1 INTRODUCTION

It is inescapable that we exist in a world that changes; so too must the brain perform its computational feats of perception, motor control, learning, memory, and speech online as the world and the brain's own state dynamically evolve. Recent theories have emphasized that neural computation might directly exploit dynamic principles as a powerful means of processing inputs, exerting control over action, and regulating and updating internal state, rather than by the maintenance of static regimes of activity that attempt to counteract the inevitable process of time. A dynamic perspective on the brain, with a focus on the computational role of transient patterns of neural activity, has been energized by recent advances in recording technologies and analysis methodologies, which have revealed a diversity of patterned neural activity across multiple brain regions and over multiple timescales. In conjunction, methodological advances in the analysis, interpretation, and perturbation of dynamic brain activity have yielded both fresh insight and novel questions regarding the computational nature of transient patterns of neural activity, and the regulation and control of the dynamic brain.

Last summer, neuroscientists from around the globe gathered in Denmark for the Brain Conference on Dynamics of the brain: temporal aspects of computation, sponsored by FENS and the Lundberg Foundation and chaired by Gilles Laurent and Ila Fiete. The goal of this meeting was to discuss recent experimental findings and novel theoretical ideas on the role of dynamic neural activity in the computational repertoire of the brain, and to identify promising directions for future research. Below, we survey the research presented at the meeting, covering the state-of-the-art in the isolation and interpretation of dynamic brain activity across a range of model systems and in the support of varied behaviors. We have arranged this report thematically, to focus on the broad concepts that emerged during the meeting relevant for understanding the dynamics of neural computation, although many, if not all, speakers touched on several of these concepts in the course of presenting their research. Along the way, we highlight questions and considerations that arose as future directions for the dynamic perspective on the brain.

中文翻译：

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关于动态大脑的不断发展的观点：来自大脑动力学会议的笔记：计算的时间方面

1 介绍

我们不可避免地生活在一个不断变化的世界中；随着世界和大脑自身状态的动态演变，大脑也必须在线执行其感知、运动控制、学习、记忆和语音等计算功能。最近的理论强调，神经计算可能直接利用动态原理作为处理输入、对动作施加控制以及调节和更新内部状态的强大手段，而不是通过维持静态活动机制来抵消不可避免的过程。时间。记录技术和分析方法的最新进展激发了对大脑的动态视角，重点是神经活动瞬态模式的计算作用，这揭示了跨多个大脑区域和多个时间尺度的模式化神经活动的多样性。结合起来，动态大脑活动的分析、解释和扰动的方法论进步产生了关于神经活动瞬态模式的计算性质以及动态大脑的调节和控制的新见解和新问题。

去年夏天，来自世界各地的神经科学家齐聚丹麦参加关于大脑动力学的大脑会议：计算的时间方面，由 FENS 和 Lundberg 基金会赞助，由 Gilles Laurent 和 Ila Fiete 担任主席。本次会议的目的是讨论关于动态神经活动在大脑计算库中的作用的最新实验结果和新理论思想，并确定未来研究的有希望的方向。下面，我们调查了会议上提出的研究，涵盖了在一系列模型系统中隔离和解释动态大脑活动以及支持各种行为的最新技术。我们按主题安排了这份报告，以关注会议期间出现的与理解神经计算动力学相关的广泛概念，尽管许多（如果不是全部）演讲者在介绍他们的研究的过程中触及了其中的几个概念。一路上，