Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
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Updated
Jan 9, 2025 - Python
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Physical units and unit-aware mathematical system for general-purpose brain dynamics modeling.
A differentiable approach to multi-scale brain modeling.
Inference-based time-resolved cortical stability and chaos analysis
Neurobridge integrates functional and anatomical neural connectivity to design dynamic models of the cerebral cortex. Using graph theory and machine learning, it models brain region interactions and validates these models with real biological data to explore brain connectivity.
Publicly available code for "Distributed network processes account for the majority of variance in localized visual category selectivity", Cocuzza et al., 2022.
Publicly available code for "A flexible hub connectivity mechanism for cognitive control". Manuscript in-preparation. Part of C. Cocuzza's dissertation (Aim 3).
Analysis of the Izhikevich neuron model
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