The code represents a computational model of synaptic transmission using a C=O gating scheme, primarily focused on the behavior of synapses at the neuronal level. Here's a breakdown of the biological basis of the model:
Synaptic Transmission:
Gating Scheme:
C
represents the closed state and O
represents the open state of the synaptic ion channels. This is a typical simplification used to capture the dynamics of ion channel opening and closing in response to neurotransmitter presence.Time Constants and Dynamics:
tau1
and tau2
represent the time constants for binding and unbinding of neurotransmitters to the receptors. tau1
is related to the neurotransmitter-receptor binding, whereas tau2
is associated with the channel open state duration.Conductance and Current:
gmax
is the maximum conductance of the synaptic channel when fully open. Conductance changes are computed to determine the synaptic current.i
) is influenced by the difference between the membrane potential (v
) and the reversal potential (Erev
), and is proportional to the conductance (g
).Neurotransmitter Release:
Tmax
and the NET_RECEIVE
block manage the transient rise in neurotransmitter concentration upon synaptic activation, affecting transition to the open state (O
).Conservation:
CONSERVE C+O = 1
ensures that the total probability of the channel being in any state remains constant, corresponding to the idea that a channel can only be in one state at a time.Postsynaptic Response: The modeled synapse represents postsynaptic receptor dynamics, characteristic of channels like AMPA or NMDA receptors that open in response to neurotransmitter glutamate in the central nervous system.
Cerebellar Golgi Cells: While not explicitly described in the code, the documentation ties this synaptic model to simulations involving cerebellar Golgi cells. These interneurons modulate input signals to the cerebellum, and synaptic transmission is fundamental to their role in processing sensory information and motor coordination.
This code is part of a larger modeling study that aims to understand the electroresponsive properties of cerebellar neurons, emphasizing how synaptic inputs regulate neuronal behavior. The particular attention to kinetic rates, conductance, and synaptic current reflects the importance of these factors in shaping neuronal communication.