Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: One of the ultimate goals of computational neuroscience is to quantitatively connect beten complex neural circuits and behaviors. In the past decades, the touch response circuit in  Caenorhabditis elegans  ( C. elegans ) has extensively been investigated in studies using genetically modified or laser-ablated worms. Synaptic connections, including chemical and electrical synapses, have been identified for most neurons in the  C. elegans.  Hover,  still do not know whether the empirically observed touch responses can be derived from connectome reconstructed from databases. To address this issue,  defined the transmission abilities (or levels) of neurons in a rate model in order to infer the behaviors of wild-type and ablated worms in response to posterior/nose/anterior touch stimuli. Our analysis shod that transmission abilities can be used to identify sensorimotor mapping from stimuli to movements and then to infer the  C. elegans  behaviors under simulations based on the perspective of decision-making, and provide useful information about how chemical and electronic synapses should be combined in the neural network movement analysis.  reveals an efficient tool that provided insights into the functions of complex neural circuits.
['Cheng-Wei Li', 'Chung-Chuan Lo', 'Bor-Sen Chen']
I am writing a research paper on a idea Estimating Sensorimotor Mapping From Stimuli to Behaviors to Infer C. I am writing a research paper on a idea elegans Movements by Neural Transmission Ability Through Connectome Databases
[{"from": "human", "value": "I am writing a research paper on a idea Estimating Sensorimotor Mapping From Stimuli to Behaviors to Infer C. I am writing a research paper on a idea elegans Movements by Neural Transmission Ability Through Connectome Databases"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: One of the ultimate goals of computational neuroscience is to quantitatively connect beten complex neural circuits and behaviors. In the past decades, the touch response circuit in  Caenorhabditis elegans  ( C. elegans ) has extensively been investigated in studies using genetically modified or laser-ablated worms. Synaptic connections, including chemical and electrical synapses, have been identified for most neurons in the  C. elegans.  Hover,  still do not know whether the empirically observed touch responses can be derived from connectome reconstructed from databases. To address this issue,  defined the transmission abilities (or levels) of neurons in a rate model in order to infer the behaviors of wild-type and ablated worms in response to posterior/nose/anterior touch stimuli. Our analysis shod that transmission abilities can be used to identify sensorimotor mapping from stimuli to movements and then to infer the  C. elegans  behaviors under simulations based on the perspective of decision-making, and provide useful information about how chemical and electronic synapses should be combined in the neural network movement analysis.  reveals an efficient tool that provided insights into the functions of complex neural circuits."}]