Abstract: We propose a supervised learning model that enables error backpropagation for spiking neural network hardware. The method is modeled by modifying an ...
Regardless of where you are, summer is a reminder that emergencies like cardiac arrest can happen anywhere. Take the safety ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Abstract: Random noise attenuation is an important step in seismic data processing. Unfortunately, most conventional denoising methods heavily rely on specific prior knowledge and fine-tuning of the ...
Please refer our paper for more details. Works for Python version < 3.8 Note: For faster installation, if you don't plan to use neural networks, you can skip ...
It remains poorly understood how different cells in a tissue organize and coordinate with each other to support tissue functions. To better understand the structure-function relationship of a tissue, ...
In deep neural networks, representational learning in the middle layer is essential for achieving efficient learning. However, the currently prevailing backpropagation learning rules (BP) are not ...
Cortical pyramidal neurons have a complex dendritic anatomy, whose function is an active research field. In particular, the segregation between its soma and the apical dendritic tree is believed to ...
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