SpikeAI / 2022-11_brainhack_DetecSpikMotifs

2022-11_brainhack_DetecSpikMotifs: Automatic detection of spiking motifs in neurobiological data. This project aims to develop a method for the automated detection of repeating spiking motifs, possibly noisy, in ongoing activity.
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Smith and Kohn 2008 #4

Open laurentperrinet opened 1 year ago

laurentperrinet commented 1 year ago
laurentperrinet commented 1 year ago

from Bellec's supplementary:

V1-dataset The dataset we used was collected by Smith and Kohn [49] and is publicly available at: http://crcns.org/data-sets/vc/pvc-11. In summary, macaque monkeys were anesthetized with Utah arrays placed in the primary visual cortex (V1). In our analysis, we considered population spiking activity of monkey-I in response to a gray-scale natural movie. The movie is about a monkey wading through water. It lasts for 30 seconds (with sampling rate 25Hz) and was played repeatedly for 120 times. Similarly as in [21], we used the last 26 seconds of the movies and recordings. Each frame of the movie has 320 × 320 pixels and we downsampled them to 27 × 27 pixels. We used the recording from the 69 neurons with time bins 40ms and considered that there cannot be more than one spike per bin (5% of the time bins had more than one spike).