Methods for operating a biological neural network computing system with adaptive computational interfaces and automated control

Abstract

A method for performing a task using a biological computing system is disclosed. The system comprises a biological neural network (BNN) including an in vitro neural cell culture, a stimulation unit configured to apply stimulation signals to the neural cell culture, a readout unit configured to measure readout signals from the neural cell culture, an automation controller, and pre-processing and post-processing units configured to respectively encode input signals into stimulation signals and decode output signals from measured readout signals. The system may further include a health control unit configured to regulate environmental conditions of the neural cell culture, including chemical, nutritional, and physical parameters. The automation controller may be configured to monitor and control system components and parameters through one or more communication interfaces, and to support user-provided instructions and/or automated control by computational agents, including natural language-based interfaces and machine communication protocols enabling bidirectional data exchange. In some embodiments, control instructions are generated and adapted dynamically based on system feedback, and automated control agents adjust encoding operations, decoding operations, and environmental and operational parameters of the biological computing system in response to monitored data.

Dependencies are inferred from the claim text.