# Neural Engineering

> Neural engineering develops devices and computational systems that record from, stimulate, or replace the function of neural tissue, with clinical applications in restoring motor function, sensory perception, and treatment-resistant psychiatric disorders. Intracortical brain-computer interfaces have enabled paralyzed individuals to control robotic arms, type text, and communicate through direct neural decoding of intended movements. Closed-loop deep brain stimulation systems sense pathological neural signatures in real time and adjust stimulation parameters accordingly, improving outcomes in Parkinson's disease and depression. High-density Neuropixels probes record from hundreds of neurons simultaneously in awake behaving animals. The FDA approval of neural interfaces for speech decoding marks a clinical milestone for the field.

*Source: [https://selltoscientists.com/fields/neural-engineering/](https://selltoscientists.com/fields/neural-engineering/)*

**Researcher count:** 12,000
**Average funding:** $780K

## Subfields

- Brain-Computer Interfaces
- Deep Brain Stimulation
- Neural Decoding
- Retinal Prosthetics
- Closed-Loop Neurostimulation

## Key technologies

- Utah Array
- Neuropixels Probes
- Electrocorticography
- Transcranial Magnetic Stimulation
- Optogenetic Actuation

## Top institutions

- University of Pittsburgh CNBC
- BrainGate Consortium
- Johns Hopkins University APL
- Neuralink
- EPFL Center for Neuroprosthetics

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