Convolutional Neural Networks (ConvNets) are a particular type of neural network often used for many applications like image recognition, video analysis or natural language processing. They are inspired by the human brain, following a specific organization of the connectivity pattern between layers of neurons known as receptive field. These...
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April 11, 2018 (v1)PublicationUploaded on: December 4, 2022
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December 19, 2019 (v1)Publication
Address-Event-Representation (AER) is a communications protocol for transferring images between chips, originally developed for bio-inspired image processing systems. Such systems may consist of a complicated hierarchical structure with many chips that transmit images among them in real time, while performing some processing (for example,...
Uploaded on: December 5, 2022 -
June 12, 2018 (v1)Publication
This paper addresses the problem of converting a conventional video stream based on sequences of frames into the spike event-based representation known as the address-event-representation (AER). In this paper we concentrate on rate-coded AER. The problem is addressed as an algorithmic problem, in which different methods are proposed,...
Uploaded on: December 4, 2022 -
March 7, 2023 (v1)Publication
In this paper several software methods for generating synthetic AER streams from images stored in a computer's memory are proposed and evaluated. Evaluation criteria cover execution time, distribution error and how they perform with two receiver cell models. A hardware PCI to AER interface is presented
Uploaded on: March 25, 2023 -
March 23, 2023 (v1)Publication
Address Event Representation (AER) is an emergent neuromorphic interchip communication protocol that allows for real-time virtual massive connectivity between huge number neurons located on different chips. By exploiting high speed digital communication circuits (with nano-seconds timings), synaptic neural connections can be time multiplexed,...
Uploaded on: March 25, 2023 -
November 27, 2014 (v1)Publication
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Uploaded on: December 4, 2022 -
May 21, 2018 (v1)Publication
This paper presents a modular, scalable approach to assembling hierarchically structured neuromorphic Address Event Representation (AER) systems. The method consists of arranging modules in a 2D mesh, each communicating bidirectionally with all four neighbors. Address events include a module label. Each module includes an AER router which...
Uploaded on: March 27, 2023 -
February 13, 2020 (v1)Publication
Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional video and computer vision systems. In Event-Driven sensors each pixel autonomously and asynchronously decides when to send its address out. This way, the...
Uploaded on: March 27, 2023 -
May 11, 2018 (v1)Publication
Address–Event–Representation (AER) is a communication protocol for transferring images between chips, originally developed for bio-inspired image-processing systems. Such systems may consist of a complicated hierarchical structure with many chips that transmit images among them in real time, while performing some processing (for example,...
Uploaded on: December 4, 2022 -
May 14, 2018 (v1)Publication
Address-event-representation (AER) is a communication protocol for transferring asynchronous events between VLSI chips, originally developed for bio-inspired processing systems (for example, image processing). Such systems may consist of a complicated hierarchical structure with many chips that transmit data among them in real time, while...
Uploaded on: December 2, 2022