Biological computing platform

A method comprising:

• receiving, by a computing device, a digital input signal from a virtual environment configured to provide reinforcement learning to a plurality of biological neurons based on one or more of an electrical reward stimulus, a chemical reward stimulus, or a tetanic reward stimulus;
• converting the digital input signal into instructions for a plurality of electrical or optical impulses, where each electrical or optical impulse of the plurality of electrical or optical impulses is associated with a two-dimensional (2D) coordinate;
• applying the plurality of electrical or optical impulses at specified coordinates of a 2D grid in a multielectrode array (MEA) in accordance with the instructions, wherein the plurality of biological neurons are disposed on the MEA;
• measuring outputted electrical signals from one or more of the plurality of biological neurons at one or more additional coordinates of the 2D grid;
• generating a representation of the outputted electrical signals;
• and
• sending a response message to the virtual environment based on the representation of the outputted electrical signals.

A non-transitory computer-readable storage medium having instructions encoded thereon that, when executed by a processing device operatively coupled to a multielectrode array (MEA), cause the processing device to:

• receive a digital input signal from a virtual environment configured to provide reinforcement learning to plurality of biological neurons based on one or more of an electrical reward stimulus, a chemical reward stimulus, or a tetanic reward stimulus;
• convert the digital input signal into instructions for a plurality of electrical or optical impulses, where each electrical or optical impulse of the plurality of electrical or optical impulses is associated with a two-dimensional (2D) coordinate;
• apply the plurality of electrical or optical impulses at specified coordinates of a 2D grid in accordance with the instructions;
• measure outputted electrical signals from one or more of the plurality of biological neurons at one or more additional coordinates of the 2D grid;
• generate a representation of the outputted electrical signals;
• and
• send a response message to the virtual environment based on the representation of the outputted electrical signals.