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Whole Cell Patch Clamp for Investigating the Mechanisms of Infrared Neural Stimulation
Published on: July 31, 2013
Protocol for artificial intelligence-guided neural control using deep reinforcement learning and infrared neural
Brandon S Coventry1, Edward L Bartlett2
1Weldon School of Biomedical Engineering, the Center for Implantable Devices, and the Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN 47907, USA.
Abstract:
Closed-loop neural control is a powerful tool for both the scientific exploration of neural function and for mitigating deficiencies found in open-loop deep brain stimulation (DBS). Here, we present a protocol for artificial intelligence-guided neural control in rats using deep reinforcement learning (RL) and infrared neural stimulation (INS). We describe steps for integrating RL closed-loop control into neuroscience and neuromodulation studies. We then detail procedures for using and deploying infrared INS in chronic DBS applications. For complete details on the use and execution of this protocol, please refer to Coventry et al.1 and Coventry and Bartlett.2.
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