Spiking neural network simulations are establishing themselves as an effective tool for studying the dynamics of neuronal populations and the relationship between these dynamics and brain functions. Further, advances in computational resources and technologies are increasingly enabling large-scale simulations capable of describing brain regions in detail. NEST GPU [1,2] is a GPU-based...
It is common for animals to use self-generated movements to actively sense the surrounding environment. For instance, rodents rhythmically move their whiskers to explore the space close to their body. The mouse whisker system has become a standard model for studying active sensing and sensorimotor integration through feedback loops. In this work, we developed a bioinspired spiking neural...
Despite the great strides neuroscience has made in recent decades, the underlying principles of brain function remain largely unknown. Advancing the field strongly depends on the ability to study large-scale neural networks and perform complex simulations. In this context, simulations in hyper-real-time are of high interest, but even the fastest supercomputer available today is not able to...
Information from the sensory periphery is conveyed to the cortex via structured projection pathways that spatially segregate stimulus features, providing a robust and efficient encoding strategy. Beyond sensory encoding, this prominent anatomical feature extends throughout the neocortex. However, the extent to which it influences cortical processing is unclear.
In this study, we combine...
NEST Simulator runs on a multitude of different hardware platforms and operating systems. In the past year huge advances in infrastructure and deployments have made NEST available through different channels [1, 2, 3, 4], each offering unique features for various use-cases. In this talk we will highlight some of the available possibilities and give an overview of the tool and service...
Computational neuroscientists have not yet agreed on a common way to describe high-level connectivity patterns in neuronal network models. Furthermore, different studies use different symbols to represent connectivity in network diagrams. This diversity of connectivity descriptions and depictions makes it more difficult to understand and reproduce modeling results. This issue is compounded by...
