Eugenio Culurciello


Eugenio Culurciello

Eugenio Culurciello’s research interests are in analog and mixed-mode integrated circuits for biomedical instrumentation, synthetic vision, bio-inspired sensory systems and networks, biological sensors, and silicon-on-insulator design. Dr. Culurciello is the recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and Young Investigator Program from ONR, the Distinguished Lecturer of the IEEE (CASS), and is the author of the book "Silicon-on-Sapphire Circuits and Systems, Sensor and Biosensor Interfaces."


  1. A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks, Vinayak Gokhale, Jonghoon Jin, Aysegul Dundar, Berin Martini and Eugenio Culurciello, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2014, Columbus, OH
  2. Clustering Learning for Robotic Vision, Eugenio Culurciello, Jordan Bates, Aysegul Dundar, Jose Carrasco, Clement Farabet, ArXiv, http://arxiv.org/abs/1301.2820, January 15th 2013, Code here. ICLR 2013 workshop, https://sites.google.com/site/representationlearning2013/
  3. NeuFlow: Dataflow Vision Processing System-on-a-Chip, Phi-Hung Pham, Darko Jelaca, Clement Farabet, Berin Martini, Yann LeCun and Eugenio Culurciello, IEEE International Midwest Symposium on Circuits and systems, IEEE MWSCAS 2012, Boise, Idaho, USA, pp – .
  4. Hardware Accelerated Convolutional Neural Networks for Synthetic Vision Systems, C. Farabet, B. Martini, P. Akselrod, S. Talay, Y. LeCun and E. Culurciello, IEEE International Symposium on Circuits and Systems, 2010. ISCAS 2010, Paris, France, pp. 257 - 260.
  5. Bio-Inspired Vision Processor for Ultra-Fast Object Categorization, Clement Farabet, Berin Martini, Polina Akselrod, Benoit Corda, Selcuk Talay, Yann LeCun and Eugenio Culurciello, High Performance Embedded Computing Workshop, HPEC 2010, MIT Lincoln Laboratories, 15-16 September 2010.
  6. NeuFlow: a neural vision processor for real-time object categorization in megapixel videos, Clement Farabet, Berin Martini, Polina Akselrod, Benoit Corda, Selcuk Talay, Yann LeCun and Eugenio Culurciello, Applied Imagery Pattern Recognition AIPR 2010, Washington, DC, October 13-15, 2010.
  7. A Multi-Chip Neuromorphic System for Spike-Based Visual Information Processing, R. Jacob Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwengberghs, Ralph Etienne-Cummings, Neural Computation, Vol. 19, Number 9, September 1 2007
  8. A Biomorphic Digital Image Sensor, Culurciello E., Etienne-Cummings R., Boahen K. A., IEEE Journal of Solid-State Circuits, Vol. 38, No. 2, Page(s): 281 -294, February 2003.
  9. A Compact-pixel Tri-mode Vision Sensor, Dongsoo Kim, Eugenio Culurciello, IEEE International Symposium on Circuits and Systems, 2010. ISCAS 2010, Paris, France, pp. 2434 - 2437.
  10. A 64x64 Pixels UWB Wireless Temporal-Difference Digital Image Sensor, Shoushun Chen, Wei Tang, Eugenio Culurciello, IEEE International Symposium on Circuits and Systems, 2010. ISCAS 2010, Paris, France, pp. 1404 - 1407.

Eugenio Culurciello


Eugenio Culurciello

Eugenio Culurciello’s research interests are in analog and mixed-mode integrated circuits for biomedical instrumentation, synthetic vision, bio-inspired sensory systems and networks, biological sensors, and silicon-on-insulator design. Dr. Culurciello is the recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and Young Investigator Program from ONR, the Distinguished Lecturer of the IEEE (CASS), and is the author of the book "Silicon-on-Sapphire Circuits and Systems, Sensor and Biosensor Interfaces."


  1. A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks, Vinayak Gokhale, Jonghoon Jin, Aysegul Dundar, Berin Martini and Eugenio Culurciello, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2014, Columbus, OH
  2. Clustering Learning for Robotic Vision, Eugenio Culurciello, Jordan Bates, Aysegul Dundar, Jose Carrasco, Clement Farabet, ArXiv, http://arxiv.org/abs/1301.2820, January 15th 2013, Code here. ICLR 2013 workshop, https://sites.google.com/site/representationlearning2013/
  3. NeuFlow: Dataflow Vision Processing System-on-a-Chip, Phi-Hung Pham, Darko Jelaca, Clement Farabet, Berin Martini, Yann LeCun and Eugenio Culurciello, IEEE International Midwest Symposium on Circuits and systems, IEEE MWSCAS 2012, Boise, Idaho, USA, pp – .
  4. Hardware Accelerated Convolutional Neural Networks for Synthetic Vision Systems, C. Farabet, B. Martini, P. Akselrod, S. Talay, Y. LeCun and E. Culurciello, IEEE International Symposium on Circuits and Systems, 2010. ISCAS 2010, Paris, France, pp. 257 - 260.
  5. Bio-Inspired Vision Processor for Ultra-Fast Object Categorization, Clement Farabet, Berin Martini, Polina Akselrod, Benoit Corda, Selcuk Talay, Yann LeCun and Eugenio Culurciello, High Performance Embedded Computing Workshop, HPEC 2010, MIT Lincoln Laboratories, 15-16 September 2010.
  6. NeuFlow: a neural vision processor for real-time object categorization in megapixel videos, Clement Farabet, Berin Martini, Polina Akselrod, Benoit Corda, Selcuk Talay, Yann LeCun and Eugenio Culurciello, Applied Imagery Pattern Recognition AIPR 2010, Washington, DC, October 13-15, 2010.
  7. A Multi-Chip Neuromorphic System for Spike-Based Visual Information Processing, R. Jacob Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwengberghs, Ralph Etienne-Cummings, Neural Computation, Vol. 19, Number 9, September 1 2007
  8. A Biomorphic Digital Image Sensor, Culurciello E., Etienne-Cummings R., Boahen K. A., IEEE Journal of Solid-State Circuits, Vol. 38, No. 2, Page(s): 281 -294, February 2003.
  9. A Compact-pixel Tri-mode Vision Sensor, Dongsoo Kim, Eugenio Culurciello, IEEE International Symposium on Circuits and Systems, 2010. ISCAS 2010, Paris, France, pp. 2434 - 2437.
  10. A 64x64 Pixels UWB Wireless Temporal-Difference Digital Image Sensor, Shoushun Chen, Wei Tang, Eugenio Culurciello, IEEE International Symposium on Circuits and Systems, 2010. ISCAS 2010, Paris, France, pp. 1404 - 1407.