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Eric Carlson

Researcher at University of Washington

Publications -  22
Citations -  2168

Eric Carlson is an academic researcher from University of Washington. The author has contributed to research in topics: Thermoelectric generator & Low voltage. The author has an hindex of 14, co-authored 19 publications receiving 2035 citations. Previous affiliations of Eric Carlson include Johns Hopkins University & Johns Hopkins University School of Medicine.

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Journal ArticleDOI

A 20 mV Input Boost Converter With Efficient Digital Control for Thermoelectric Energy Harvesting

TL;DR: In this paper, a low power boost converter for thermoelectric energy harvesting that demonstrates an efficiency that is 15% higher than the state-of-the-art for voltage conversion ratios above 20.
Proceedings Article

A 20 mV Input Boost Converter With Efficient Digital Control for Thermoelectric Energy Harvesting

TL;DR: In this article, a low power boost converter for thermoelectric energy harvesting that demonstrates an efficiency that is 15% higher than the state-of-the-art for voltage conversion ratios above 20.
Journal ArticleDOI

A Batteryless 19 $\mu$ W MICS/ISM-Band Energy Harvesting Body Sensor Node SoC for ExG Applications

TL;DR: This SoC is designed so the integration and interaction of circuit blocks accomplish an integrated, flexible, and reconfigurable wireless BSN SoC capable of autonomous power management and operation from harvested power, thus prolonging the node lifetime indefinitely.
Journal ArticleDOI

A neural code for three-dimensional object shape in macaque inferotemporal cortex.

TL;DR: This work used an evolutionary stimulus strategy and linear/nonlinear response models to characterize three-dimensional shape responses in macaque monkey inferotemporal cortex (IT) and found widespread tuning for three- dimension spatial configurations of surface fragments characterized by their three- dimensional orientations and joint principal curvatures.
Journal ArticleDOI

Medial Axis Shape Coding in Macaque Inferotemporal Cortex

TL;DR: Adaptive shape sampling is used to demonstrate explicit coding of medial axis shape in high-level object cortex (macaque monkey inferotemporal cortex or IT), and metric shape analyses revealed a coding continuum, along which most neurons represent a configuration of both medial axis and surface components.