Characterizing signal encoding and transmission in class i and class II neurons via ordinal time-series analysis
1908.01548.pdf (7,194Mb) (Restricted access) Request copy
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
PublisherInstitute of Physics (IOP)
Rights accessRestricted access - publisher's policy (embargoed until 2021-02-01)
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.
CitationEstarellas, 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.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder