In this episode Sunny talks to Dr Tobi Delbrück, one of the original neuromorphic engineers from Carver Mead’s team at Caltech. Now a professor at the Institute of Neuroinformatics in Zurich, he has spent his career developing neuromorphic cameras and other technology. You’ll find out how he got started in the field, his work developing the dynamic vision sensor, also known as an event camera, and the pros and cons of sparse representations. Discussion follows with Giulia and Ralph.
Articles and Papers
- A 128×128 120 dB 15 ms Latency Asynchronous Temporal Contrast Vision Sensor
- Energy-efficient activity-driven computing architectures for edge intelligence
- RPGD: A Small-Batch Parallel Gradient Descent Optimizer with Explorative Resampling for Nonlinear Model Predictive Control
- MOSIS – A gateway to silicon
- A quantitative description of membrane current and its application to conduction and excitation in nerve
From the Discussion
- Sparse coding with an overcomplete basis set: A strategy employed by V1?
- Real time compressive sensing video reconstruction in hardware
- Elegant stepping: A model of visually triggered gait adaptation
- Center for Neuromorphic Systems Engineering, California Institute of Technology: Endowing machines of the next century with human senses
- Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays
- Trends in CMOS image sensor technology and design
- BOOK – The Silicon Eye
Episode Credits
Producer/Writer/Editor: Sunny Bains
Co-hosts: Sunny Bains and Giulia D’Angelo
Commentator: Ralph Etienne-Cummings
Audio Production: Taylor Marvin, Coupe Studios Music and Sound Design
Music: 3 of Diamonds by Matt Harris
For EETimes.com
This episode is produced in conjunction with EETimes. Podcast reproduced with permission.
