Connectome-constrained networks predict neural activity across the fly visual system

JK Lappalainen, FD Tschopp, S Prakhya, M McGill… - Nature, 2024 - nature.com
We can now measure the connectivity of every neuron in a neural circuit,,,,,,,–, but we cannot
measure other biological details, including the dynamical characteristics of each neuron …

Bridging the gap between the connectome and whole-brain activity in C. elegans

MS Creamer, AM Leifer, JW Pillow - bioRxiv, 2024 - biorxiv.org
A fundamental goal of neuroscience is to understand how anatomy determines the
functional properties of the nervous system. However, it has been challenging to relate large …

[PDF][PDF] Connectome-constrained latent variable model of whole-brain neural activity

L Mi, R Xu, S Prakhya, A Lin, N Shavit… - International …, 2021 - drive.google.com
The availability of both anatomical connectivity and brain-wide neural activity measurements
in C. elegans make the worm a promising system for learning detailed, mechanistic models …

Machine learning for functional connectomics in Caenorhabditis elegans

A Warrington - 2021 - ora.ox.ac.uk
Santiago Ram ny Cajal first traced the microscopic intricacies of individual neurons in the
late 19th century. His work revolutionised neuroscience, and earned him the moniker “the …

[PDF][PDF] CHARACTERIZATION OF MEMORY, FORGETTING AND SYNAPTIC POLARITIES IN THE CAENORHABDITIS ELEGANS NERVOUS SYSTEM

BG Fenyves - 2021 - repo.lib.semmelweis.hu
There has always been an interest in the human mind ever since early history. In ancient
Egypt cognition was attributed to the heart, so the brain was removed during the preparation …

[PDF][PDF] Inferring Synaptic Weight Dynamics with a Circuit Simulator

R Fayyazi - 2020 - rfayyazi.github.io
The modification of synaptic weights is thought to be a fundamental mechanism underlying
learning. Therefore, a primary objective of neuroscience is to discover the algorithms which …