A 3d ray traced biological neural network learning model

HIGHLIGHTS

• What: Taking advantage of BNNs, the authors design a dynamic neural_network that is transferable to any other network architecture and can accommodate many datasets. The authors show that the algorithm also outperformance the state of the art in EEG dataset. Proposed algorithm for simulating biological neural_networks Mimicking the BNN, the authors propose 3D ray-traced biological neural_networks (RayBNN), as shown in Fig 1b to solve limitations in transfer learning. The authors characterize the model in Fig 2 by first determining the cell density (η) to keep the probability of a cell collision (Pc) low.
• Who: Brosnan . . .
  

   

  

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