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Page 1
Oscillations and variability in neuronal systems: interplay of autonomous transient dynamics and fast deterministic fluctuations.
Pena RFO, Rotstein HG. Pena RFO, et al. Among authors: rotstein hg. J Comput Neurosci. 2022 Aug;50(3):331-355. doi: 10.1007/s10827-022-00819-7. Epub 2022 Jun 2. J Comput Neurosci. 2022. PMID: 35653072
In addition, the voltage responses to PWC inputs exhibited variability across trials, which is reminiscent of the variability generated by stochastic noise (e.g., Gaussian white noise). Our analysis demonstrates that both oscillations and variability are the result of the …
In addition, the voltage responses to PWC inputs exhibited variability across trials, which is reminiscent of the variability generated by s …
Feedback Signal from Motoneurons Influences a Rhythmic Pattern Generator.
Rotstein HG, Schneider E, Szczupak L. Rotstein HG, et al. J Neurosci. 2017 Sep 20;37(38):9149-9159. doi: 10.1523/JNEUROSCI.0756-17.2017. Epub 2017 Aug 16. J Neurosci. 2017. PMID: 28821650 Free PMC article.
At the basis of this hierarchy, we find the motoneurons, few neurons at the top control global aspects of the behavior (e.g., onset, duration); and within these two ends, specific neuronal circuits control the actual rhythmic pattern of movements. ...
At the basis of this hierarchy, we find the motoneurons, few neurons at the top control global aspects of the behavior (e.g., onset, …
Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.
Bel A, Rotstein HG. Bel A, et al. Among authors: rotstein hg. J Comput Neurosci. 2019 Apr;46(2):169-195. doi: 10.1007/s10827-019-00710-y. Epub 2019 Mar 20. J Comput Neurosci. 2019. PMID: 30895410
Our results have direct implications for network models of firing rate type and other biological oscillatory networks (e.g, biochemical, genetic)....
Our results have direct implications for network models of firing rate type and other biological oscillatory networks (e.g, biochemic …
Dynamic compensation mechanism gives rise to period and duty-cycle level sets in oscillatory neuronal models.
Rotstein HG, Olarinre M, Golowasch J. Rotstein HG, et al. J Neurophysiol. 2016 Nov 1;116(5):2431-2452. doi: 10.1152/jn.00357.2016. Epub 2016 Aug 24. J Neurophysiol. 2016. PMID: 27559141 Free PMC article.
According to this hypothesis, the dynamics of each ionic current during a given cycle are well captured by some constant quantity (e.g., maximal conductances), and the phase-plane diagrams are identical or are almost identical (e.g., cubic-like nullclines with the s …
According to this hypothesis, the dynamics of each ionic current during a given cycle are well captured by some constant quantity (e.g …
Subthreshold amplitude and phase resonance in models of quadratic type: nonlinear effects generated by the interplay of resonant and amplifying currents.
Rotstein HG. Rotstein HG. J Comput Neurosci. 2015 Apr;38(2):325-54. doi: 10.1007/s10827-014-0544-2. Epub 2015 Jan 15. J Comput Neurosci. 2015. PMID: 25586875
These models feature a parabolic voltage nullcline and a linear nullcline for the recovery gating variable, capturing the interplay of the so-called resonant currents (e.g., hyperpolarization-activated mixed-cation inward and slow potassium) and amplifying currents (e.g …
These models feature a parabolic voltage nullcline and a linear nullcline for the recovery gating variable, capturing the interplay of the s …
Frequency preference in two-dimensional neural models: a linear analysis of the interaction between resonant and amplifying currents.
Rotstein HG, Nadim F. Rotstein HG, et al. J Comput Neurosci. 2014 Aug;37(1):9-28. doi: 10.1007/s10827-013-0483-3. Epub 2013 Nov 20. J Comput Neurosci. 2014. PMID: 24254440 Free PMC article.
We propose a general framework to analyze the role of different ionic currents and their interactions in shaping the properties of impedance amplitude and phase in linearized biophysical models and demonstrate this approach in a two-dimensional linear model with two effective con …
We propose a general framework to analyze the role of different ionic currents and their interactions in shaping the properties of impedance …
Spiking resonances in models with the same slow resonant and fast amplifying currents but different subthreshold dynamic properties.
Rotstein HG. Rotstein HG. J Comput Neurosci. 2017 Dec;43(3):243-271. doi: 10.1007/s10827-017-0661-9. Epub 2017 Oct 24. J Comput Neurosci. 2017. PMID: 29064059
Combinations of the same types of ionic currents in different parameter regimes may give rise to different types of nonlinearities in the voltage equation (e.g., parabolic- and cubic-like), generating subthreshold (membrane potential) oscillations patterns with different p …
Combinations of the same types of ionic currents in different parameter regimes may give rise to different types of nonlinearities in the vo …
Emergence of localized patterns in globally coupled networks of relaxation oscillators with heterogeneous connectivity.
Leiser RJ, Rotstein HG. Leiser RJ, et al. Among authors: rotstein hg. Phys Rev E. 2017 Aug;96(2-1):022303. doi: 10.1103/PhysRevE.96.022303. Epub 2017 Aug 3. Phys Rev E. 2017. PMID: 28950537
Oscillations in far-from-equilibrium systems (e.g., chemical, biochemical, biological) are generated by the nonlinear interplay of positive and negative feedback effects operating at different time scales. ...
Oscillations in far-from-equilibrium systems (e.g., chemical, biochemical, biological) are generated by the nonlinear interplay of po …