller, Andreas Baumbach +7
Being permanently confronted with an uncertain world, brains have faced evolutionary pressure to represent this uncertainty in order to respond appropriately. Often, this requires…
A Microscopic Theory of Intrinsic Timescales in Spiking Neural Networks
Alexander van Meegen, Sacha J. van Albada
A complex interplay of single-neuron properties and the recurrent network structure shapes the activity of cortical neurons. The single-neuron activity statistics differ in general…
Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space
Johanna Senk, Espen Hagen, Sacha J. van Albada +1
Multi-electrode arrays covering several square millimeters of neural tissue provide simultaneous access to population signals such as extracellular potentials and spiking activity…
Mean-field modeling of the basal ganglia-thalamocortical system. I. Firing rates in healthy and parkinsonian states
Sacha Jennifer van Albada, Peter A. Robinson
Parkinsonism leads to various electrophysiological changes in the basal ganglia-thalamocortical system (BGTCS), often including elevated discharge rates of the subthalamic nucleus…
Mean-field modeling of the basal ganglia-thalamocortical system. II. Dynamics of parkinsonian oscillations
Sacha Jennifer van Albada, Richard T. Gray, Peter M. Drysdale +1
Neuronal correlates of Parkinson's disease (PD) include a slowing of the electroencephalogram (EEG) and enhanced synchrony at 3-7 and 7-30 Hz in the basal ganglia, thalamus, and co…
Transformation of arbitrary distributions to the normal distribution with application to EEG test-retest reliability
Sacha Jennifer van Albada, Peter A. Robinson
Many variables in the social, physical, and biosciences, including neuroscience, are non-normally distributed. To improve the statistical properties of such data, or to allow param…
Variability of model-free and model-based quantitative measures of EEG
Sacha Jennifer van Albada, Christopher J. Rennie, Peter A. Robinson
The extent of intra-individual and inter-individual variability is an important factor in determining the statistical, and hence possibly clinical, significance of observed differe…
Boundary Dynamics of Three-Dimensional Asymptotically Anti-de Sitter Space-Times
Sacha Jennifer van Albada
This thesis is organized as follows. In Chapter 2, some preliminaries are given on isometries and conformal symmetries, and we become familiar with the Virasoro algebra. Two exampl…
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.…
Hybrid scheme for modeling local field potentials from point-neuron networks
Espen Hagen, David Dahmen, Maria L. Stavrinou +6
Due to rapid advances in multielectrode recording technology, the local field potential (LFP) has again become a popular measure of neuronal activity in both basic research and cli…
Fundamental activity constraints lead to specific interpretations of the connectome
Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada +2
The continuous integration of experimental data into coherent models of the brain is an increasing challenge of modern neuroscience. Such models provide a bridge between structure…
Scalability of asynchronous networks is limited by one-to-one mapping between effective connectivity and correlations
Sacha Jennifer van Albada, Moritz Helias, Markus Diesmann
Network models are routinely downscaled compared to nature in terms of numbers of nodes or edges because of a lack of computational resources, often without explicit mention of the…