Yevhen Tupikov

Addition of new neurons and the emergence of a local neural circuit for precise timing

Yevhen Tupikov, Dezhe Z. Jin

During development, neurons arrive at local brain areas in an extended period of time, but how they form local neural circuits is unknown. Here we computationally model the emergence of a network for precise timing in the premotor nucleus HVC in songbird. …

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Local Axonal Conduction Shapes the Spatiotemporal Properties of Neural Sequences

Robert Egger, Yevhen Tupikov, Margot Elmaleh, Kalman A. Katlowitz et autres

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Addition of new neurons and the emergence of a local neural circuit for precise timing

Yevhen Tupikov, Dezhe Z. Jin

Abstract During development, neurons arrive at local brain areas in extended period of time, but how they form local neural circuits is unknown. Here we computationally model the emergence of a network for precise timing in the premotor nucleus HVC in songbird. …

us (code pays fourni par la source)

Exploring the Memory Capacity of Embedded Synfire Chains

Sarah Greberman, Yevhen Tupikov, Dezhe Z. Jin

Density of states measurements for the heavy subband of holes in HgTe quantum wells

A. Yu. Kuntsevich, Grigori M. Minkov, A. A. Sherstobitov, Yevhen Tupikov et autres

A valence band in narrow HgTe quantum wells contains well-conductive Dirac-like light holes at the $\mathrm{\ensuremath{\Gamma}}$ point and a poorly conductive heavy hole subband located in the local valleys. Here we propose and employ two methods to measure the density of states …

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Local axonal conduction delays underlie precise timing of a neural sequence

Robert Egger, Yevhen Tupikov, Kalman A. Katlowitz, Sam E. Benezra et autres

SUMMARY Sequential activation of neurons has been observed during various behavioral and cognitive processes and is thought to play a critical role in their generation. Here, we studied a circuit in the songbird forebrain that drives the performance of adult courtship song. …

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Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks [R package HDclust version 1.0.3]

Yevhen Tupikov, Lin Lin, Lixiang Zhang, Jia Li

HDclust: Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks

Yevhen Tupikov, Lin Lin, Lixiang Zhang, Jia Li

Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) <https://jmlr.org/papers/v18/16-342.html>.

Effective Landau Level Diagram of Bilayer Graphene

Jing Li, Yevhen Tupikov, Kenji Watanabe, Takashi Taniguchi et autres

The E=0 octet of bilayer graphene in the filling factor range of -4<ν<4 is a fertile playground for many-body phenomena, yet a Landau level diagram is missing due to strong interactions and competing quantum degrees of freedom. We combine measurements and modeling …

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Strongly correlated two-dimensional plasma explored from entropy measurements

A. Yu. Kuntsevich, Yevhen Tupikov, V. M. Pudalov, I. S. Burmistrov

Charged plasma and Fermi liquid are two distinct states of electronic matter intrinsic to dilute two-dimensional electron systems at elevated and low temperatures, respectively. Probing their thermodynamics represents challenge because of lack of an adequate technique. Here, we report a thermodynamic method …

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