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This paper discusses the application of 'ts-WTA' cell as a core learning circuit in designing adaptive neuromorphic feature selective cells for a variety of ...
This study aims at online Machine Vision Inspection, focusing on the method of online semantic segmentation under complex backgrounds. First, the fewer- ...
Apr 2, 2014 · Developing neuromorphic feature maps can help design generic machines that can emulate this adaptive behavior. Most neuromorphic models that ...
Abstract—The grand challenge of neuromorphic computation is to develop a flexible brain-like architecture capable of a wide array of real-time applications, ...
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Jan 16, 2024 · Neuromorphic technology, which mimics the natural behavior of neurons and synapses, holds promise for replicating the encoding of natural touch.
This work investigates self-organising cortical feature maps (SOFMs) based upon the Kohonen Self-Organising Map (SOM) but implemented with spiking neural ...
In this paper we study the applicability of this cell to form feature specific clusters and show how an array of these cells when connected through an RC- ...
This paper presents a massively parallel and scalable neuromorphic cortex simulator designed for simulating large and structurally connected spiking neural ...
In this chapter, we focus on spike-based neuromorphic computing, which is a bio-inpsired approach that tries to emulate excellent energy efficiency and ...
May 30, 2022 · Neuromorphic chips, as the name suggests—“like the brain”—can mimic the brain's function in a truer sense as their design is analogous to the ...