2020/02/29 by Marius E. Yamakou, Poul G. Hjorth, Erik A. Martens · 35 citations
Biochemistry, Genetics and Molecular Biology · Engineering · Neuroscience · Physics and Astronomy · #Advanced Memory and Neural Computing #Artificial neural network #Biological neural network #Electrical Synapses #Excitatory postsynaptic potential #Inhibitory postsynaptic potential #Multiplexing #Neural dynamics and brain function #Stochastic resonance #Synaptic weight #nlin.AO #q-bio.NC #stochastic dynamics and bifurcation
paper · pdf · open access · doi:10.3389/fncom.2020.00062
published in Frontiers in Computational Neuroscience 14, 62 (Frontiers Media) · 24 pages, 7 figures
openalex created_date 2020/03/06 · arxiv created 2020/06/13 · arxiv updated 2020/06/16 · openalex publication_date 2020/08/07 · openalex updated_date 2026/08/05
Electrical and chemical synapses shape the dynamics of neural networks, and their functional roles in information processing have been a longstanding question in neurobiology. In this paper, we investigate the role of synapses on the optimization of the phenomenon of self-induced stochastic resonance in a delayed multiplex neural network by using analytical and numerical methods. We consider a two-layer multiplex network in which, at the intra-layer level, neurons are coupled either by electrical synapses or by inhibitory chemical synapses. For each isolated layer, computations indicate that weaker electrical and chemical synaptic couplings are better optimizers of self-induced stochastic resonance. In addition, regardless of the synaptic strengths, shorter electrical synaptic delays are found to be better optimizers of the phenomenon than shorter chemical synaptic delays, while longer chemical synaptic delays are better optimizers than longer electrical synaptic delays; in both cases, the poorer optimizers are, in fact, worst. It is found that electrical, inhibitory, or excitatory chemical multiplexing of the two layers having only electrical synapses at the intra-layer levels can each optimize the phenomenon. Additionally, only excitatory chemical multiplexing of the two layers having only inhibitory chemical synapses at the intra-layer levels can optimize the phenomenon. These results may guide experiments aimed at establishing or confirming to the mechanism of self-induced stochastic resonance in networks of artificial neural circuits as well as in real biological neural networks.