Conception and first implementation of novel sensory signal conditioning and digital conversion electronics based on spiking neuron ensembles for inherently robust processing in aggressively scaled integration technologies
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Beschreibung
Abstract
”In contemporary electronics 80% of a chip may perform digital functions but the 20%
of analog functions may take 80% of the development time.” [1]. Aggravating this, the
demands on analog design is increasing with rapid technology scaling. Most designs
have moved away from analog to digital domains, where possible, however, interacting
with the environment will always require analog to digital data conversion. Adding to
this problem, the number of sensors used in consumer and industry related products are
rapidly increasing. Designers of ADCs are dealing with this problem in several ways, the
most important is the migration towards digital designs and time domain techniques.
Time to Digital Converters (TDC) are becoming increasingly popular for robust signal
processing. Biological neurons make use of spikes, which carry spike timing information
and will not be affected by the problems related to technology scaling. Neuromorphic
ADCs still remain exotic with few implementations in sub-micron technologies Table 2.7.
Even among these few designs, the strengths of biological neurons are rarely exploited.
From a previous work [2], LUCOS, a high dynamic range image sensor, the efficiency
of spike processing has been validated. The ideas from this work can be generalized to
make a highly effective sensor signal conditioning system, which carries the promise to
be robust to technology scaling.
Autor*in
Abhaya Chandra Kammara Subramanyam
Themen in »Conception and first implementation of novel sensory signal conditioning and digital conversion electronics based on spiking neuron ensembles for inherently robust processing in aggressively scaled integration technologies«
A/D-Conversion Integrated Sensor Signal Conditioning & Conversion Self-X sensor systems Spiking Neural Networks neuro micro nanoelectronics