CPC G16H 50/50 (2018.01) [G16C 20/50 (2019.02)] | 16 Claims |
1. A simulation method implemented by a data processing apparatus, the method comprising:
providing a virtual volume of neural tissue as a reconstruction of neocortical microcircuitry, comprising providing a computer-implemented model of the neural tissue, the model including different types of neural cells and dynamic synaptic interconnections between the neural cells;
performing in silico knockout experiments on the virtual volume of neural tissue to simulate functioning of the neocortical microcircuitry, comprising:
receiving multiple user inputs, wherein each user input changes a respective morphological characteristic of at least one type of neural cell in the computer-implemented model, wherein the change in the respective morphological characteristic
i) blocks activity in a respective layer of the neural tissue to changes a behavior of neural cells in the neural tissue, or
ii) blocks respective types of connections in the neural tissue to changes the interconnectivity between neural cells in the neural tissue; and
identifying changes in a synchronicity of neuronal activity in the computer-implemented model of the neural tissue responsive to the changes in the morphological characteristics, comprising identifying shifts of the neural tissue towards a synchronous state or an asynchronous state in response to the changes in the morphological characteristics; and
determining a mechanism of a disease state or an impact of a drug based on the changes in the synchronicity of the neuronal activity.
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