Deep neural generation of neuronal spikes
Deep neural generation of neuronal spikes
复制标题
神经元尖峰的深层神经生成
DOI：
10.1101/2023.03.05.531237
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Shimono Masanori
中科院分区：
文献类型：
--
作者：
Nakajima Ryota;Shirakami Arata;Tsumura Hayato;Matsuda Kouki;Nakamura Eita;Shimono Masanori
在大脑中，许多区域以类似网络的关联方式工作，但目前尚不清楚这些关联在活动方面的持久性以及在没有结构连接的情况下是否可以生存。为了用新的“生成”方法评估大脑区域之间的关联或相似性，本研究评估了区域之间断开后每个区域内细胞水平上神经元活动的相似性。为此，使用了多层LSTM（长短期记忆）模型。令人惊讶的是，结果显示，在许多情况下，从一个区域到其他断开连接的区域的活动的产生与相同区域之间的产生具有相似的再现精度。值得注意的是，不仅放电率，而且神经元对之间的同步放电，这是经常被用作神经元的表示，可以复制相当精确。此外，它们的准确性与大脑区域之间的相对距离以及最初连接它们的结构连接的强度有关。这一结果不仅使我们能够基于产生新的信息数据的潜力来研究神经科学的原理，而且还创造了尚未被足够数量测量的神经活动，并可能导致减少动物实验。
In the brain, many regions work in a network-like association, yet it is not known how durable these associations are in terms of activity and could survive without structural connections. To assess the association or similarity between brain regions with a new “generating” approach, this study evaluated the similarity of activities of neurons at the cellular level within each region after disconnecting between regions. To this end, a multi-layer LSTM (Long-Short Term Memory) model was used. Surprisingly, the results revealed that generation of activity from one region to other regions that had been disconnected was possible with similar reproduction accuracy as generation between the same regions in many cases. Notably, not only firing rates but also synchronization of firing between neuron pairs, which is often used as neuronal representations, could be reproduced with considerable precision. Additionally, their accuracies were associated with the relative distance between brain regions and the strength of the structural connections that initially connected them. This outcome not only enables us to look into principles in neuroscience based on the potential to generate new informative data, but also creates neural activity that has not been measured in adequate amounts and could potentially lead to reduced animal experiments.
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影响因子：
64.8
作者：
通讯作者：
--
影响因子：
3.7
作者：
Felleman, Daniel J.;Van Essen, David C.
通讯作者：
Van Essen, David C.
影响因子：
3.7
作者：
Törnqvist E;Annas A;Granath B;Jalkesten E;Cotgreave I;Öberg M
通讯作者：
Öberg M
DOI：
10.1098/rstb.2005.1625
发表时间：
2005-04-29
影响因子：
6.3
作者：
Kötter, R;Wanke, E
通讯作者：
Wanke, E
影响因子：
3.5
作者：
Feldotto, Benedikt;Eppler, Jochen Martin;Jimenez-Romero, Cristian;Bignamini, Christopher;Gutierrez, Carlos Enrique;Albanese, Ugo;Retamino, Eloy;Vorobev, Viktor;Zolfaghari, Vahid;Upton, Alex;Sun, Zhe;Yamaura, Hiroshi;Heidarinejad, Morteza;Klijn, Wouter;Morrison, Abigail;Cruz, Felipe;McMurtrie, Colin;Knoll, Alois C.;Igarashi, Jun;Yamazaki, Tadashi;Doya, Kenji;Morin, Fabrice O.
通讯作者：
Morin, Fabrice O.