# Neuromorphic Computing

> Neuromorphic computing designs hardware and algorithms that mimic the structure and dynamics of biological neural systems. By co-locating memory and computation and using spike-based signaling, it promises orders-of-magnitude gains in energy-efficient AI.

*Source: [https://selltoscientists.com/fields/neuromorphic-computing/](https://selltoscientists.com/fields/neuromorphic-computing/)*

**Researcher count:** 8,500
**Average funding:** $560K

## Subfields

- Spiking Neural Networks
- Memristive Devices
- Event-Based Sensing
- In-Memory Computing
- Bio-Inspired Architectures

## Key technologies

- Memristor Crossbars
- Neuromorphic Chips
- Phase-Change Memory
- Event Cameras
- Analog VLSI

## Top institutions

- Stanford
- ETH Zurich
- IBM Research
- University of Manchester
- Heidelberg University

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