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Updated: Feb 6, 2026

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
Published on: September 5, 2012
Neural network identification of people hidden from view with a single-pixel, single-photon detector
Piergiorgio Caramazza1,2, Alessandro Boccolini1, Daniel Buschek3
1Institute of Photonics and Quantum Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Abstract:
Light scattered from multiple surfaces can be used to retrieve information of hidden environments. However, full three-dimensional retrieval of an object hidden from view by a wall has only been achieved with scanning systems and requires intensive computational processing of the retrieved data. Here we use a non-scanning, single-photon single-pixel detector in combination with a deep convolutional artificial neural network: this allows us to locate the position and to also simultaneously provide the actual identity of a hidden person, chosen from a database of people (N = 3). Artificial neural networks applied to specific computational imaging problems can therefore enable novel imaging capabilities with hugely simplified hardware and processing times.
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