The artificial touch neuron system has attracted the
attention
of researchers in the field of artificial intelligence because of
its potential application in human health monitoring and human–computer
interaction. A memristor can realize memory and computer integration,
which is expected to overcome the limitations of the traditional von
Neumann system. The combination of tactile sensors and memristors
to construct artificial tactile neurons can realize highly parallel
perception, memory, and processing of tactile information. In this
paper, a biomemristor was fabricated using starch as the main material
of the active layer. By embedding carbon nanotubes in the active layer
of a starch memristor, the switching ratio of the device can be adjusted,
and the device stability can be enhanced. A flexible haptic sensor
based on starch was fabricated; the maximum strain could reach more
than 15%, and the sensitivity could reach GF = 2.05, which could meet
the needs of haptic perception. Artificial touch neurons can realize
bionic synaptic functions such as paired-pulse facilitation, enhancement/inhibition,
pulse time, and frequency-dependent plasticity. Tactile neurons realize
the functions of memory, processing, and learning of tactile information
and have significant application prospects in human–computer
interactions, flexible robots, artificial intelligence, and other
fields.