  Energy consumption remains the main limiting factors in many promising IoT
applications. In particular, micro-controllers consume far too much power. In
order to overcome this problem, new circuit designs have been proposed and the
use of spiking neurons and analog computing has emerged as it allows a very
significant consumption reduction. However, working in the analog domain brings
difficulty to handle the sequential processing of incoming signals as is needed
in many use cases.In this paper, we propose to use a bio-inspired phenomenon
called Interacting Synapses to produce a time filter. We propose a model of
synapses that makes the neuron fire for a specific range of delays between two
incoming spikes, but not react when this Inter-Spike Timing is not in that
range. We study the parameters of the model to understand how to adapt the
Inter-Spike Timing. The originality of the paper is to propose a new way, in
the analog domain, to deal with temporal sequences.
