Characterizing signal encoding and transmission in class i and class II neurons via ordinal time-series analysis
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Cita com:
hdl:2117/183911
Tipus de documentArticle
Data publicació2020-01-16
EditorInstitute of Physics (IOP)
Condicions d'accésAccés obert
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Abstract
Neurons encode and transmit information in spike sequences. However, despite the effort devoted to understand the encoding and trans-mission of information, the mechanisms underlying the neuronal encoding are not yet fully understood. Here, we use a nonlinear methodof time-series analysis (known as ordinal analysis) to compare the statistics of spike sequences generated by applying an input signal to theneuronal model of Morris–Lecar. In particular, we consider two different regimes for the neurons which lead to two classes of excitability:class I, where the frequency-current curve is continuous and class II, where the frequency-current curve is discontinuous. By applying ordinalanalysis to sequences of inter-spike-intervals (ISIs) our goals are (1) to investigate if different neuron types can generate spike sequences whichhave similar symbolic properties; (2) to get deeper understanding on the effects that electrical (diffusive) and excitatory chemical (i.e., exci-tatory synapse) couplings have; and (3) to compare, when a small-amplitude periodic signal is applied to one of the neurons, how the signalfeatures (amplitude and frequency) are encoded and transmitted in the generated ISI sequences for both class I and class II type neurons andelectrical or chemical couplings. We find that depending on the frequency, specific combinations of neuron/class and coupling-type allow amore effective encoding, or a more effective transmission of the signal.
CitacióEstarellas, C. [et al.]. Characterizing signal encoding and transmission in class i and class II neurons via ordinal time-series analysis. "Chaos : an interdisciplinary journal of nonlinear science", 16 Gener 2020, vol. 30, núm. 1, p. 013123:1-013123:15.
ISSN1054-1500
Versió de l'editorhttps://aip.scitation.org/doi/10.1063/1.5121257
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