Federico Corradi

Position:
Visiting Scientist -- ended Feb 2018
Email:
Work phone:
+41766309228
Location:

My research focuses at the interface between neuroscience and neuromorphic engineering. I am interested in answering basic research questions that are related to the way biological neural circuits carry out computation. At the same time, I am working towards a new generation of computing technologies based on hybrid analog/digital neuromorphic circuits on CMOS VLSI technology.


Publications

2018

  • Diederik Paul Moeys, Daniel Neil, Federico Corradi, Emmett Kerr, Philip Vance, Gautham Das, Sonya A. Coleman, Thomas M. McGinnity, Dermot Kerr, Tobi Delbruck PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing, IEEE Fourth International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP), 2018 pdf

2017

2016

2015

2014

  • Corradi, F. and Bontrager, D. and Indiveri, G. Toward neuromorphic intelligent brain-machine interfaces: An event-based neural recording and processing system, Biomedical Circuits and Systems Conference (BioCAS) 584-587, 2014
  • Corradi, F. and Eliasmith, C. and Indiveri, G. Mapping Arbitrary Mathematical Functions and Dynamical Systems to Neuromorphic VLSI Circuits for Spike-Based Neural Computation , IEEE International Symposium on Circuits and Systems (ISCAS), 2014 269-272, 2014
  • Corradi, F. and Zambrano, D. and Raglianti, M. and Passetti, G. and Laschi, C. and Indiveri, G. Towards a Neuromorphic Vestibular System , Biomedical Circuits and Systems, IEEE Transactions on, 8:(5) 669-680, 2014
  • Donati, E. and Corradi, F. and Stefanini, C. and Indiveri, G. A spiking implementation of the lamprey's Central Pattern Generator in neuromorphic VLSI , Biomedical Circuits and Systems Conference (BioCAS) 512 - 515 , 2014
  • Mostafa, Hesham and Corradi, Federico and Stefanini, Fabio and Indiveri, Giacomo A Hybrid Analog/Digital Spike-Timing Dependent Plasticity Learning Circuit for Neuromorphic VLSI Multi-Neuron Architectures, ISCAS 854 - 857, 2014

2013

2012

© 2018 Institut für Neuroinformatik