Arvind Murugan
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View article: Information processing driven by multicomponent surface condensates
Information processing driven by multicomponent surface condensates Open
Living organisms rely on molecular networks, such as gene circuits and signaling pathways, for information processing and robust decision-making in crowded, noisy environments. Recent advances show that interacting biomolecules self-organi…
View article: Optimal sensing through phase separation.
Optimal sensing through phase separation. Open
Biomolecular condensates form on timescales of seconds in cells upon environmental or compositional changes. Condensate formation is thus argued to act as a mechanism for sensing such changes and quickly initiating downstream processes, su…
View article: Simple biological controllers drive the evolution of soft modes.
Simple biological controllers drive the evolution of soft modes. Open
Biological systems, with many interacting components, face high-dimensional environmental fluctuations, ranging from diverse nutrient deprivations to toxins, drugs, and physical stresses. Yet, many biological control mechanisms are 'simple…
View article: Ecosystems as adaptive living circuits
Ecosystems as adaptive living circuits Open
Unlike many physical nonequilibrium systems, in biological systems, the coupling to external energy sources is not a fixed parameter but adaptively controlled by the system itself. We do not have theoretical frameworks that allow for such …
View article: Ecosystems as adaptive living circuits
Ecosystems as adaptive living circuits Open
Unlike many physical nonequilibrium systems, in biological systems, the coupling to external energy sources is not a fixed parameter but adaptively controlled by the system itself. We do not have theoretical frameworks that allow for such …
View article: Dynamic coexistence driven by physiological transitions in microbial communities
Dynamic coexistence driven by physiological transitions in microbial communities Open
Microbial ecosystems are commonly modeled by fixed interactions between species in steady exponential growth states. However, microbes in exponential growth often modify their environments so strongly that they are forced out of the growth…
View article: Temporal Contrastive Learning through implicit non-equilibrium memory
Temporal Contrastive Learning through implicit non-equilibrium memory Open
The backpropagation method has enabled transformative uses of neural networks. Alternatively, for energy-based models, local learning methods involving only nearby neurons offer benefits in terms of decentralized training, and allow for th…
View article: Soft Modes as a Predictive Framework for Low-Dimensional Biological Systems Across Scales
Soft Modes as a Predictive Framework for Low-Dimensional Biological Systems Across Scales Open
All biological systems are subject to perturbations arising from thermal fluctuations, external environments, or mutations. Yet, while biological systems consist of thousands of interacting components, recent high-throughput experiments ha…
View article: Trust as a Pillar of Societal and Economic Systems: Insights from Empirical Studies
Trust as a Pillar of Societal and Economic Systems: Insights from Empirical Studies Open
Trust is a fundamental pillar in societal, economic, and organizational systems, serving as the foundation for effective relationships, institutional credibility, and systemic resilience. This paper synthesizes insights from 50 empirical s…
View article: Early Detection of Parkinson’s Disease Using Novel Deep Learning Frameworks Optimized with Advanced Techniques and Machine Learning Models Evaluated through Performance Metrics
Early Detection of Parkinson’s Disease Using Novel Deep Learning Frameworks Optimized with Advanced Techniques and Machine Learning Models Evaluated through Performance Metrics Open
Parkinson’s disease (PD) is a progressive neurodegenerative condition that frequently remains undiagnosed in its early stages due to subtle and overlapping symptoms. This study presents an innovative approach that integrates advanced deep …
View article: A Study on Enhancing Crop Yield Prediction with Accuracy through Machine and Deep Learning Models
A Study on Enhancing Crop Yield Prediction with Accuracy through Machine and Deep Learning Models Open
Accurate crop yield prediction is essential for optimizing agricultural resource allocation and supporting farmers in making informed crop management decisions. This study investigates the effectiveness of various machine learning and deep…
View article: Direct and indirect selection in a proofreading polymerase
Direct and indirect selection in a proofreading polymerase Open
The traits that affect evolvability are subject to indirect selection, as these traits affect the course of evolution over many generations rather than the direct replicative fitness of an individual. However, the evolution of evolvability…
View article: eLife Assessment: AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks
eLife Assessment: AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks Open
Many applications in biomedicine and synthetic bioengineering depend on the ability to understand, map, predict, and control the complex, context-sensitive behavior of chemical and genetic networks. The emerging field of diverse intelligen…
View article: Curiosity-driven search for novel nonequilibrium behaviors
Curiosity-driven search for novel nonequilibrium behaviors Open
Exploring the full spectrum of novel behaviors that a system can produce can be an intensive task. Sampling techniques developed in response to this exploration challenge often require a predefined metric, such as distance in a space of kn…
View article: Learning dynamical behaviors in physical systems
Learning dynamical behaviors in physical systems Open
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-as…
View article: eLife Assessment: AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks
eLife Assessment: AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks Open
Many applications in biomedicine and synthetic bioengineering depend on the ability to understand, map, predict, and control the complex, context-sensitive behavior of chemical and genetic networks. The emerging field of diverse intelligen…
View article: A minimal scenario for the origin of non-equilibrium order
A minimal scenario for the origin of non-equilibrium order Open
Life uses non-equilibrium mechanisms to create ordered structures not attainable at equilibrium; the resulting order is assumed to provide functional benefits that outweigh costs of time and energy needed by these mechanisms. Here, we show…
View article: Training physical matter to matter
Training physical matter to matter Open
Biological systems offer a great many examples of how sophisticated, highly adapted behavior can emerge from training. Here we discuss how training might be used to impart similarly adaptive properties in physical matter. As a special form…
View article: eLife Assessment: Emergence of catalytic function in prebiotic information-coding polymers
eLife Assessment: Emergence of catalytic function in prebiotic information-coding polymers Open
Life as we know it relies on the interplay between catalytic activity and information processing carried out by biological polymers. Here we present a plausible pathway by which a pool of prebiotic information-coding oligomers could acquir…
View article: eLife Assessment: AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks
eLife Assessment: AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks Open
Many applications in biomedicine and synthetic bioengineering depend on the ability to understand, map, predict, and control the complex, context-sensitive behavior of chemical and genetic networks. The emerging field of diverse intelligen…