EnaS: a new software for neural population analysis in large scale spiking networks

Hassan Nasser, Selim Kraria, Bruno Cessac
2013 BMC Neuroscience  
With the advent of new Multi-Electrode Arrays techniques (MEA), the simultaneous recording of the activity up to hundreds of neurons over a dense configuration supplies today a critical database to unravel the role of specific neural assemblies. Thus, the analysis of spike trains obtained from in vivo or in vitro experimental data requires suitable statistical models and computational tools. The EnaS software [7], developed by our team, offers new computational methods of spike train
more » ... ke train statistics, based on Gibbs distributions (in its more general sense, including, but not limited, to the Maximal Entropy -MaxEnt) and taking into account time constraints in neural networks (such as memory effects). It also offers several statistical model choices, some of these models already used in the community (such GLM [6] and the conditional Figure 1 The GUI of EnaS. This page allows displaying a spike-train, showing the firing rates and configuring the binning value (sampling rate) of the data. It also allows selecting a subset of neurons and sorting the neurons with respect to their activity. Nasser et al. BMC Neuroscience 2013, 14(Suppl 1):P57
doi:10.1186/1471-2202-14-s1-p57 fatcat:u7vrwxdlhrh5rf2ormbpmnprbi