Embodied neuromorphic intelligence
The design of robots that interact autonomously with the environment and exhibit complex
behaviours is an open challenge that can benefit from understanding what makes living …
behaviours is an open challenge that can benefit from understanding what makes living …
Towards spike-based machine intelligence with neuromorphic computing
Guided by brain-like 'spiking'computational frameworks, neuromorphic computing—brain-
inspired computing for machine intelligence—promises to realize artificial intelligence while …
inspired computing for machine intelligence—promises to realize artificial intelligence while …
A 128128 120 dB 15 s Latency Asynchronous Temporal Contrast Vision Sensor
P Lichtsteiner, C Posch… - IEEE journal of solid-state …, 2008 - ieeexplore.ieee.org
This paper describes a 128 times 128 pixel CMOS vision sensor. Each pixel independently
and in continuous time quantizes local relative intensity changes to generate spike events …
and in continuous time quantizes local relative intensity changes to generate spike events …
Artificial neural networks in hardware: A survey of two decades of progress
This article presents a comprehensive overview of the hardware realizations of artificial
neural network (ANN) models, known as hardware neural networks (HNN), appearing in …
neural network (ANN) models, known as hardware neural networks (HNN), appearing in …
[PDF][PDF] Frame-free dynamic digital vision
T Delbruck - Proceedings of Intl. Symp. on Secure-Life Electronics …, 2008 - Citeseer
Conventional image sensors produce massive amounts of redundant data and are limited in
temporal resolution by the frame rate. This paper reviews our recent breakthrough in the …
temporal resolution by the frame rate. This paper reviews our recent breakthrough in the …
Six networks on a universal neuromorphic computing substrate
In this study, we present a highly configurable neuromorphic computing substrate and use it
for emulating several types of neural networks. At the heart of this system lies a mixed-signal …
for emulating several types of neural networks. At the heart of this system lies a mixed-signal …
Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking
The field of neuromorphic computing holds great promise in terms of advancing computing
efficiency and capabilities by following brain-inspired principles. However, the rich diversity …
efficiency and capabilities by following brain-inspired principles. However, the rich diversity …
Neuromorphic accelerators: A comparison between neuroscience and machine-learning approaches
A vast array of devices, ranging from industrial robots to self-driven cars or smartphones,
require increasingly sophisticated processing of real-world input data (image, voice …
require increasingly sophisticated processing of real-world input data (image, voice …
Computation with spikes in a winner-take-all network
The winner-take-all (WTA) computation in networks of recurrently connected neurons is an
important decision element of many models of cortical processing. However, analytical …
important decision element of many models of cortical processing. However, analytical …