Computational synthesis of cortical dendritic morphologies | bioRxiv

Computational synthesis of cortical dendritic morphologies | bioRxiv

Neuronal morphologies provide the foundation for the electrical behavior of neurons, the connectomes they form, and the dynamical properties of the brain. Comprehensive neuron models are essential for defining cell types, discerning their functional roles and investigating structural alterations associated with diseased brain states. Recently, we introduced a topological descriptor that reliably categorizes dendritic morphologies. We apply this descriptor to digitally synthesize dendrites to address the challenge of insufficient biological reconstructions. The synthesized cortical dendrites are statistically indistinguishable from the corresponding reconstructed dendrites in terms of morpho-electrical properties and connectivity. This topology-guided synthesis enables the rapid digital reconstruction of entire brain regions from relatively few reference cells, thereby allowing the investigation of links between neuronal morphologies and brain function across different spatio-temporal s

3 mentions: @ukleghoul
Date: 2020/04/18 02:21

Related Entries

Read more Presynaptic inhibition rapidly stabilises recurrent excitation in the face of plasticity | bioRxiv
0 users, 2 mentions 2020/02/14 08:21
Read more Presynaptic inhibition rapidly stabilises recurrent excitation in the face of plasticity | bioRxiv
0 users, 2 mentions 2020/02/16 00:52
Read more Efficient codes for memory determine pitch representations | bioRxiv
0 users, 4 mentions 2020/05/13 17:20
Read more Synaptic dynamics as convolutional units | bioRxiv
0 users, 2 mentions 2020/06/06 21:51
Read more Tractography-Pathology Correlations in Traumatic Brain Injury: A TRACK-TBI Study | bioRxiv
0 users, 4 mentions 2020/07/22 20:21