Spike timing–based coding in neuromimetic tactile system enables dynamic object classification

• Rapid processing of tactile information is essential to human haptic exploration and dexterous object manipulation. Conventional electronic skins generate frames of tactile signals upon interaction with objects. Unfortunately, they are generally ill-suited for efficient coding of temporal information and rapid feature extraction. In this work, we report a neuromorphic tactile system that uses spike timing, especially the first-spike timing, to code dynamic tactile information about touch and grasp. This strategy enables the system to seamlessly code highly dynamic information with millisecond temporal resolution on par with the biological nervous system, yielding dynamic extraction of tactile features. Upon interaction with objects, the system rapidly classifies them in the initial phase of touch and grasp, thus paving the way to fast tactile feedback desired for neuro-robotics and neuro-prosthetics. 

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Keyword

Artificiell intelligens

Artificial Intelligence

Electrical Engineering with Specialisation in Networked Embedded Systems

Elektroteknik med inriktning mot nätverksbaserade inbyggda system

Electrical Engineering with specialization in Signal Processing

Elektroteknik med inriktning mot signalbehandling

Engineering Science with specialization in Biomedical Engineering

Teknisk fysik med inriktning mot medicinsk teknik

Machine learning

Maskininlärning

Publication and Content Type

ref (subject category)

art (subject category)