13 papers · ranked by Valyu relevance
Kavana Priyadarshini Keshava, Dieter W. Heermann, Arnab Bhattacherjee
Hi-C and related 3C technologies capture 3D genome architecture by measuring contact frequencies between genomic loci. These contact maps are often sparse and noisy, making comparison across samples challenging. Traditional metrics such as Pearson’s correlation fail to capture their structural complexity. To address…
Carlo Nicolini, Giulia Forcellini, Ludovico Minati, Angelo Bifone
Functional connectivity is derived from inter-regional correlations in spontaneous fluctuations of brain activity, and can be represented in terms of complete graphs with continuous (real-valued) edges. The structure of functional connectivity networks is strongly affected by signal processing procedures to remove the…
Elizabeth A Stoll
Neuronal populations in the cerebral cortex engage in probabilistic coding, effectively encoding the state of the surrounding environment with high accuracy and extraordinary energy efficiency. A new approach models the inherently probabilistic nature of cortical neuron signaling outcomes as a thermodynamic process of…
Elizabeth A Stoll
In cortical neurons, spontaneous membrane potential fluctuations affect the likelihood of firing an action potential. Yet despite retaining sensitivity to random electrical noise in gating signaling outcomes, these cells achieve highly accurate computations with extraordinary energy efficiency. A new approach models…
Sijia Liu, Pin-Yu Chen, Alfred Hero, Indika Rajapakse
For many biological systems, it is essential to capture simultaneously the function, structure, and dynamics in order to form a comprehensive understanding of underlying phenomena. The dynamical interaction between 3D genome spatial structure and transcriptional activity creates a genomic signature that we refer to as…
Robert A. Gatenby
Living systems use genomic information to maintain a stable highly ordered state far from thermodynamic equilibrium but the specific mechanisms and general principles governing the interface of genetics and thermodynamics has not been extensively investigated. Genetic information is quantified in unitless bits termed…
Amitava Roy, Vishwesh Venkatraman, Tibra Ali
Inspired by black hole thermodynamics, the area law that entropy is proportional to horizon area has been proposed in quantum entanglement entropy and has largely maintained its validity. This article shows that the area law is also valid for the thermodynamic entropy of molecules. We showed that the gas-phase entropy…
Mickael Zbili, Sylvain Rama
Calculations of entropy of a signal or mutual information between two variables are valuable analytical tools in the field of neuroscience. They can be applied to all types of data, capture nonlinear interactions and are model independent. Yet the limited size and number of recordings one can collect in a series of…
Taufik A Valiante
Neuronal size has often been used to explain the “superiority” of the human brain. By deriving the Shannon entropy of different statistical distributions, we show that the entropy of different distributions is solely accounted for by the variance of the distribution. We use total dendritic length of neurons from…
Sterling Street
This article reviews thermodynamic relationships in the brain in an attempt to consolidate current research in systems neuroscience. The present synthesis supports proposals that thermodynamic information in the brain can be quantified to an appreciable degree of objectivity, that many qualitative properties of…
Ahmed Elewa
A time dilation factor is derived from information entropy via the holographic principle. By imagining the embryonic cell as a hologram, time dilation during embryogenesis is predicted from the entropy of active genetic information and shown to be consistent with observed lengths of cell duration. The connection…
Sarita S. Deshpande, Wim van Drongelen
The human brain comprises an intricate web of connections that generate complex neural networks capable of storing and processing information. This information depends on multiple factors, including underlying network structure, connectivity, and interactions; and thus, methods to characterize neural networks typically…
Da Chang, Xiu Wang, Yaojing Chen, Zhuo Han + 3 more
Entropy trajectories remain unclear for the aging process of human brain system due to the lacking of longitudinal neuroimaging resource. We used open data from an accelerated longitudinal cohort (PREVENT-AD) that included 24 healthy aging participants followed by 4 years with 5 visits per participant to establish…