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Safiulina, V. F.

Publications and source records attributed to Safiulina, V. F..

2 recordsLinked to original sources

Modeling IK1 current modulation by melatonin and luzindole: a benchmark for patch clamp studies

Whole-cell patch-clamp studies often fail to observe the expected effect of melatonin on the IK1 current in cardiomyocytes, which may be due to cytoplasmic dialysis and the loss of key components of the intracellular signaling system. The aim of this study was to develop a simple theoretical model to estimate the expected effect on the IK1 inward-rectifying potassium current in an experiment with intact melatonin signaling. The modeling was performed using a well-established model of rat cardiomyocyte electrophysiology (Pandit et al., 2001). The maximum conductance of IK1 (gK1) channels was chosen as the target for modulation, consistent with the established mechanism of direct receptor-mediated increase in potassium conductance under the action of melatonin.Realistic modulation values were used for the modeling. The -50% value for the antagonist effect of 1 M luzindole was obtained by direct calculation from our experimental data. The +20% value for the agonist effect (melatonin) was determined by generalizing literature data and reflects the typical expected strength of signaling pathway modulation, rather than being strictly tied to a specific concentration.It was shown that modulation of gK1 in the specified ranges leads to significant changes in IK1 amplitude in the physiologically important range of resting potentials. The developed model serves as a "computational benchmark" for validating experimental protocols, allowing one to distinguish methodological artifacts from a true lack of effect.

biophysics↗

The Role of Synchronization of Neural Modules in Pattern Processing inthe Visual System

Key operations in modeling visual processing in living systems are those that process a pattern as a holistic object, for example, in pattern recognition to ensure invariance to translation and rotation. In this article, we describe a neural module we synthesized for moving a pattern along a cortical layer without losing its shape. The module has the form of a three-layer neural network with two types of inhibitory neurons, one of which is a universal "prohibition" logic element. Modeling showed that such operations can be implemented using the proposed neural module by additionally synchronizing its operation using endogenous pacemakers with a gamma rhythm frequency. The mechanism of such synchronization is similar to the clock sweep mechanism in electronics. We believe we have clearly demonstrated the possible role of gamma-based brain activity as a mechanism for synchronizing computations in living neural networks for the first time. This opens up new possibilities for constructing neuromorphic architectures for real-time visual recognition.

neuroscience↗