これは2024-07-04 10:36:48 UTCで公開された古いバージョンです。最新バージョンをお読みください。
プレプリント / バージョン1

Data for Brain Reference Architecture of YM24Amygdala

##article.authors##

  • Maruyama, Yohei The Whole Brain Architecture Initiative
  • Miyamoto, Tatsuya Graduate school of Advanced Science and Engineering, Waseda University
  • Tawatsuji, Yoshimasa Graduate School of Engineering, The University of Tokyo, The Whole Brain Architecture Initiative
  • Yamakawa, Hiroshi Graduate School of Engineering, The University of Tokyo, The Whole Brain Architecture Initiative

DOI:

https://doi.org/10.51094/jxiv.775

キーワード:

motif、 Funciton Realization Graph、 Brain Information Flow、 amygdala、 fear conditioning

抄録

The dataset covers fear conditioning in the amygdala, including Brain Information Flow (BIF) data related to the amygdala’ s fear conditioning circuitry. The data was collected in alignment with anatomical and neural dynamics and reconstructed using functionally organized motifs for the construction of Functional Reference Graphs (FRG). By using motifs, it enables the identification of frequently observed patterns as functional modules within the amygdala. This facilitates a detailed analysis of the amygdala’ s BIF circuitry from a bottom-up perspective, aiding in the construction of FRG graphs and enhancing our comprehension of the neural circuitry’s overall function. This data is organized into brain reference architecture (BRA) format. The dataset is stored in the BRA Data Repository and is readily accessible for research purposes.

利益相反に関する開示

Yoshimasa Tawatsuji and Hiroshi Yamakawa are managers of BRAES but did not take part in the editorial process or decisions pertaining to this manuscript.

ダウンロード *前日までの集計結果を表示します

ダウンロード実績データは、公開の翌日以降に作成されます。

引用文献

Braganza, O., & Beck, H. (2018). The circuit motif as a conceptual tool for multilevel neuroscience. Trends Neurosci., 41(3), 128-136. DOI: 10.1016/j.tins.2018.01.002

C. Alex Goddard, A. S. B. J. R. H., Shreesh P. Mysore, & Knudsen, E. I. (2014). Spatially reciprocal inhibition of inhibition within a stimulus selection network in the avian midbrain. PLOS ONE, 9(1). DOI: 10.1371/journal.pone.0085865

Luo, L. (2020). Principles of neurobiology. New York: Garland Science. DOI: 10.1201/9781003053972

Luo, L. (2021). Architectures of neuronal circuits. Science, 373(6559). DOI: 10.1126/science.abg7285

Maren, S. (2001). Neurobiology of pavlovian fear conditioning. Annual Review of Neuroscience, 24. DOI: 10.1146/annurev.neuro.24.1.897

Quirk, G. J., Repa, J. C., & LeDoux, J. E. (1995). Fear conditioning enhances short-latency auditory responses of lateral amygdala neurons: Parallel recordings in the freely behaving rat. Neuron, 15(5), 1029-1039.

Sun, Y., Gooch, H., & Sah, P. (2020). Fear conditioning and the basolateral amygdala. F1000Research, 9(53).

Yamakawa, H. (2021). The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain. Neural Networks, 144, 478�495. DOI: 10.1016/j.neunet.2021.09.00

ダウンロード

公開済


投稿日時: 2024-06-27 23:30:18 UTC

公開日時: 2024-07-04 10:36:48 UTC

バージョン

改版理由

研究分野
生物学・生命科学・基礎医学