The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Tímea Éltes - One of the best experts on this subject based on the ideXlab platform.
-
improved spike inference accuracy by estimating the Peak Amplitude of unitary ca2 transients in weakly gcamp6f expressing hippocampal pyramidal cells
The Journal of Physiology, 2019Co-Authors: Tímea Éltes, Miklos Szoboszlay, Katalin Kertiszigeti, Zoltan NusserAbstract:Key points The Amplitude of unitary, single action potential-evoked [Ca2+ ] transients negatively correlates with GCaMP6f expression, but displays large variability among hippocampal pyramidal cells with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. The main source of spike inference error is variability in the Peak Amplitude, and not in the decay or supralinearity. We developed two procedures to estimate the Peak Amplitudes of unitary [Ca2+ ] transients and show that spike inference performed with MLspike using these unitary Amplitude estimates in weakly GCaMP6f-expressing cells results in error rates of ∼5%. Abstract Investigating neuronal activity using genetically encoded Ca2+ indicators in behaving animals is hampered by inaccuracies in spike inference from fluorescent tracers. Here we combine two-photon [Ca2+ ] imaging with cell-attached recordings, followed by post hoc determination of the expression level of GCaMP6f, to explore how it affects the Amplitude, kinetics and temporal summation of somatic [Ca2+ ] transients in mouse hippocampal pyramidal cells (PCs). The Amplitude of unitary [Ca2+ ] transients (evoked by a single action potential) negatively correlates with GCaMP6f expression, but displays large variability even among PCs with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. We performed experimental data-based simulations and found that spike inference error rates using MLspike depend strongly on unitary Peak Amplitudes and GCaMP6f expression levels. We provide simple methods for estimating the unitary [Ca2+ ] transients in individual weakly GCaMP6f-expressing PCs, with which we achieve spike inference error rates of ∼5%.
-
Improved spike inference accuracy by estimating the Peak Amplitude of unitary [Ca2+] transients in weakly GCaMP6f‐expressing hippocampal pyramidal cells
The Journal of physiology, 2019Co-Authors: Tímea Éltes, Miklos Szoboszlay, Katalin Kerti-szigeti, Zoltan NusserAbstract:Key points The Amplitude of unitary, single action potential-evoked [Ca2+ ] transients negatively correlates with GCaMP6f expression, but displays large variability among hippocampal pyramidal cells with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. The main source of spike inference error is variability in the Peak Amplitude, and not in the decay or supralinearity. We developed two procedures to estimate the Peak Amplitudes of unitary [Ca2+ ] transients and show that spike inference performed with MLspike using these unitary Amplitude estimates in weakly GCaMP6f-expressing cells results in error rates of ∼5%. Abstract Investigating neuronal activity using genetically encoded Ca2+ indicators in behaving animals is hampered by inaccuracies in spike inference from fluorescent tracers. Here we combine two-photon [Ca2+ ] imaging with cell-attached recordings, followed by post hoc determination of the expression level of GCaMP6f, to explore how it affects the Amplitude, kinetics and temporal summation of somatic [Ca2+ ] transients in mouse hippocampal pyramidal cells (PCs). The Amplitude of unitary [Ca2+ ] transients (evoked by a single action potential) negatively correlates with GCaMP6f expression, but displays large variability even among PCs with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. We performed experimental data-based simulations and found that spike inference error rates using MLspike depend strongly on unitary Peak Amplitudes and GCaMP6f expression levels. We provide simple methods for estimating the unitary [Ca2+ ] transients in individual weakly GCaMP6f-expressing PCs, with which we achieve spike inference error rates of ∼5%.
Zoltan Nusser - One of the best experts on this subject based on the ideXlab platform.
-
improved spike inference accuracy by estimating the Peak Amplitude of unitary ca2 transients in weakly gcamp6f expressing hippocampal pyramidal cells
The Journal of Physiology, 2019Co-Authors: Tímea Éltes, Miklos Szoboszlay, Katalin Kertiszigeti, Zoltan NusserAbstract:Key points The Amplitude of unitary, single action potential-evoked [Ca2+ ] transients negatively correlates with GCaMP6f expression, but displays large variability among hippocampal pyramidal cells with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. The main source of spike inference error is variability in the Peak Amplitude, and not in the decay or supralinearity. We developed two procedures to estimate the Peak Amplitudes of unitary [Ca2+ ] transients and show that spike inference performed with MLspike using these unitary Amplitude estimates in weakly GCaMP6f-expressing cells results in error rates of ∼5%. Abstract Investigating neuronal activity using genetically encoded Ca2+ indicators in behaving animals is hampered by inaccuracies in spike inference from fluorescent tracers. Here we combine two-photon [Ca2+ ] imaging with cell-attached recordings, followed by post hoc determination of the expression level of GCaMP6f, to explore how it affects the Amplitude, kinetics and temporal summation of somatic [Ca2+ ] transients in mouse hippocampal pyramidal cells (PCs). The Amplitude of unitary [Ca2+ ] transients (evoked by a single action potential) negatively correlates with GCaMP6f expression, but displays large variability even among PCs with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. We performed experimental data-based simulations and found that spike inference error rates using MLspike depend strongly on unitary Peak Amplitudes and GCaMP6f expression levels. We provide simple methods for estimating the unitary [Ca2+ ] transients in individual weakly GCaMP6f-expressing PCs, with which we achieve spike inference error rates of ∼5%.
