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In retina and in cortical slice the collective response of spiking neural populations is well described by "maximum-entropy" models in which only pairs of neurons interact. We asked, how should such interactions be organized to maximize the amount of information represented in population responses? To this end, we extended the linear-nonlinear-Poisson model of single neural response to include pairwise interactions, yielding a stimulus-dependent, pairwise maximum-entropy model. We found that as we varied the noise level in single neurons and the distribution of network inputs, the optimal pairwise interactions smoothly interpolated to achieve network functions that are usually regarded as discrete--stimulus decorrelation, error correction, and independent encoding. These functions reflected a trade-off between efficient consumption of finite neural bandwidth and the use of redundancy to mitigate noise. Spontaneous activity in the optimal network reflected stimulus-induced activity patterns, and single-neuron response variability overestimated network noise. Our analysis suggests that rather than having a single coding principle hardwired in their architecture, networks in the brain should adapt their function to changing noise and stimulus correlations.
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http://dx.doi.org/10.1073/pnas.1004906107 | DOI Listing |
Eur J Med Res
March 2025
Center of Infectious Diseases, West China Hospital of Sichuan University, No.37 GuoXue Xiang, Wuhou District, Chengdu, 610041, China.
Background: The double plasma molecular adsorption system (DPMAS) is a crucial therapeutic modality for the management of severe liver disease. Current literature reports considerable variability in the volume of processed plasma (VPP) utilized during DPMAS treatment, and there is currently no consensus on the appropriate VPP. We aimed to investigate the relationship between VPP and changes in total bilirubin levels during DPMAS treatment.
View Article and Find Full Text PDFHum Brain Mapp
March 2025
Department of Radiology, University of Calgary, Calgary, Alberta, Canada.
The human brain is organized into several segregated associative and sensory functional networks, each responsible for various aspects of cognitive and sensory processing. These functional networks become less segregated over the adult lifespan, possibly contributing to cognitive decline that is observed during advanced age. To date, a comprehensive understanding of decreasing network segregation with age has been hampered by (1) small sample sizes, (2) lack of investigation at different spatial scales, (3) the limited age range of participants, and more importantly (4) an inadequate consideration of sex (biological females and males) differences.
View Article and Find Full Text PDFCommun Biol
March 2025
University of Warsaw, Centre of New Technologies, Laboratory of Functional and Structural Genomics, Warsaw, Poland.
Chromosome Conformation Capture (3 C) methods, including Hi-C (a high-throughput variation of 3 C), detect pairwise interactions between DNA regions, enabling the reconstruction of chromatin architecture in the nucleus. HiChIP is a modification of the Hi-C experiment that includes a chromatin immunoprecipitation (ChIP) step, allowing genome-wide identification of chromatin contacts mediated by a protein of interest. In mammalian cells, cohesin protein complex is one of the major players in the establishment of chromatin loops.
View Article and Find Full Text PDFInt J Infect Dis
March 2025
Department of Statistics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, USA.
Background: Understanding virus-virus interactions is important for evaluating disease transmission and severity. Positive interactions suggest concurrent circulation, while negative interactions indicate reduced transmission of one virus when another is prevalent. This study examines interactions among seven respiratory viruses using a Bayesian approach that accounts for seasonality and long-term trends.
View Article and Find Full Text PDFEval Program Plann
March 2025
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan. Electronic address:
Smart Villages are an innovative solution for tackling global sustainability per the sustainable development goals set by the United Nations. This particular study looks into the implementation of a similar Smart Village concept in developing countries such as Pakistan. The main focus is to identify and classify a set of barriers that are to be considered while constructing a smart village.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!