My undergrad research was on identifying synaptic strengths based on firing behavior of networks of simple integrate to threshold neuron models.
A toy model compared to real neurons but a good starting place with nice results. We could identify the solution that most robustly reproduced the firing patterns even in the presence of noise.
I would be curious how well the connectome documents connection and dendrite/axon geometry, beyond connection paths. For shedding light on behavior related to connection strengths, timing, neuron firing sensitivities, etc. For the stable non-learning model as captured at scanning time.
To investigate adaptation purpose & behavior, it helps to understand what operational behavior has been learned.
A toy model compared to real neurons but a good starting place with nice results. We could identify the solution that most robustly reproduced the firing patterns even in the presence of noise.
I would be curious how well the connectome documents connection and dendrite/axon geometry, beyond connection paths. For shedding light on behavior related to connection strengths, timing, neuron firing sensitivities, etc. For the stable non-learning model as captured at scanning time.
To investigate adaptation purpose & behavior, it helps to understand what operational behavior has been learned.