2011 IEEE International Symposium of Circuits and Systems (ISCAS) 2011
DOI: 10.1109/iscas.2011.5937995
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The integrate-and-fire sampler: A special type of asynchronous Σ - Δ modulator

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Cited by 8 publications
(8 citation statements)
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“…When the signal is static, they keep on transmitting redundant data, but with no additional information, and can miss important samples when the signal changes rapidly, with a trade-off between sampling rate (for capturing dynamic signals) and data load. Conversely, in most neuromorphic sensory systems, the sensed signal is sampled and converted into digital pulses (or "events", or "spikes") only when there is a large enough change in the signal itself, using event-based time encoding schemes 15,16 such as pulse-density or sigma-delta modulation 17 . The data acquisition is hence adapted to the signal dynamics, with the event rate increasing for rapidly changing stimuli and decreasing for slowly changing ones.…”
Section: Box 1 | the Need For Adaptation In Roboticsmentioning
confidence: 99%
“…When the signal is static, they keep on transmitting redundant data, but with no additional information, and can miss important samples when the signal changes rapidly, with a trade-off between sampling rate (for capturing dynamic signals) and data load. Conversely, in most neuromorphic sensory systems, the sensed signal is sampled and converted into digital pulses (or "events", or "spikes") only when there is a large enough change in the signal itself, using event-based time encoding schemes 15,16 such as pulse-density or sigma-delta modulation 17 . The data acquisition is hence adapted to the signal dynamics, with the event rate increasing for rapidly changing stimuli and decreasing for slowly changing ones.…”
Section: Box 1 | the Need For Adaptation In Roboticsmentioning
confidence: 99%
“…Motivated by the active mechanisms of signal-detection and processing within biological sensors and systems, past studies have presented novel sensor system architectures that exploit a bio-inspired neuronal model approach namely using the leaky-integrate-and-fire (LIF) neuron [14][15]. It led to the creation of a novel design approach for an acoustic signal processing methodology performed at the transducer level [16][17].…”
Section: Adaptive Sound Processingmentioning
confidence: 99%
“…timeto-first-spike, is equivalent to a classic single or double ramp integrating ADC and requires the use of external clock signaling for the conversion. PDM, also called integrate-and-fire or spike-counting, differentiates from the previous method in that it is a fully asynchronous approach [107,108]. In this case, modulation is achieved as depicted in Fig.…”
Section: Motivation and Design Proposalmentioning
confidence: 99%