Multiscale dynamics and information flow in a data-driven model of the primary motor cortex microcircuit
Dura-Bernal, S.; Neymotin, S. A.; Suter, B. A.; Shepherd, G. M.; Lytton, W. W.
Show abstract
We developed a biophysically detailed multiscale model of mouse primary motor cortex (M1) with over 10,000 neurons and 35 million synapses. We focused on intratelencephalic (IT) and pyramidal-tract (PT) neurons of layer 5 (L5), which were modeled at high multicompartment resolution. Wiring densities were based on prior detailed measures from mouse slice, and depended on cell class and cortical depth at sublaminar resolution. Prominent phase-amplitude-coupled delta and gamma activity emerged from the network. Spectral Granger causality analysis revealed the dynamics of information flow through populations at different frequencies. Stimulation of motor vs sensory long-range inputs to M1 demonstrated distinct intra- and inter-laminar dynamics and PT output. Manipulating PT Ih altered PT activity, supporting the hypothesis that Ih neuromodulation is involved in translating motor planning into execution. Our model sheds light on the multiscale dynamics of cell-type-specific M1 circuits and how connectivity relates to dynamics.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Introducing the Dendrify framework for incorporating dendrites to spiking neural networks 96%
- Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information 96%
- Theory of spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity 96%
Similar papers in this journal
- Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types 96%
- Behavioral state and stimulus strength regulate the role of somatostatin interneurons in stabilizing network activity 94%
- Computational functions of precisely balanced neuronal assemblies in an olfactory memory network 94%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Deriving connectivity from spiking activity in detailed models of large-scale cortical microcircuits 97%
- Information integration during bioelectric regulation of morphogenesis in the embryonic frog brain 96%
- Heterogeneous and higher-order cortical connectivity undergirds efficient, robust and reliable neural codes 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.