Sadique Sheik

PhD Student -- ended Aug 2013
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acoustic SCene ANalysis for Detecting Living Entities

In this project we propose to develop a cognitive acoustic scene analysis system that is able to synthesize composite representations of animate entities and their behavior by integrating information from active and passive sound signatures. The system is an acoustic analogy to a camera-based visual scene analysis system, particularly suited to detecting the presence and characterising the behaviour of living entities in the environment. The biologically inspired architecture and processing mechanisms of the proposed system support autonomous real-time context-dependent operation, allowing it to parse complex mixtures of sounds into meaningful units and categorize them.



  • Coath, M. and Sheik, S. and Chicca, E. and Indiveri, G. and Denham, S.L. and Wennekers, T. A robust sound perception model suitable for neuromorphic implementation., Frontiers in Neuroscience, 7:(278), 2014
  • Stefanini, Fabio and Neftci, Emre O. and Sheik, Sadique and Indiveri, Giacomo PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems, Frontiers in Neuroinformatics, 8:(73), 2014


  • Sheik, S and Pfeiffer, M and Stefanini, F and Indiveri, G Spatio-temporal Spike Pattern Classification in Neuromorphic Systems, Biomimetic and Biohybrid Systems 262-273, 2013



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