A sensorimotor-spinal cord model (Hoshino et al. 2022)

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Accession:267395
To elucidate how the flattening of sensory tuning due to a deficit in tonic inhibition slows motor responses, we simulated a neural network model in which a sensory cortical network (NS) and a motor cortical network (NM) are reciprocally connected, and the NM projects to spinal motoneurons (Mns). The NS was presented with a feature stimulus and the reaction time of Mns was measured. The flattening of sensory tuning in NS caused by decreasing the centration of GABA in extracellular space resulted in a decrease in the stimulus-sensitive NM pyramidal cell activity while increasing the stimulus-insensitive NM pyramidal cell activity, thereby prolonging the reaction time of Mns to the applied feature stimulus. We suggest that a reduction in extracellular GABA concentration in sensory cortex may interfere with selective activation in motor cortex, leading to slowing the activation of spinal motoneurons and therefore to slowing motor responses.
Reference:
1 . Hoshino O, Zheng M, Fukuoka Y (2022) Effect of cortical extracellular GABA on motor response J Comput Neurosci [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Spiking neural network;
Brain Region(s)/Organism: Neocortex; Spinal motoneuron;
Cell Type(s): Abstract integrate-and-fire leaky neuron;
Channel(s):
Gap Junctions:
Receptor(s): AMPA; GabaA;
Gene(s):
Transmitter(s): Glutamate; Gaba;
Simulation Environment: C or C++ program;
Model Concept(s): Action Potentials;
Implementer(s):
Search NeuronDB for information about:  GabaA; AMPA; Gaba; Glutamate;
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MotAc7MDB2
readme.txt
MotAct7MDB2.c
                            
This is the readme for the model file associated with the paper:
Hoshino O, Zheng M, Fukuoka Y. (2022). Effect of cortical extracellular GABA on motor response. J Comput Neurosci [PubMed]

This c-program was contributed by O Hoshino. It was originally built using Microsoft Visual C++ and also might work in Microsoft Visual Studio 2012 (create a new project, add the c file to it, and build and run).

More usage instructions:

1. Set input current to the sensory network by giving a proper value to "int_inp0_3". "onset_0" and "period_0" define its onset time and duration.
2. Set times for output data by giving values "OUT" (starting time) and "PERIOD" (recording time period).
3. Run. The default (as provided) setting of the model is for Figure 3A (left).
4. Output data files (vPY*_*2.dat, vPY*_*1.dat, vm*_*2.dat,) provide the rasters of N_S (top panel) and N_M (middle panel) P cells and spinal motoneurons (Mn) (bottom panel). In these data files, value -10 was assigned to no spike emission and should be discarded when plotting (Igor Pro used by us). GABA_V2 gives the basal ambient GABA concentration in N_S: [GABA]_0^S.

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