Software and Methods for Controlling Neural Responses in Deep Brain Regions

Techniques for non-invasively controlling targeted neural activity of a subject are provided herein. The techniques include applying a stimulus input to the subject, the stimulus input being formed by a deep artificial neural network (ANN) model and being configured to elicit targeted neural activity within a brain of the subject. The stimulus input may be a pattern of luminous power generated by the deep ANN model and applied to retinae of the subject. The stimulus input may be generated by the deep ANN model based on a mapping of the subject's neural responses to neurons of the deep ANN model.

Researchers

James DiCarlo / Pouya Bashivan / Kohitij Kar

Departments: Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Biotechnology: Sensors & Monitoring / Computer Science: Bioinformatics

  • software and methods for controlling neural responses in deep brain regions
    United States of America | Granted | 11,813,406
  • software and methods for controlling neural responses in deep brain regions
    United States of America | Published application

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