Anna S. Bulanova

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Neuronal persistent activity has been primarily assessed in terms of electrical mechanisms, without attention to the complex array of molecular events that also control cell excitability. We developed a multiscale neocortical model proceeding from the molecular to the network level to assess the contributions of calcium (Ca(2+)) regulation of(More)
OBJECTIVE Like all scientific research, computational neuroscience research must be reproducible. Big data science, including simulation research, cannot depend exclusively on journal articles as the method to provide the sharing and transparency required for reproducibility. METHODS Ensuring model reproducibility requires the use of multiple standard(More)
We aim at efficiently implementing and solving linear dynamical systems using neuromorphic hardware. For this task we used Deneve’s balanced spiking network framework [1]. In this framework, recurrent spiking network of Leaky Integrate-and-Fire (LIF) neurons can track solution of a linear dynamical system by minimizing prediction error; weighted leaky(More)
The NEURON simulator software is widely used by the computational neuroscience community for neuronal electrophysiology modeling and we have recently extended it to support reaction-diffusion dynamics [1]. This class of dynamics is ideal for studying intracellular dynamics, such as calcium-induced calcium release. NEURON’s original reaction-diffusion(More)
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