Google Scholar Citations

Journal Articles:

  1. Zhen, X.; Sheng, Y.C.; Orchard, G.; "Event-based Stereo Depth Estimation Using Belief Propagation" Frontiers in Neuroscience section on Neuromorphic Engineering (under review)
  2. Cohen, G.; Afshar, S.; Orchard, G.; Tapson, J.; Benosman, R.; and Van Schaik, A.; "Spatial and Temporal Downsampling in Event-Based Visual Classification" Neural Networks and Learning Systems, IEEE Transactions on (TNNLS) (under review)
  3. Lagorce, X.; Orchard, G.; Gallupi, F.; Shi, B.; and Benosman, R.; "HOTS: A Hierarchy Of event-based Time-Surfaces for pattern recognition" Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 39 no. 7, pp. 1346-1359 July 2017 (open access IEEE link)
  4. Cohen, G.K.; Orchard, G.; Ieng, S.H.; Tapson, J.; Benosman, R.B.; and van Schaik, A.; "Skimming Digits: Neuromorphic Classification of Spike-Encoded Images" Frontiers in Neuroscience vol. 10, no. 184, Apr. 2016 (open access Frontiers link)
  5. Valeiras, D.; Orchard, G.; Ieng, S.H.; Benosman, R.; "Neuromorphic Event-Based 3D Pose Estimation", Frontiers in Neuroscience  vol.9, no.522, Jan. 2016 (open access Frontiers link)
  6. Orchard, G.; Cohen, G.; Jayawant, A.; and Thakor, N.  “Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades"Frontiers in Neuroscience, vol.9, no.437, Oct. 2015 (open access Frontiers link)
  7. Tan, C.; Lallee, S.; and Orchard, G.  "Benchmarking Neuromorphic Vision: Lessons Learnt from Computer Vision", Frontiers in Neuroscience, vol.9, no.374, Oct. 2015 (open access Frontiers link)
  8. Orchard, G.; Meyer, C.; Etienne-Cummings, R.; Posch, C.; Thakor, N.; and Benosman, R., "HFIRST: A Temporal Approach to Object Recognition," Pattern Analysis and Machine Intelligence, IEEE Transactions on vol.37, no.10, pp.2028-2040, Oct. 2015 (open access arXiv link)
  9. Orchard, G.; and Etienne-Cummings, R. “Bioinspired Visual Motion Estimation” Proceedings of the IEEE, vol.102, no.10, pp.1520–1536, Oct. 2014. (open access arXiv link)
  10. Orchard, G.; Martin, J.G.; Vogelstein, R.J.; and Etienne-Cummings, R., "Fast Neuromimetic Object Recognition Using FPGA Outperforms GPU Implementations," Neural Networks and Learning Systems, IEEE Transactions on, vol.24, no.8, pp.1239-1252, Aug. 2013 (open access arXiv link)
  11. Orchard, G.; Jie Zhang; Yuanming Suo; Minh Dao; Nguyen, D.T.; Sang Chin; Posch, C.; Tran, T.D.; and Etienne-Cummings, R., "Real Time Compressive Sensing Video Reconstruction in Hardware," Emerging and Selected Topics in Circuits and Systems, IEEE Journal on, vol.2, no.3, pp. 604-615, Oct. 2012
  12. Russell, A.; Orchard, G.; Dong, Y.; Mihalas, S.; Niebur, E.; Tapson, J.; and Etienne-Cummings, R., "Optimization Methods for Spiking Neurons and Networks," Neural Networks, IEEE Transactions on, vol.21, no.12, pp.1950-1962, Dec. 2010
  13. Orchard, G.; and Etienne-Cummings, R., "Discriminating Multiple Nearby Targets Using Single-Ping Ultrasonic Scene Mapping," Circuits and Systems I: Regular Papers, IEEE Transactions on, vol.57, no.11, pp.2915-2924, Nov. 2010


Conference Proceedings:

