Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many scientists believe that all pulse-coupled neural networks are toy models that are far away from the biological reality.  show, hover, that a huge class of biophysically detailed and biologically plausible neural-network models can be transformed into a canonical pulse-coupled form by a piece-wise continuous, possibly noninvertible, change of variables. Such transformations exist when a network satisfies a number of conditions; e,g., it is akly connected; the neurons are Class 1 excitable (i.e., they can generate action potentials with an arbitrary small frequency); and the synapses beten neurons are conventional (i.e., axo-dendritic and axe-somatic). Thus, the difference beten studying the pulse-coupled model and Hodgkin-Huxley-type neural networks is just a matter of a coordinate change. Therefore, any piece of information about the pulse-coupled model is valuable since it tells something about all akly connected networks of Class 1 neurons. For example,  show that the pulse-coupled network of identical neurons does not synchronize in-phase. This confirms Ermentrout's (1996) result that akly connected Class 1 neurons are difficult to synchronize, regardless of the equations that describe dynamics of each cell.
['Eugene M. Izhikevich']
I am writing a research paper on a idea Class 1 neural excitability, conventional synapses, weakly connected networks, and mathematical foundations of pulse-coupled models
[{"from": "human", "value": "I am writing a research paper on a idea Class 1 neural excitability, conventional synapses, weakly connected networks, and mathematical foundations of pulse-coupled models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many scientists believe that all pulse-coupled neural networks are toy models that are far away from the biological reality.  show, hover, that a huge class of biophysically detailed and biologically plausible neural-network models can be transformed into a canonical pulse-coupled form by a piece-wise continuous, possibly noninvertible, change of variables. Such transformations exist when a network satisfies a number of conditions; e,g., it is akly connected; the neurons are Class 1 excitable (i.e., they can generate action potentials with an arbitrary small frequency); and the synapses beten neurons are conventional (i.e., axo-dendritic and axe-somatic). Thus, the difference beten studying the pulse-coupled model and Hodgkin-Huxley-type neural networks is just a matter of a coordinate change. Therefore, any piece of information about the pulse-coupled model is valuable since it tells something about all akly connected networks of Class 1 neurons. For example,  show that the pulse-coupled network of identical neurons does not synchronize in-phase. This confirms Ermentrout's (1996) result that akly connected Class 1 neurons are difficult to synchronize, regardless of the equations that describe dynamics of each cell."}]