Brain Co-Processors: Using AI to Restore and Augment Brain Function

TL;DR

This paper introduces brain co-processors that integrate AI-based decoding and encoding to restore and augment brain functions, enabling applications like rehabilitation, limb reanimation, and memory enhancement.

Contribution

It presents a novel AI framework combining neural decoding and encoding in a unified system for brain augmentation and restoration.

Findings

Proposes a new AI-based framework for brain co-processors

Demonstrates joint optimization of neural signals for desired behaviors

Highlights potential applications and ethical considerations

Abstract

Brain-computer interfaces (BCIs) use decoding algorithms to control prosthetic devices based on brain signals for restoration of lost function. Computer-brain interfaces (CBIs), on the other hand, use encoding algorithms to transform external sensory signals into neural stimulation patterns for restoring sensation or providing sensory feedback for closed-loop prosthetic control. In this article, we introduce brain co-processors, devices that combine decoding and encoding in a unified framework using artificial intelligence (AI) to supplement or augment brain function. Brain co-processors can be used for a range of applications, from inducing Hebbian plasticity for rehabilitation after brain injury to reanimating paralyzed limbs and enhancing memory. A key challenge is simultaneous multi-channel neural decoding and encoding for optimization of external behavioral or task-related goals. We describe a new framework for developing brain co-processors based on artificial neural networks, deep learning and reinforcement learning. These "neural co-processors" allow joint optimization of cost functions with the nervous system to achieve desired behaviors. By coupling artificial neural networks with their biological counterparts, neural co-processors offer a new way of restoring and augmenting the brain, as well as a new scientific tool for brain research. We conclude by discussing the potential applications and ethical implications of brain co-processors.