To address these issues, we propose a fully asynchronous neuromorphic paradigm that integrates event cameras, spiking networks, and neuromorphic processors (Intel Loihi). This paradigm can faithfully ...

Combining theory fundamentals, spiking neuron models, advanced SNN models and residual architectures, software frameworks and neuromorphic hardware, applications ... In comparison to general-purpose ...

Akida first neuromorphic IP available on the market. Inspired by the biological function of neurons and engineered on a digital logic process, the Akida’s event-based spiking neural network ... by ...

New brain-inspired hardware, architectures and algorithms could lead to more efficient, more capable forms of AI.

Home > Press release: Neurons cast in silicon: AI chip SENNA ...

Quantum dots (QDs) enable advancements in neuromorphic computing, offering unique properties for efficient data storage and ...

Impact Statement: This work presents a novel approach to address Constraint Satisfaction Problems through Spiking Neural Networks (SNNs) utilising neuromorphic tools like the GeNN framework and the ...

The Hodgkin-Huxley (HH) spiking neuron model reproduces the dynamic characteristics of the neuron by mimicking the action potential, ionic channels, and spiking behaviors. The memristor is a nonlinear ...