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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Yiyin Zhou

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3 papers indexed here

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Review Open access Sep 2026

Beyond static perception: Animals, neurons and synapses move to compute efficiently.

Neurons are often modelled as immobile systems that transmit information through chemical and electrical signals constrained by noise and bandwidth. However, this static view contrasts with biological reality, in which dynamical processes operate across scales, from whole-animal movements to motion at the subcellular l...

Mikko Juusola, J. Takalo, Joni Kemppainen et al. · 1 citation
Review Aug 2026

The Connectome and the Quest for the Functional Logic of the Drosophila Early Olfactory System

In recent decades, the early olfactory system (EOS) of the fruit fly has become a leading model for studying olfactory processing and associative memory, owing in part to a well-characterized feedforward pathway that feeds the processes underlying associative memory and by examining the role played by a handful of neur...

A. Lazar, Yi-Yin Zhou · 0 citations
Oct 2026

NeuroGraphBench: Interacting with Drosophila Connectomes at Scale for Exploring the Functional Logic of Neural Circuits

A Python toolset with an agentic, code-free workspace interface called NeuroGraphBench (NGB), which automates tedious and repetitive tasks to enable faster and scalable connectomic exploration, keeping human reasoning at the center of an open-ended research inquiry.

A. Lazar, Shashwat Shukla, Yi-Yin Zhou · 0 citations

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