Physarum polycephalum: Smart Network Adaptation

M Le Verge-Serandour, K Alim - Annual Review of Condensed …, 2023 - annualreviews.org
Life evolved organisms to adapt dynamically to their environment and autonomously exhibit
behaviors. Although complex behaviors in organisms are typically associated with the …

Hemodynamic regulation allows stable growth of microvascular networks

Y Qi, SS Chang, Y Wang, C Chen… - Proceedings of the …, 2024 - National Acad Sciences
How do vessels find optimal radii? Capillaries are known to adapt their radii to maintain the
shear stress of blood flow at the vessel wall at a set point, yet models of adaptation purely …

Contrastive learning through non-equilibrium memory

M Falk, A Strupp, B Scellier, A Murugan - arxiv preprint arxiv:2312.17723, 2023 - arxiv.org
Learning algorithms based on backpropagation have enabled transformative technological
advances but alternatives based on local energy-based rules offer benefits in terms of …

Dynamic cost allocation allows network-forming forager to switch between search strategies

L Schick, M Kramar, K Alim - PRX Life, 2024 - APS
Network-forming organisms, like fungi and slime molds, dynamically reorganize their
networks during foraging. The resulting rerouting of resource flows within the organism's …

Vascular adaptation model from force balance: Physarum polycephalum as a case study

S Marbach, N Ziethen, K Alim - New Journal of Physics, 2023 - iopscience.iop.org
Understanding vascular adaptation, namely what drives veins to shrink or grow, is key for
the self-organization of flow networks and their optimization. From the top–down principle of …

Memory capacity of adaptive flow networks

K Bhattacharyya, D Zwicker, K Alim - Physical Review E, 2023 - APS
Biological flow networks adapt their network morphology to optimize flow while being
exposed to external stimuli from different spatial locations in their environment. These …

Flow-network adaptation and behavior in slime molds

A Dussutour, C Arson - Fungal Ecology, 2024 - Elsevier
The slime mold Physarum polycephalum is an amoebozoa that grows forming a cytoplasm
network that adapts its geometry to external stimuli. The cytoplasm is made of ectoplasm …

Novel image-analytic approach reveals new insights in fine-tuning of slime mould network adaptation

P Rosina, M Grube - Royal Society Open Science, 2024 - royalsocietypublishing.org
This study introduces a novel methodology to explore the network dynamics of Physarum
polycephalum, an organism celebrated for its remarkable adaptive capabilities. We used two …

Multistable Physical Neural Networks

E Ben-Haim, S Givli, Y Or, A Gat - arxiv preprint arxiv:2406.00082, 2024 - arxiv.org
Artificial neural networks (ANNs), which are inspired by the brain, are a central pillar in the
ongoing breakthrough in artificial intelligence. In recent years, researchers have examined …

Interplay between short and long time scales in adapting, periodically driven elastic flow networks

P Chatterjee, S Fancher, E Katifori - Physical Review Research, 2024 - APS
Existing theories of structural adaptation in biological flow networks are largely concerned
with steady flows. However, biological networks are composed of elastic vessels, and many …