Photo Credit: Institute of NeuroInformatics, ETH Zurich and University of Zurich
In this episode Sunny talks to Professor Melika Payvand who designs neural systems from the circuit-level up at the Institute of Neuroinformatics in Zurich. They discuss the role that memristors play in the systems she designs, why neural circuits need to operate at different timescales, and how copying some features of biological dendrites could add computational power to silicon brains. Discussion follows with Dr Giulia D’Angelo from the Italian Institute of Technology and Professor Ralph Etienne-Cummings from Johns Hopkins University.
Articles and Papers
- VIDEO: Analog substrates for temporal and local event-based computation
- Dendritic computation through exploiting resistive memory as both delays and weights
- The neuromorphic Mosaic: in-memory computing and routing for small-world graphical networks
- Self-organization of an inhomogeneous memristive hardware for sequence learning
- A configurable CMOS memory platform for 3D-integrated memristors
From the Discussion
- Multidisciplinary University Research Initiatives (MURI) Program
- Neurocomputing hardware: present and future
- Mentium Technologies
- 3-D Memristor Crossbars for Analog and Neuromorphic Computing Applications
- An analog neural computer with modular architecture for real-time dynamic computations
- On the Timescales of Embodied Intelligence for Autonomous Adaptive Systems
- Floating-gate devices: they are not just for digital memories any more
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.
