Speaker
Description
The claustrum, a structure having extensive connectivity with the rest of the brain and being involved in many high-cognitive processes, is still one of the least understood parts of the mammalian nervous system. One of the reasons is its complex location and geometry: a folded, thin layer of neurons, sandwiched between other cellular groups and white matter tracts, which creates specific challenges for experimentation. However, in recent years the claustrum has been studied intensely in mice, revealing many details about its cellular composition and dynamics, but still without a satisfactory mechanistic explanation of its function.
This work investigates through computational simulations the dynamics of the interaction between the claustrum and the cortex. To this end, we built a bottom-up, mesoscale in-silico model of the mouse claustrum that we reciprocally connected with a simplified model of the cortex. Specifically, we used NEST and NESTML to create AEIF neurons (Brette and Gerstner, 2005) for the claustrum and Wang-Buzsaki cortical neurons with difference-of-exponentials time-course synaptic conductances (Wang and Buzsaki, 1996; Palmigiano et al, 2017). From this work in progress we will present how we reached with NEST to the sets of parameters that replicate the responses of claustrum neurons in vitro, their arrangement in space and their measured connectivity (Kim et al, 2016; White and Mathur 2018; Graf et al, 2020). The replication of the Palmigiano et al. 2017 network allowed the production of a complex, cortical-like signal. Furthermore, we will present preliminary results of the interaction between the claustrum and the cortex.
Acknowledgements
ARC DECRA Fellowship DE190100157
JSPS Postdoctoral Fellowship PE20032
JSPS Postdoctoral Fellowship P23383
References
Brette R, Gerstner W. 2005. Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity. Journal of neurophysiology 94: 3637-42
Graf M, Nair A, Wong KLL, Tang Y, Augustine GJ. 2020. Identification of Mouse Claustral Neuron Types Based on Their Intrinsic Electrical Properties. eneuro 7: ENEURO.0216-20.2020
Kim J, Matney CJ, Roth RH, Brown SP. 2016. Synaptic Organization of the Neuronal Circuits of the Claustrum. The Journal of Neuroscience 36: 773
Palmigiano A, Geisel T, Wolf F, Battaglia D. 2017. Flexible information routing by transient synchrony. Nature neuroscience 20: 1014
Wang X-J, Buzsáki G. 1996. Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model. The Journal of Neuroscience 16: 6402-13
White MG, Mathur BN. 2018. Claustrum circuit components for top–down input processing and cortical broadcast. Brain Structure and Function 223: 3945-58
| Preferred form of presentation | Talk (& optional poster) |
|---|---|
| Topic area | Models and applications |
| Keywords | claustrum cortex AEIF Wang-Buzsaki NEST NESTML |
| Speaker time zone | UTC+9 |
| I agree to the copyright and license terms | Yes |
| I agree to the declaration of honor | Yes |
