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Connections made via apical synapses seemed to be strengthened by movement information more than those made via basal ...
With AI, “we are in the process not of re-creating human biology,” said Thomas Naselaris, a neuroscientist at the University ...
In Lindsay’s neural network, her team gave their model thousands of images of beaver dams and the network learned to identify patterns that represent what these structures look like, with the goal of ...
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How neural networks represent data: A potential unifying theory for key deep learning phenomenaHow do neural networks work ... suggests possibilities for manually injecting noise into neuron gradients to engineer specific structures in the model's representations. Poggio says that a ...
Merging neurons with semiconductors signals a shift in brain–machine interface design and neuromorphic engineering.
Willits explains that this discovery could have future applications in controlling neural stem cell differentiation in laboratories to accelerate neuron growth ... changes in cells’ shape, size and ...
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