Welcome to The Neuromorphic Engineer
You are in: Technologies »
 
:Analog
 
Welcome to the Analog section. The latest articles for this section are displayed below:
RSS feed for Technologies:Analog



Neuromorphic silicon neurons and large-scale neural networks: challenges and opportunities »

Chi-Sang Poon and Kuan Zhou

Complementary metal-oxide-semiconductor (CMOS) transistors are commonly used in very-large-scale-integration (VLSI) digital circuits as a basic binary switch that turns on or off as the transistor gate voltage crosses some threshold. Carver Mead first noted that CMOS transistor circuits operating below this threshold in current mode have strikingly similar sigmoidal current–voltage relationships as do neuronal ion channels and consume little power; hence they are ideal analogs of...

 
Neuromorphic silicon neuron circuits »

Giacomo Indiveri, Bernabé Linares-Barranco, Tara Julia Hamilton, André van Schaik, Ralph Etienne-Cummings, Tobi Delbruck, Shih-Chii Liu, Piotr Dudek, Philipp Häfliger, Sylvie Renaud, Johannes Schemmel, Gert Cauwenberghs, John Arthur, Kai Hynna, Fopefolu Folowosele, Sylvain Saighi, Teresa Serrano-Gotarredona, Jayawan Wijekoon, Yingxue Wang, and Kwabena Boahen

In this paper we describe the most common building blocks and techniques used to implement spiking neuron circuits, and present an overview of a wide range of neuromorphic silicon neurons, which implement different computational models. We compare the different design methodologies used for each silicon neuron design described, and demonstrate their features with experimental results.

 
Adaptive sound localization with a silicon cochlea pair »

Vincent Yue-Sek Chan, Craig T. Jin, and André van Schaik

A neuromorphic sound localization system is presented, based on the extraction of interaural time difference from a far-field source and employing two microphones and a pair of silicon cochleae with address event interface for front-end processing.

 
BRAINS AND MACHINES
A silicon vocal tract »

and Sunny Bains

Researchers at MIT have developed the first integrated-circuit vocal tract, which could eventually make it's way into high-end PDAs. It's biologically inspired and combined with a bionic-ear processor in a feedback loop. This means it can not only be used...
 
 
Audio-visual sensor fusion for object localization »

Vincent Chan

Using the onset time of stimuli, a biologically-inspired system learns to identify the sources of sounds.
 
 

@NeuroEng



Tell us what to cover!

If you'd like to write an article or know of someone else who is doing relevant and interesting stuff, let us know. E-mail the editor and suggest the subject for the article and, if you're suggesting someone else's work, tell us their name, affiliation, and e-mail.