-
Improved spike inference accuracy by estimating the Peak Amplitude of unitary [Ca2+] transients in weakly GCaMP6f‐expressing hippocampal pyramidal cells
The Journal of physiology, 2019Co-Authors: Tímea Éltes, Miklos Szoboszlay, Katalin Kerti-szigeti, Zoltan NusserAbstract:Key points The Amplitude of unitary, single action potential-evoked [Ca2+ ] transients negatively correlates with GCaMP6f expression, but displays large variability among hippocampal pyramidal cells with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. The main source of spike inference error is variability in the Peak Amplitude, and not in the decay or supralinearity. We developed two procedures to estimate the Peak Amplitudes of unitary [Ca2+ ] transients and show that spike inference performed with MLspike using these unitary Amplitude estimates in weakly GCaMP6f-expressing cells results in error rates of ∼5%. Abstract Investigating neuronal activity using genetically encoded Ca2+ indicators in behaving animals is hampered by inaccuracies in spike inference from fluorescent tracers. Here we combine two-photon [Ca2+ ] imaging with cell-attached recordings, followed by post hoc determination of the expression level of GCaMP6f, to explore how it affects the Amplitude, kinetics and temporal summation of somatic [Ca2+ ] transients in mouse hippocampal pyramidal cells (PCs). The Amplitude of unitary [Ca2+ ] transients (evoked by a single action potential) negatively correlates with GCaMP6f expression, but displays large variability even among PCs with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. We performed experimental data-based simulations and found that spike inference error rates using MLspike depend strongly on unitary Peak Amplitudes and GCaMP6f expression levels. We provide simple methods for estimating the unitary [Ca2+ ] transients in individual weakly GCaMP6f-expressing PCs, with which we achieve spike inference error rates of ∼5%.
P. G. Kevrekidis - One of the best experts on this subject based on the ideXlab platform.
-
Rogue waves of ultra-high Peak Amplitude: a mechanism for reaching up to a thousand times the background level
Proceedings of the Royal Society A: Mathematical Physical and Engineering Sciences, 2021Co-Authors: Wen-rong Sun, Lei Liu, P. G. KevrekidisAbstract:We unveil a mechanism enabling a fundamental rogue wave, expressed by a rational function of fourth degree, to reach a Peak Amplitude as high as a thousand times the background level in a system of...
-
Rogue waves of Ultra-High Peak Amplitude: A Mechanism for Reaching up to Thousand Times the Background Level
arXiv: Pattern Formation and Solitons, 2020Co-Authors: Wen-rong Sun, Lei Liu, P. G. KevrekidisAbstract:We unveil a mechanism enabling a fundamental rogue wave, expressed by a rational function of fourth degree, to reach a Peak Amplitude as high as a thousand times the background level in a system of coupled nonlinear Schrodinger equations involving both incoherent and coherent coupling terms with suitable coefficients. We obtain the exact explicit vector rational solutions using a Darboux-dressing transformation. We show that both components of such coupled equations can reach extremely high Amplitudes. The mechanism is confirmed in direct numerical simulations and its robustness confirmed upon noisy perturbations. Additionally, we showcase the fact that extremely high Peak-Amplitude vector fundamental rogue waves (of about 80 times the background level) can be excited even within a chaotic background field.
Wen-rong Sun - One of the best experts on this subject based on the ideXlab platform.
-
Rogue waves of ultra-high Peak Amplitude: a mechanism for reaching up to a thousand times the background level
Proceedings of the Royal Society A: Mathematical Physical and Engineering Sciences, 2021Co-Authors: Wen-rong Sun, Lei Liu, P. G. KevrekidisAbstract:We unveil a mechanism enabling a fundamental rogue wave, expressed by a rational function of fourth degree, to reach a Peak Amplitude as high as a thousand times the background level in a system of...
