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With this in mind, we developed NeuroMatic ( RRID:SCR_004186), an integrated software package capable of performing a variety of patch-clamp recordings, data analysis routines and simulations of neural activity. Such logs would improve research efficiency, documentation and reproducibility ( Eglen et al., 2017 Munafò et al., 2017). A unified package would also facilitate the creation of comprehensive logs of the researcher's activity, from acquisition to analysis and simulation to the generation of tables and graphs. Similarly, trains of synaptic conductance waveforms can be simulated with different rise and decay kinetics and then sequentially injected into a neuron via dynamic clamp. For example, online analysis during data acquisition can provide an immediate source of feedback for a stimulus protocol: recently acquired current-clamp data, such as action potentials, can be quickly repackaged as voltage-clamp commands to be applied to the same neuron to quantify the underlying currents. Besides efficiency, however, such a unified package would enable a more integrated style of research. A single unified package capable of performing acquisition, analysis and simulations, and creating publication-quality graphics, would substantially simplify this workflow, making it more efficient. They may use yet another package to create publication-quality graphics. Hence, the majority of electrophysiologists find themselves acquiring data with one package, importing the acquired data into another package to perform data analysis, and using another package to perform simulations. Software packages for electrophysiological research are usually specialized to perform either data acquisition, data analysis or neuronal simulations, with little crossover in functionality. NeuroMatic version 3.0 can be found at and.

Since its original release, NeuroMatic has been used in a wide range of scientific studies and its user base has grown considerably.

Moreover, NeuroMatic has the advantage of working within Igor Pro, a platform-independent environment that includes an extensive library of built-in functions, a history window for reviewing the user's workflow and the ability to produce publication-quality graphics. The merging of a wide range of tools into a single package facilitates a more integrated style of research, from the development of online analysis functions during data acquisition, to the simulation of synaptic conductance trains during dynamic-clamp experiments. To address this, we developed NeuroMatic, an open-source software toolkit that performs data acquisition (episodic, continuous and triggered recordings), data analysis (spike rasters, spontaneous event detection, curve fitting, stationarity) and simulations (stochastic synaptic transmission, synaptic short-term plasticity, integrate-and-fire and Hodgkin-Huxley-like single-compartment models). It also complicates certain experimental approaches such as online analysis. This makes it difficult to conserve experimental metadata and track the analysis performed.

Department of Neuroscience, Physiology and Pharmacology, University College London, London, United KingdomĪcquisition, analysis and simulation of electrophysiological properties of the nervous system require multiple software packages.

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Igor pro if with less than and greaterthan