Abstract
The inference of neuronal connectome from large-scale neuronal activity recordings, such as two-photon Calcium imaging, represents an active area of research in computational neuroscience. In this work, we developed FARCI (Fast and Robust Connectome Inference), a MATLAB package for neuronal connectome inference from high-dimensional two-photon Calcium fluorescence data. We employed partial correlations as a measure of the functional association strength between pairs of neurons to reconstruct a neuronal connectome. We demonstrated using in silico datasets from the Neural Connectomics Challenge (NCC) and those generated using the state-of-the-art simulator of Neural Anatomy and Optimal Microscopy (NAOMi) that FARCI provides an accurate connectome and its performance is robust to network sizes, missing neurons, and noise levels. Moreover, FARCI is computationally efficient and highly scalable to large networks. In comparison with the best performing connectome inference algorithm in the NCC, Generalized Transfer Entropy (GTE), and Fluorescence Single Neuron and Network Analysis Package (FluoroSNNAP), FARCI produces more accurate networks over different network sizes, while providing significantly better computational speed and scaling.
Highlights
The human brain comprises about 100 billion neurons that are communicating with one another via more than a quadrillion synaptic connections
In FARCI, the functional neuronal connectome is represented by the partial correlation network among the neurons
We developed FARCI, an efficacious and robust method for7inferring of 16 functional neuronal connectome from Ca2+ fluorescence data
Summary
The human brain comprises about 100 billion neurons that are communicating with one another via more than a quadrillion synaptic connections. The reconstruction of the brain’s functional connectivity has received much attention for elucidating the operating principles of the brain and its myriad functions, as well as their dysfunctions in neurological diseases. Imaging modalities [2,3,4] For this reason, functional connectomes are typically reconstructed from neuronal activity recording data. Technological advances in neuroscience have enabled the recording of neuronal activity signals in awake animals [5], accelerating efforts toward functional connectome inference [6]. Two-photon (2p) Calcium imaging provides in vivo optical measurements of neuronal firing [7], with recent technology capable of simultaneous recording of ~10,000 neurons [8,9]. The technique relies on fluorometric Ca2+ indicators, either using chemical dyes or genetically encoded Ca2+
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
