A spiking neural network builder for systematic data-to-model workflow

HIGHLIGHTS

• who: Carlos Enrique Gutierrez from the Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan, Brain Image have published the Article: A Spiking Neural Network Builder for Systematic Data-to-Model Workflow, in the Journal: (JOURNAL)
• what: From the analysis , six main entity groups were identified : The present release of the work reports some limitations not yet solved or implemented. The authors aimed to replicate these results using point-process neurons, which are computationally much less expensive for systematic analysis of model dynamics. The authors aim for SNNbuilder-to-application and SNNbuilder . . .
  

   

  

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