Neurodynamics--an approach to theoretical neurophysiology

The gene for staphylococcal protein A.

Immunology today·2014

Single cell assay with an automated capillary microinjection system.

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Purification of B. megatherium Phage G and Evidence for a Muralytic Enzyme as an Integral Part of the Phage.

The Journal of general physiology·2009

The coxsackievirus and adenovirus receptor.

Current topics in microbiology and immunology·2008

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Zeitschrift fur Gerontologie und Geriatrie·2007

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Transplantation proceedings·2004

A quality measure for repeating multiple-unit spike patterns.

Biological cybernetics·2026

Feasible cognition requires latent state.

Biological cybernetics·2026

Golden Ratio and Cybernetic Aesthetics for Hidden Patterns in Repetitive Human Movements: Golden-faux-sinus as a Two-Dimensional Optimization Model.

Biological cybernetics·2026

Frequency-dependent coupling in response to oscillatory inputs in minimal networks of electrically coupled nodes: Gap junction networks and spatially extended neurons.

Biological cybernetics·2026

Quantifying spike train synchrony and directionality: Measures and Applications.

Biological cybernetics·2026

A three-component dynamical index of consciousness-related neural organisation.

Biological cybernetics·2026

Multi-level static and dynamic graph-theoretical analyses of resting-state functional networks in a Chinese cohort of preterm neonates.

iScience·2026

Food additive and naturally occurring glutamate and risk of cardiovascular diseases in the NutriNet-Santé prospective cohort.

The American journal of clinical nutrition·2026

DGIST: A standardized image-based spatial quantification workflow for neurogenesis in the dentate gyrus.

Advances in biological regulation·2026

Association of metabotropic glutamate receptor 7 gene with nicotine dependence in a Chinese Han population: A cross-sectional candidate-gene association study.

Tobacco induced diseases·2026

Spontaneous activation of cortical somatosensory networks depresses their excitability in preterm human neonates.

Imaging neuroscience (Cambridge, Mass.)·2026

Machine learning methods evaluation for identification of cognitive phenotypes in multiple sclerosis and their MRI correlates.

Frontiers in neuroscience·2026

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