Neurons exhibit intrinsic sources of stochasticity which impact on their spiking behavior. These sources include fluctuations in ion channel gating and diffusion, as well as stochastic release of neurotransmitters. As a result, even when responding to identical inputs, there can be significant variability in spike timing.
The Galves–Löcherbach (GL) model [1] is a stochastic neuron model that...
Implementing bioinspired neural networks in silico is a powerful tool for studying brain processes. These networks grant access to the real-time behavior of individual neurons within a complex circuitry, such as the ones executing neurosensory functions.
This contriubtion proposes a computational model to study how the mammalian brainstem implements sound localization: the ability to...
Nitric Oxide (NO) is an essential molecule involved in the synaptic plasticity of many areas of the brain and in neurovascular coupling. NO is known to be present in the cerebellum, both in the Granular and the Molecular layers and it is thought to have an enabling function in plasticity mechanisms. NO plasticity dependency has been investigated mainly in experimental studies, and few...
Simulating brain-scale models requires parallel computers to provide enough memory to represent network connectivity and efficient instantiation of complex network connectivity on massively parallel computers. While scalable data structures and algorithms for storing and accessing connections in parallel are available [1-3], efficient parallel instantiation of such networks has received less...
The alpha rhythm (~10 Hz) is a prominent feature in the electroencephalograms of various mammals and is associated with reduced visual attention and with functions such as timing regulation and transmission facilitation [1]. Although the exact mechanism of alpha rhythm generation is still unclear, the thalamus and cortex have been proposed as possible protagonists. In this study, a...
NEST Desktop is a web-based GUI application for NEST Simulator [1, 2]. It has been established as an useful tool to guide students and newcomers to learn the concept of computational neuroscience. Here, the user is able to perform virtual experiment on local machine or on public website [3].
In the last years NEST Desktop has been enhanced to communicate with different applications such as...
The team at NEST Simulator strive to develop a great tool and related services for its community. Here we share some highlights of the impact NEST has had on the computational neuroscientific community, and beyond. And we provide an overview of the state of documentation, install packages, and online services.
NEST also provides a wealth of documentation for working with NEST, including...
Spatial learning is critical for survival and its underlying neuronal mechanisms have been studied extensively. Much is known about the neural representations of space, e.g. place cells(PC) and border cells(BC) in the hippocampus. However, little is known about the functional role in spatial navigation and spatial learning. We extended an existing computational modeling tool-chain to study the...
Efficient simulation of large-scale spiking neuronal networks is important for neuroscientific research, and both the simulation speed and the time it takes to instantiate the network in computer memory are key factors. In recent years, hardware acceleration through highly parallel GPUs has become increasingly popular. Similarly, code generation approaches have been utilized to optimize...
