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Synaptic circuits and functions in bio-inspired integrated architectures

Designing and advancing neurosynaptic physical-time systems - a practical introduction and survey.
PhD ceremony:O.J. (Ole) Richter, Dr
When:October 15, 2024
Start:12:45
Supervisors:E. (Elisabetta) Chicca, Prof, H. (Herbert) Jaeger, Prof
Where:Academy building RUG
Faculty:Science and Engineering
Synaptic circuits and functions in bio-inspired integrated
architectures

Humans have long imagined machines, robots, and computers that learn and display intelligence akin to animals and themselves. To advance the development of these machines, researchers are working on developing custom-built hardware designed for specific types of computation, which mirrors the structure of powerful biological nervous systems. 

With his research, Ole Richter aims to harness biological and artificial neural principles to enhance the efficiency, adaptability, and intelligence of electronic neurosynaptic and neuromorphic hardware systems. He investigates the hardware design of bio-inspired neural components and their integration into more extensive scale and efficient chip architectures suitable for edge processing and near-sensor environments.

Exploring all steps to the creation of a custom chip, Richter selectively surveys and advances the state-of-the-art in bio-inspired mixed-signal subthreshold integrated design for neurosynaptic systems in a practical fashion. Further, he presents a novel asynchronous digital convolutional neuronal network processing pipeline integrated with a vision sensor for smart sensing. In conclusion, he sets forth a series of open challenges and future directions for the field, emphasizing the need for a robust, future-proof base for bio-inspired design and the potential of asynchronous stream processor architectures.

See also: DYNAP-SE2 - Institute of Neuroinformatics and Neuromorphic Developers Partner to Integrate Sensor, Processor