The brain is a massively parallel computer. In the human brain, 86 billion neurons convert synaptic inputs into action potential (AP) output. Moreover, even at the subcellular level, computations proceed in a massively parallel fashion, e.g. in each dendritic compartment. It is only natural, thus, to use the parallelisation and vectorisation capabilities of modern supercomputers to simulate...
In this introductory level tutorial we will introduce participants to analyzing electrophysiological data from a neural network simulation using the tools Neo (https://neuralensemble.org/neo) for representing and handling the data and Elephant (https://python-elephant.org) for performing the actual analysis. We will cover the basic Neo data objects and how to load simulation outcomes into the...
NESTML is a domain-specific modeling language for neuron models and synaptic plasticity rules[1]. It is designed to support researchers in computational neuroscience to specify models in a precise and intuitive way. These models can subsequently be used in dynamical simulations of spiking neural networks on several platforms, particularly the NEST Simulator[2]. However, specification of the...
