Paper published in IEEE Transactions on Neural Networks and Learning Systems

The Bio-inspired Circuits & Systems group is proud to announce that the article "An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems" was accepted for the journal IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

In the paper Thorben Schoepe and Elisabetta Chicca alongside colleagues from the University of Seville, Spain, present a novel FPGA implementation of the time difference encoder, a model for temporal coding of event-based signals. The proposed model has been implemented as a digital circuit on a FPGA. It allows a configurable time constant, enabling it to be used in a wide range of sensing tasks that require the encoding of the time difference between events, such as optical flow-based obstacle avoidance, sound source localization, and gas source localization.The authors validate the functionality of the implementation in a first usecase of sound source localization.