The provided computational model simulates a biological neural network, likely focusing on understanding the dynamics of excitatory and inhibitory neuronal activity. The model seems to be built using the Brian2 library, a popular tool for simulating spiking neural networks.
Neuron Types:
Raster_exc
, Vm_exc
, Ge_exc
, and Gi_exc
.Raster_inh
, Vm_inh
, Ge_inh
, and Gi_inh
.Neuron Activity:
Raster_exc
and Raster_inh
objects are used to create raster plots, which visually represent the spiking of neurons over time. Each dot in the plot shows a spike event for a neuron at a specific time.Vm_exc
and Vm_inh
arrays likely store membrane potential (voltage) traces for excitatory and inhibitory neurons, respectively. This allows for the visualization of action potentials and subthreshold membrane potentials.Synaptic Conductances:
Synaptic Dynamics:
Ge_exc
, Gi_exc
, Ge_inh
, and Gi_inh
, which represent the conductance changes in neurons due to synaptic input.Population Rate:
rate_exc
, rate_inh
, and rate_array
represent the firing rates of the excitatory and inhibitory populations over time. These rates are crucial for understanding the overall activity of the neural network.Bursting and Spiking Phenomena:
Vm
variables allows for an analysis of how neurons encode information through firing patterns, which is essential in understanding network oscillations and synchronization phenomena.The model focuses on capturing the interactions between excitatory and inhibitory neuronal populations in a network. The balance of these two types of neurons is crucial for proper brain function, and disruptions can lead to neurological disorders like epilepsy. By simulating the spike patterns, membrane potentials, and synaptic conductances, this model helps in understanding how neuronal circuits process information dynamically and how stability is maintained in a neural network.
Overall, the model is a valuable tool for studying fundamental aspects of neuronal dynamics, such as excitation-inhibition balance, synaptic transmission, and neuronal coding, which are central to cognitive processes and behavioral responses.