-
Rogue waves of Ultra-High Peak Amplitude: A Mechanism for Reaching up to Thousand Times the Background Level
arXiv: Pattern Formation and Solitons, 2020Co-Authors: Wen-rong Sun, Lei Liu, P. G. KevrekidisAbstract:We unveil a mechanism enabling a fundamental rogue wave, expressed by a rational function of fourth degree, to reach a Peak Amplitude as high as a thousand times the background level in a system of coupled nonlinear Schrodinger equations involving both incoherent and coherent coupling terms with suitable coefficients. We obtain the exact explicit vector rational solutions using a Darboux-dressing transformation. We show that both components of such coupled equations can reach extremely high Amplitudes. The mechanism is confirmed in direct numerical simulations and its robustness confirmed upon noisy perturbations. Additionally, we showcase the fact that extremely high Peak-Amplitude vector fundamental rogue waves (of about 80 times the background level) can be excited even within a chaotic background field.
Miklos Szoboszlay - One of the best experts on this subject based on the ideXlab platform.
-
improved spike inference accuracy by estimating the Peak Amplitude of unitary ca2 transients in weakly gcamp6f expressing hippocampal pyramidal cells
The Journal of Physiology, 2019Co-Authors: Tímea Éltes, Miklos Szoboszlay, Katalin Kertiszigeti, Zoltan NusserAbstract:Key points The Amplitude of unitary, single action potential-evoked [Ca2+ ] transients negatively correlates with GCaMP6f expression, but displays large variability among hippocampal pyramidal cells with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. The main source of spike inference error is variability in the Peak Amplitude, and not in the decay or supralinearity. We developed two procedures to estimate the Peak Amplitudes of unitary [Ca2+ ] transients and show that spike inference performed with MLspike using these unitary Amplitude estimates in weakly GCaMP6f-expressing cells results in error rates of ∼5%. Abstract Investigating neuronal activity using genetically encoded Ca2+ indicators in behaving animals is hampered by inaccuracies in spike inference from fluorescent tracers. Here we combine two-photon [Ca2+ ] imaging with cell-attached recordings, followed by post hoc determination of the expression level of GCaMP6f, to explore how it affects the Amplitude, kinetics and temporal summation of somatic [Ca2+ ] transients in mouse hippocampal pyramidal cells (PCs). The Amplitude of unitary [Ca2+ ] transients (evoked by a single action potential) negatively correlates with GCaMP6f expression, but displays large variability even among PCs with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. We performed experimental data-based simulations and found that spike inference error rates using MLspike depend strongly on unitary Peak Amplitudes and GCaMP6f expression levels. We provide simple methods for estimating the unitary [Ca2+ ] transients in individual weakly GCaMP6f-expressing PCs, with which we achieve spike inference error rates of ∼5%.
-
Improved spike inference accuracy by estimating the Peak Amplitude of unitary [Ca2+] transients in weakly GCaMP6f‐expressing hippocampal pyramidal cells
The Journal of physiology, 2019Co-Authors: Tímea Éltes, Miklos Szoboszlay, Katalin Kerti-szigeti, Zoltan NusserAbstract:Key points The Amplitude of unitary, single action potential-evoked [Ca2+ ] transients negatively correlates with GCaMP6f expression, but displays large variability among hippocampal pyramidal cells with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. The main source of spike inference error is variability in the Peak Amplitude, and not in the decay or supralinearity. We developed two procedures to estimate the Peak Amplitudes of unitary [Ca2+ ] transients and show that spike inference performed with MLspike using these unitary Amplitude estimates in weakly GCaMP6f-expressing cells results in error rates of ∼5%. Abstract Investigating neuronal activity using genetically encoded Ca2+ indicators in behaving animals is hampered by inaccuracies in spike inference from fluorescent tracers. Here we combine two-photon [Ca2+ ] imaging with cell-attached recordings, followed by post hoc determination of the expression level of GCaMP6f, to explore how it affects the Amplitude, kinetics and temporal summation of somatic [Ca2+ ] transients in mouse hippocampal pyramidal cells (PCs). The Amplitude of unitary [Ca2+ ] transients (evoked by a single action potential) negatively correlates with GCaMP6f expression, but displays large variability even among PCs with similarly low expression levels. The summation of fluorescence signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. We performed experimental data-based simulations and found that spike inference error rates using MLspike depend strongly on unitary Peak Amplitudes and GCaMP6f expression levels. We provide simple methods for estimating the unitary [Ca2+ ] transients in individual weakly GCaMP6f-expressing PCs, with which we achieve spike inference error rates of ∼5%.
