Excitatory and inhibitory neurons in (barrel) cortex process information very differently. This is both a result of differences in their intrinsic biophysical properties, and of differences in their position in the network (i.e. the network connectivity). To investigate the differences in intrinsic properties and how they are influenced by dopamine, serotonin, acetylcholine and norepinephrine, Niccolò Calcini, Ate Bijlsma and Xuan Yan used our new method for measuring information transfer in in-vitro experiments. They use the results for the development of both single-neurons and network models, to unravel the roles of inhibitory and excitatory neurons in cortical networks. Eva Koenders, Sam Verhezen, Xenia Sterl, Lauren Keizer, Pedro Alonso Gonzáles and Mark Bensman fitted models to the data, modeled VC experiments and extend the data to microcircuits to investigate how the threshold behaviour of these neurons influences information transfer.
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link to data and paper: |
PLOS CB paper about the difference between inhibitory and excitatory neurons, the effects of adaptation and of IV-curve shape (here are the data, and here the code) |
| link to code: |
Github analysis tools, Open Source Brain model with axon initial segment, Point neuron fitted to database, |
| We are also in Neurodata Without Borders |