Avishek Das
@pleplostelous.bsky.social
Postdoc @_amolf after a @UCBerkeley Chem PhD.
Nonequilibrium self-organization • Living matter • Intelligence in materials
Nonequilibrium self-organization • Living matter • Intelligence in materials
Reposted by Avishek Das
A new computational algorithm enables precise measurement of information flow in complex networks, offering improved accuracy and efficiency across fields such as neuroscience and artificial intelligence. doi.org/g967gf
Algorithm precisely quantifies flow of information in complex networks
Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically share information with each other.
phys.org
October 17, 2025 at 2:40 PM
A new computational algorithm enables precise measurement of information flow in complex networks, offering improved accuracy and efficiency across fields such as neuroscience and artificial intelligence. doi.org/g967gf
Delighted to see my work at AMOLF published as Editors' Suggestion in PRL @physrevlett.bsky.social. We have developed the first exact algorithm to compute the directional transfer of information (called the transfer entropy) in any general stochastic model. doi.org/10.1103/t8z9...
September 5, 2025 at 7:33 PM
Delighted to see my work at AMOLF published as Editors' Suggestion in PRL @physrevlett.bsky.social. We have developed the first exact algorithm to compute the directional transfer of information (called the transfer entropy) in any general stochastic model. doi.org/10.1103/t8z9...