Wave to pulse generation. From oscillatory synapse to train of action potentials
Alexandra Pinto Castellanos

TL;DR
This paper proposes a model of the synapse as an oscillatory system that transforms digital signals into wave patterns, maintaining frequency and information during neural transmission.
Contribution
It introduces a novel oscillatory synapse model that accounts for synchronization, conservation of information, and wave interference in neural signal processing.
Findings
Synapses act as oscillatory systems capable of synchronization.
The model preserves frequency and information during signal transformation.
Interference patterns reflect the probability distribution of action potentials.
Abstract
Neurons have the capability of transforming information from a digital signal at the dendrites of the presynaptic termi- nal to an analogous wave at the synaptic cleft and back to a digital pulse when they achieve the required voltage for the generation of an action potential at the postsynaptic neuron. The main question of this research is what processes are generating the oscillatory wave signal at the synaptic cleft and what is the best model for this phenomenon. Here, it is proposed a model of the synapse as an oscillatory system capable of synchronization taking into account conservation of information and consequently of frequency at the interior of the synaptic cleft. Trains of action potentials certainly encode and transmit information along the nervous system but most of the time neurons are not transmitting action potentials, 99 percent of their time neurons are in the sub…
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Taxonomy
TopicsNeural dynamics and brain function · Photoreceptor and optogenetics research · Advanced Memory and Neural Computing
