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Cortical Microcircuit Models of Predictive Processing for Neuromorphic Processors

Research Student

Pablo Alejandro de Abreu Urbizagastegui

Research Project Details

My goals in this research are to build a cortical model that performs predictive processing on event-based data while exhibiting Spatio-temporal unsupervised learning. I will also study its implementation on hardware to demonstrate its applicability and scalability in such a platform.

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  • Automatic Real-Time Recognition of Objects in Photos and Videos on Edge Devices
  • Cortical Microcircuit Models of Predictive Processing for Neuromorphic Processors
  • Neuromorphic Perception for Greenhouse Technology
  • Hardware Implementation of Unsupervised Feature Extraction Algorithms
  • Brain-Inspired Neuromorphic Compute Architectures for Edge Computing
  • Odor Identification and Odor Source Localization using Event Based Gas Sensing

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