  1. Tognetti, G.; Fischl, K.D.; Mendat, D.R; Sapsanis, C.; Rattray, J,; Campbell, L.F.; Elphage, L.; Walker, S.; Niebur, T.E.; Romney, H.; Rennoll, V.E.; Pasciaroni, A.; Orchard, G.; and Andreou, A.G.; "Self-Driving Robot Platform with Spike-Based Vision and Decision-Making Robotics" IEEE Conference on Information Sciences and Systems Baltimore, Maryland 2017
  2. Hoseini, S,; Orchard, G.; Yousefzadeh, A.; Deverakonda, B.; Serrano-Gotarredona, T.; and Linares-Barranco, B.; “Passive localization and detection of quadcopter UAVs using a Dynamic Vision Sensor” IEEE 5th Iranian joint congress on Fuzzy and Intelligent systems, Qazvin, Iran, March 2017
  3. Czech, D.; and Orchard, G. "Evaluating Noise Filtering for Event-based Asynchronous Change Detection Image Sensors" 6th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), Singapore, June 2016
  4. Orchard, G.; Lagorce, X.; Posch, C.; Furber, S.; Benosman R.; and Galluppi, F.  “Real-time Event-driven Spiking Neural Network Object Recognition on the SpiNNaker Platform” IEEE International Symposium on Circuits and Systems, special session on Real-Time Event-Based Sensor Processing, Lisbon, Portugal, May 2015 
  5. Delbruck, T.; Pfeiffer, M.; Juston, R.; Orchard, G.; Müggler, E.; Linares-Barranco, A.; and  Tilden, M.W. Human Vs. Computer Slot Car Racing Using an Event and Frame-Based DAVIS Vision Sensor ” IEEE International Symposium on Circuits and Systems, special session on Real-Time Event-Based Sensor Processing, Lisbon, Portugal, May 2015 
  6. Ghosh, R.; Mishra, A.; Orchard, G.; and Thakor, V. “Real-Time Object Recognition and Orientation Estimation Using an Event-Based Camera and CNN”, IEEE Biomedical Circuits and Systems, Lausanne, Switzerland, Nov 2014
  7. Orchard, G.; Matolin, D.; Lagorce, X.; Benosman, R.; Posch, C.  “Accelerated Frame-Free Time-Encoded Multi-Step Imaging", IEEE International Symposium on Circuits and Systems, Melbourne, Australia, June 2014
  8. Orchard, G.; Benosman, R.; Etienne-Cummings, R.; and Thakor, N. "A Spiking Neural Network Architecture for Visual Motion Estimation,” IEEE Biomedical Circuits and Systems, Rotterdam, Holland, Nov 2013.
  9. Orchard, G.; Thakor, N.; and Etienne-Cummings, R. "Real-Time Motion Estimation Using Spatiotemporal Filtering in FPGA,” IEEE Biomedical Circuits and Systems, Rotterdam, Holland, Nov 2013.
  10. Wang, Y.; Wu, T.; Orchard, G.; Dudek, P.; Rucci, M.; Shi, B."Hebbian Learning of Visually Directed Reaching by a Robot Arm" IEEE Biomedical Circuits and Systems, Beijing, China, November 2009.
  11. Orchard, G.; Bartolozzi, C.; and Indiveri, G. "Applying Neuromorphic Vision Sensors to Planetary Landing Tasks" IEEE Biomedical Circuits and Systems, Beijing, China, November 2009.
  12. Orchard, G.; Molin, J.; and Etienne-Cummings, R. "Simulation of a Single Ping Ultrasonic Bearing Estimation Design Using Spatiotemporal Filtering" IEEE Conference on Information Sciences and Systems, Baltimore, MD, USA, March 2009. 
  13. Folowosele, F.; Tenore, F.; Russell, A.; Orchard, G.; Vismer, M.; Tapson, J.; and Etienne-Cummings, "Implementing a Neuromorphic Cross-Correlation Engine with Silicon Neurons," IEEE International Symposium on Circuits and Systems, Seattle, WA, USA, May 2008. 
  14. Orchard, G.; Russell, A.; Mazurek, K.; Tenore, F.; and Etienne-Cummings, R. "Configuring Silicon Neural Networks Using Genetic Algorithms," IEEE International Symposium on Circuits and Systems, Seattle, WA, USA, May 2008
  15. Russell, A.; Orchard, G.; and Etienne-Cummings, R. "Configuring Spiking Central Pattern Generator Networks for Bipedal Walking Using Genetic Algorithms," IEEE International Symposium on Circuits and Systems, New Orleans, LA, USA, May 2007.

Live Demonstrations:
  1. Andreou, A.G.; Dykman, A.A.; Fischl, K.D; Garreau, G.; Mendat, D.R.; Orchard, G.; Cassidy, A.S.; Merolla, P.; Arthur, J.; Alvarez-Icaza, R.; Jackson, B.L.; Modha, D.S. "Real-time sensory information processing using the TrueNorth Neurosynaptic System" IEEE International Symposium on Circuits and Systems, Montreal, Canada, May 2016.
  2. Orchard, G.; Lagorce, X.; Posch, C.; Furber, S.; Benosman R.; and Galluppi, F.  “Real-time Event-driven Spiking Neural Network Object Recognition on the SpiNNaker Platform” IEEE International Symposium on Circuits and Systems, special session on Real-Time Event-Based Sensor Processing, Lisbon, Portugal, May 2015 
  3. Matolin, D.; Orchard, G.; Floderer, J.-P.; Orchard, G.; Posch, C. “Event-driven High Speed Imaging”, IEEE Biomedical Circuits and Systems, Lausanne, Switzerland, Nov 2014.
  4. Orchard, G.; Zhang, J.; Posch, C.; and Etienne-Cummings, R. “Real Time Compressed Sensing Scene Reconstruction Using Noise to Acquire Samples IEEE Biomedical Circuits and Systems, San Diego, CA, USA, November 2011 (winner of best live demo award)
  5. Orchard, G.; Farabet, C.; and Etienne-Cummings, R.; “Real-Time Moving Object Localization, Tracking and Classification” DARPA Neovision 2 review meeting, Malibu, CA, USA, Oct 2011
  6. Orchard, G.; Russell, A.; Mazurek, K.; Tenore, F.; and Etienne-Cummings, R. "Configuring Silicon Neural Networks Using Genetic Algorithms," IEEE International Symposium on Circuits and Systems, Seattle, WA, USA, May 2008

Theses:
  1. Orchard, G. “Real-Time Bio-Inspired Sensory Processing” Doctoral Thesis, Johns Hopkins University, 2012.
  2. Orchard, G. “Design and implementation of an If-Then Rules based control system for a biped robot” Undergraduate Thesis, The University of Cape Town, 2006.

Magazine Articles:
  1. Orchard, G.; Basu, A.; Thakor, N. “Building a Silicon Nervous System: Neuromorphic Engineering” Innovations Magazine, vol. 12, no. 1, 2013.
  2. Russell, A.; Orchard, G.; Reiley, C. “DIY Blood Pressure Monitor-Make a tester that’s tough, smart, cheap and mobile.” Make-Technology on Your Time, 29, 70, 2012

Abstracts:
  1. Cohen, G.; Orchard, G. "Processing a Spiking Neuromorphic Vision Digit Recognition Dataset", Asia-Pacific Summer School on Bio-Inspired Systems and Prosthetic Devices, Hualien, Taiwan, Aug 2015 (to appear)
  2. Orchard, G.; Thakor, N. "Towards Neurally Inspired Artificial Perception" IEEE Life Sciences Grand Challenges Conference, Singapore, Dec 2013