The Neurally Controlled Animat: Biological brains acting with simulated bodies

The Neurally Controlled Animat: Biological brains acting with simulated bodies
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DOI:
10.1023/a:1012407611130
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发表时间:
2001-11-01
期刊:
影响因子:
3.5
通讯作者:
Potter, SM
Potter, SM
中科院分区:
计算机科学3区
文献类型:
--
作者:
DeMarse, TB;Wagenaar, DA;Potter, SM

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大脑可能是已知的最先进和最强大的计算系统。我们正在创造一种方法来研究信息是如何在活的培养神经网络中处理和编码的,方法是将它们与虚拟世界中的计算机生成的动物神经控制动物(Neurally-Controlled Animat)连接。将来自大鼠的皮层神经元解离并在含有能够记录和刺激神经活动的电极网格(多电极阵列,或MEA)的表面上培养。神经活动的分布式模式用于控制Animat在模拟环境中的行为。计算机充当其感觉系统,向网络提供关于Animat在其环境中的运动的电反馈。由于与周围环境的相互作用,动物行为的变化与生物过程(例如,神经可塑性),以了解信息是如何在活的神经网络中处理和编码的。因此,我们已经创建了一个混合实时处理引擎和控制系统,包括生活,电子和模拟组件。最终,这种方法可以应用于控制机器人设备,或者导致更好的实时硅基信息处理和控制算法,这些算法具有容错性,并且可以自我修复。
The brain is perhaps the most advanced and robust computation system known. We are creating a method to study how information is processed and encoded in living cultured neuronal networks by interfacing them to a computer-generated animal, the Neurally-Controlled Animat, within a virtual world. Cortical neurons from rats are dissociated and cultured on a surface containing a grid of electrodes (multi-electrode arrays, or MEAs) capable of both recording and stimulating neural activity. Distributed patterns of neural activity are used to control the behavior of the Animat in a simulated environment. The computer acts as its sensory system providing electrical feedback to the network about the Animat's movement within its environment. Changes in the Animat's behavior due to interaction with its surroundings are studied in concert with the biological processes (e.g., neural plasticity) that produced those changes, to understand how information is processed and encoded within a living neural network. Thus, we have created a hybrid real-time processing engine and control system that consists of living, electronic, and simulated components. Eventually this approach may be applied to controlling robotic devices, or lead to better real-time silicon-based information processing and control algorithms that are fault tolerant and can repair themselves.