Analysis of spike and local field potential (LFP) data is an essential part of neuroscientific
research. Today there exist many open-source toolboxes for spike and LFP data analysis …

Real-time simulation of a large-scale biologically representative spiking neural network is
presented, through the use of a heterogeneous parallelization scheme and SpiNNaker …

Grid cells in the medial entorhinal cortex (MEC) exhibit remarkable spatial activity patterns
with spikes coordinated by theta oscillations driven by the medial septal area (MSA). Spikes …

Learning and development in real brains typically happens over long timescales, making
long-term exploration of these features a significant research challenge. One way to address …

Neuronal signals generally represent activation of the neuronal networks and give insights
into brain functionalities. They are considered as fingerprints of actions and their processing …

Numerous Brain computer interface (BCI) assistive software applications or toolboxes help
to monitor the status of brain through Electroencephalogram (EEG); however, currently there …

Workflows for the acquisition and analysis of data in the natural sciences exhibit a growing
degree of complexity and heterogeneity, are increasingly performed in large collaborative …

Recent technological advances have enabled neural recordings consisting of hundreds to
thousands of channels. As the pace of these developments continues to grow rapidly, it is …

The neural recordings in the form of local field potentials offer useful insights on higher-level
neural functions by providing information about the activation and deactivation of neural …

Running scientific workflows on a supercomputer can be a daunting task for a scientific
domain specialist. Workflow management solutions (WMS) are a standard method for …