Zobrazeno 1 - 10
of 978
pro vyhledávání: '"Suriyanarayanan, A."'
Active nematics, formed from a liquid crystalline suspension of active force dipoles, are a paradigmatic active matter system whose study provides insights into how chemical driving produces the cellular mechanical forces essential for life. Recent a
Externí odkaz:
http://arxiv.org/abs/2411.09588
Autor:
Lamtyugina, Alexandra, Behera, Agnish Kumar, Nandy, Aditya, Floyd, Carlos, Vaikuntanathan, Suriyanarayanan
Diffusion models exhibit robust generative properties by approximating the underlying distribution of a dataset and synthesizing data by sampling from the approximated distribution. In this work, we explore how the generative performance may be be mo
Externí odkaz:
http://arxiv.org/abs/2411.07233
Autor:
Behera, Agnish Kumar, Du, Matthew, Jagadisan, Uday, Sastry, Srikanth, Rao, Madan, Vaikuntanathan, Suriyanarayanan
The classic paradigms for learning and memory recall focus on strengths of synaptic couplings and how these can be modulated to encode memories. In a previous paper [A. K. Behera, M. Rao, S. Sastry, and S. Vaikuntanathan, Physical Review X 13, 041043
Externí odkaz:
http://arxiv.org/abs/2410.06269
Many biological decision-making processes can be viewed as performing a classification task over a set of inputs, using various chemical and physical processes as "biological hardware." In this context, it is important to understand the inherent limi
Externí odkaz:
http://arxiv.org/abs/2409.05827
Autor:
Mandal, Rituparno, Huang, Rosalind, Fruchart, Michel, Moerman, Pepijn G., Vaikuntanathan, Suriyanarayanan, Murugan, Arvind, Vitelli, Vincenzo
Physical learning is an emerging paradigm in science and engineering whereby (meta)materials acquire desired macroscopic behaviors by exposure to examples. So far, it has been applied to static properties such as elastic moduli and self-assembled str
Externí odkaz:
http://arxiv.org/abs/2406.07856
Standard approaches to controlling dynamical systems involve biologically implausible steps such as backpropagation of errors or intermediate model-based system representations. Recent advances in machine learning have shown that "imperfect" feedback
Externí odkaz:
http://arxiv.org/abs/2404.03798
Active matter with nonreciprocal interactions is known for its distinctive dynamics. To shed light on the stationary properties of such systems, we consider paradigmatic systems of nonreciprocally coupled active Ornstein-Uhlenbeck particles. For each
Externí odkaz:
http://arxiv.org/abs/2401.14690
Autor:
Qiu, Yuqing, White, Elizabeth D., Munro, Edwin M., Vaikuntanathan, Suriyanarayanan, Dinner, Aaron R.
Cell polarization relies on long-range cortical flows, which are driven by active stresses and resisted by the cytoskeletal network. While the general mechanisms that contribute to cortical flows are known, a quantitative understanding of the factors
Externí odkaz:
http://arxiv.org/abs/2310.10819
Traditionally, physical models of associative memory assume conditions of equilibrium. Here, we consider a prototypical oscillator model of associative memory and study how active noise sources that drive the system out of equilibrium, as well as non
Externí odkaz:
http://arxiv.org/abs/2307.13123
A significant cause of air pollution in urban areas worldwide is the high volume of road traffic. Long-term exposure to severe pollution can cause serious health issues. One approach towards tackling this problem is to design a pollution-aware traffi
Externí odkaz:
http://arxiv.org/abs/2302.14442