Neuromorphic Hardware

Physical substrates designed to implement brain-inspired computation — chips and systems whose structure mirrors neural organization.

Examples include Intel’s Loihi (digital spiking neurons), IBM’s TrueNorth (neurosynaptic cores), and memristive crossbar arrays (analog synapses). These systems achieve orders-of-magnitude efficiency gains for specific tasks by abandoning the von Neumann architecture.

Systems Connection

Neuromorphic hardware embodies a key systems insight: structure enables function. By physically organizing compute elements like neurons and connections like synapses, these systems achieve capabilities (energy efficiency, temporal processing, fault tolerance) that emerge from their architecture rather than their algorithms.

See Also

• Neuromorphics — parent domain
• Memristor — key enabling component
• Spiking Neural Network — the computational model implemented