activity
20062026
most citedReconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity

51 citations · 140 across the 14 of their papers we have counts for

collaborators
Showing q-bio.NCShow all

8 papers · 1 filter

q-bio.NC2026

Rewiring of adult neural networks - learning from structural plasticity across multiple scales

Michael Fauth, Han Lu, Jannik Luboeinski +36

Synaptic connections are continuously formed and eliminated even in adult neuronal networks. This process - called structural plasticity - allows networks to change their topology…

q-bio.NC2025

SymSeqBench: a unified framework for the generation and analysis of rule-based symbolic sequences and datasets

Barna Zajzon, Younes Bouhadjar, Maxime Fabre +5

Sequential structure is a key feature of multiple domains of natural cognition and behavior, such as language, movement and decision-making. Likewise, it is also a central property…

q-bio.NC2023★ 10 cited

Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices

Bruno Golosio, Jose Villamar, Gianmarco Tiddia +6

Simulation speed matters for neuroscientific research: this includes not only how quickly the simulated model time of a large-scale spiking neuronal network progresses, but also ho…

q-bio.NC2022★ 1 cited

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…

q-bio.NC2019★ 21 cited

Firing rate homeostasis counteracts changes in stability of recurrent neural networks caused by synapse loss in Alzheimer's disease

Claudia Bachmann, Tom Tetzlaff, Renato Duarte +1

The impairment of cognitive function in Alzheimer's is clearly correlated to synapse loss. However, the mechanisms underlying this correlation are only poorly understood. Here, we…

q-bio.NC2017★ 1 cited

Closing the loop between neural network simulators and the OpenAI Gym

Jakob Jordan, Philipp Weidel, Abigail Morrison

Since the enormous breakthroughs in machine learning over the last decade, functional neural network models are of growing interest for many researchers in the field of computation…