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Brain Enabled by Next-Generation Neurotechnology: Using Multiscale and Multimodal Models

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2 Author(s)
Shenoy, K.V. ; Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA ; Nurmikko, A.V.

The ultimate goal is to understand how the information in the distributed neural circuits of the brain reorganizes and plastically adapts to laboratory disruptions designed to reversibly mimic brain injury. Our approach involves a new generation of data- driven mathematical models of brain circuits and their connection with complex behavioral tasks in primates that are enabled with a suite of novel experimental tools .In the following article, we illustrate a few of these methods, which include projecting input directly onto specifically targeted brain microcircuits and thus writing in neuromodulatory signals. These methods also enable the simultaneous read out and write in of real-time neural responses across multiple spatial and temporal scales of network activity.

Published in:

Pulse, IEEE  (Volume:3 ,  Issue: 2 )