The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep
The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep
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DOI：
10.1038/s41593-019-0460-x
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发表时间：
2019-09-01
影响因子：
25
通讯作者：
Fiete, Ila
中科院分区：
文献类型：
--
作者：
Chaudhuri, Rishidev;Gercek, Berk;Fiete, Ila
神经回路构建关键变量的分布式表示外部刺激或与生存相关的内部数量结构，例如对一个人在世界上的位置的估计作为人口活动的向量。虽然人口活动向量可能有成千上万的条目（维度），我们认为，他们描绘出一个低维流形的维度和拓扑结构相匹配的表示变量。这种多方面的视角使得能够仅使用神经群体活动（不知道输入、输出、行为或拓扑）来盲发现和解码所表示的变量。我们的特点和直接可视化的哺乳动物头部方向电路的流形结构，揭示了国家形成一个拓扑非平凡的一维环。该环具有等距性，并且在清醒和快速眼动睡眠中是不变的。这一结果直接证明了系统存在连续吸引子动力学，并使对机理的推断成为可能。最后，外部而不是内部噪声限制了记忆保真度，流形方法揭示了睡眠期间新的动态轨迹。
Neural circuits construct distributed representations of key variables-external stimuli or internal constructs of quantities relevant for survival, such as an estimate of one's location in the world-as vectors of population activity. Although population activity vectors may have thousands of entries (dimensions), we consider that they trace out a low-dimensional manifold whose dimension and topology match the represented variable. This manifold perspective enables blind discovery and decoding of the represented variable using only neural population activity (without knowledge of the input, output, behavior or topography). We characterize and directly visualize manifold structure in the mammalian head direction circuit, revealing that the states form a topologically nontrivial one-dimensional ring. The ring exhibits isometry and is invariant across waking and rapid eye movement sleep. This result directly demonstrates that there are continuous attractor dynamics and enables powerful inference about mechanism. Finally, external rather than internal noise limits memory fidelity, and the manifold approach reveals new dynamical trajectories during sleep.