Neuroscience for machine learners
A freely available short course on neuroscience for people with a machine learning background. Designed by Dan Goodman and Marcus Ghosh.
Week 3 reading
Connectome
- White et al. (1986) “The structure of the nervous system of the nematode Caenorhabditis elegans”
- Cook et al. (2019) “Whole-animal connectomes of both Caenorhabditis elegans sexes”
- Witvliet et al. (2021) “Connectomes across development reveal principles of brain maturation”
- Winding et al. (2023) “The connectome of an insect brain”
- Abbott et al. (2020) “The mind of a mouse”
Humans
- Liu et al. (2023) “Interactions of glial cells with neuronal synapses, from astrocytes to microglia and oligodendrocyte lineage cells”
- von Bartheld et al. (2016) “The search for true numbers of neurons and glial cells in the human brain: A review of 150 years of cell counting”
- Cohen et al., (2000) “The visual word form area: Spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients”
- Béna & Goodman (2023) “Dynamics of specialization in neural modules under resource constraints”