Neural Mechanism to Simulate a Scale-Invariant Future
Neural Mechanism to Simulate a Scale-Invariant Future
复制标题
模拟尺度不变未来的神经机制
作者：
Karthik H. Shankar;Inder Singh;Marc W Howard
预测未来事件的时间和顺序是高等生命形式的认知的基本特征。我们提出了一种非破坏性地将时空记忆的当前状态转化为未来的神经机制，从而几乎在瞬间构建一个有序的未来预测集。我们假设，在海马体θ波振荡的每个周期中，记忆状态通过一系列的翻译，通过突触连接的调节产生一组有序的未来预测。从理论上讲，我们从代表时空记忆的神经网络方程方面操作海马体生理学的关键神经生物学发现。结合基于物理原则的约束，要求尺度不变性和跨记忆节点翻译的一致性，该命题导致过去（记忆）和未来（预测）时间线的Weber-Fechner间隔表示。我们发现海马和腹侧纹状体神经元的相位进动现象与未来预测的认知行为相对应。
Predicting the timing and order of future events is an essential feature of cognition in higher life forms. We propose a neural mechanism to nondestructively translate the current state of spatiotemporal memory into the future, so as to construct an ordered set of future predictions almost instantaneously. We hypothesize that within each cycle of hippocampal theta oscillations, the memory state is swept through a range of translations to yield an ordered set of future predictions through modulations in synaptic connections. Theoretically, we operationalize critical neurobiological findings from hippocampal physiology in terms of neural network equations representing spatiotemporal memory. Combined with constraints based on physical principles requiring scale invariance and coherence in translation across memory nodes, the proposition results in Weber-Fechner spacing for the representation of both past (memory) and future (prediction) timelines. We show that the phenomenon of phase precession of neurons in the hippocampus and ventral striatum correspond to the cognitive act of future prediction.
人类的学习和记忆。
影响因子：
24.8
作者：
Johnson,MK;Hasher,L
通讯作者：
Hasher,L
大鼠内嗅皮层中的网格细胞在单次试验水平上编码具有独立发射场和相位进动的物理空间
DOI：
10.1073/pnas.1109599109
发表时间：
2012
期刊：
Proceedings of the National Academy of Sciences
影响因子：
--
作者：
Reifenstein ET;Kempter R;Schreiber S;Stemmler MB;Herz AV
通讯作者：
Herz AV
影响因子：
2
作者：
Jensen, O;Lisman, JE
通讯作者：
Lisman, JE