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The :py:mod:`spikeinterface.generation` provides functions to generate recordings containing spikes.
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This module proposes several approaches for this including purely synthetic recordings as well as "hybrid" recordings (where templates come from true datasets).
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The :py:mod:`spikeinterface.generation` provides functions to generate recordings containing spikes,
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which can be used as "ground-truth" for benchmarking spike sorting algorithms.
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There are several approaches to generating such recordings.
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One possibility is to generate purely synthetic recordings. Another approach is to use real
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recordings and add synthetic spikes to them, to make "hybrid" recordings.
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The advantage of the former is that the ground-truth is known exactly, which is useful for benchmarking.
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The advantage of the latter is that the spikes are added to real noise, which can be more realistic.
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The :py:mod:`spikeinterface.core.generate` already provides functions for generating synthetic data but this module will supply an extended and more complex
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machinery, for instance generating recordings that possess various types of drift.
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For hybrid recordings, the main challenge is to generate realistic spike templates.
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We therefore built an open database of templates that we have constructed from the International
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