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Written by | Chen Wenqiang is responsible for editing |
Over the past few decades, much of the understanding of brain function has been achieved through early electrophysiological recordings, which require the identification
of the dynamic activity of neuronal populations in specific brain regions.
One of the two points in this paper is that combined with the computational neurobiological model and a large amount of experimental biological data generated by in vivo calcium imaging records and multi-channel recordings, a trLFADS model that can be used for training is proposed, which can generate experimental hypotheses with further testing value
.
Plate Maker: Eleven
1.
Over the past few decades, much of the understanding of brain function has been achieved through early electrophysiological recordings, which require the identification
of the dynamic activity of neuronal populations in specific brain regions.
Figure 5.
Using optogenetic manipulation and reward experience manipulation, the researchers experimentally verified the dynamic model of linear attractors
One of the two points in this paper is that combined with the computational neurobiological model and a large amount of experimental biological data generated by in vivo calcium imaging records and multi-channel recordings, a trLFADS model that can be used for training is proposed, which can generate experimental hypotheses with further testing value
.
https://doi.
Plate Maker: Eleven
References
1.
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