The provided code is part of a computational model in neuroscience aimed at simulating the behavior of a neural circuit, specifically focusing on mitral and granule cells which are pivotal components of the olfactory bulb circuitry. Below is a breakdown of the biological basis of this code.
GabaAGr_Gran2Mit
.GabaAGr_Gran2Mit.tau
defines the time constant for the inhibitory postsynaptic conductance, which influences how long the inhibitory effect lasts after synaptic release.GabaAGr_Gran2Mit.gmax
): This parameter is varied in the model to simulate different strengths of the inhibitory synapse. It affects the postsynaptic current generated at the mitral cells when granule cells release neurotransmitters.random1
) to simulate the biological variability in synaptic transmission and neuronal response. This reflects real-world scenarios where neuron firing can be influenced by numerous unpredictable factors.Iinj
): The code simulates the injection of current into the mitral cells, likely representing sensory input from olfactory receptor neurons. The three different intensity levels of current (Iinj.x[0]
, Iinj.x[1]
, Iinj.x[2]
) indicate varying strengths of external stimuli.nbnoise
) and inhibitory strengths, to observe how these factors affect the spiking behavior of mitral cells. The mitral cell spiking times (mit[0][0].spiketimes
) are recorded, which reflect the cell's response to inputs and inhibition.This model captures critical aspects of the olfactory bulb's neural circuitry, focusing on the interaction between mitral and granule cells. It provides insights into how different synaptic and intrinsic parameters can influence neural responses, essential for understanding olfactory processing and sensory information integration in the brain.