Abstract
Brain-machine interfacesBrain-machine interface (BMIs) of the future will be used to treat diverse neurological disorders and augment human capabilities. However, to realize this futuristic promise will require a major leap forward in how electronic devices interact with the nervous system. Current BMIs provide coarse communicationCommunication with the target neural circuitry, because they fail to respect its cellular and cell-type specificity. Instead, they indiscriminately activate or record many cells at the same time and provide only partial restoration of lost abilities. A future BMI that may pave the path forward is an artificialRetina retinaArtificial retina---a device that can restore vision to people blinded by retinal degeneration. Because the retina is relatively well understood and easily accessible, it is an ideal neural circuit in which to develop a BMI that can approach or exceed the performance of the biological circuitry. This chapter summarizes the basic neuroscienceNeuroscience of vision, identifies the requirements for an effective retinal interface, and describes some of the necessary circuits and systems. Based on these ideas and the lessons from first-generation retinal prosthesesBionic, a novel neuroengineering approach is proposed: the first BMI that will interact with neural circuitry at cellular and cell-type resolution.
| Original language | English |
|---|---|
| Title of host publication | NANO-CHIPS 2030: On-Chip AI for an Efficient Data-Driven World |
| Editors | Boris Murmann, Bernd Hoefflinger |
| Publisher | Springer |
| Pages | 443-465 |
| Number of pages | 23 |
| Publication status | Published - 2020 |
| Externally published | Yes |