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Les Notes et les Rogatons de Boulet.
The standard view of neural signaling is that a neuron can influence its target cell by exciting or inhibiting it. An important aspect of the standard view is that learning consists of changing the efficacy of synapses, either strengthening (long-term potentiation) or weakening (long-term depression) them. In studying how cerebellar Purkinje cells change their responsiveness to a stimulus during learning of conditioned responses, we have found that these cells can learn the temporal relationship between two paired stimuli. The cells learn to respond at a particular time that reflects the time between the stimuli. This finding radically changes current views of both neural signaling and learning.
Neurons might contain something incredible within them.
China has started a grand experiment in AI education. It could reshape how the world learns.
In recent years, the country has rushed to pursue “intelligent education.” Now its billion-dollar ed-tech companies are planning to export their vision overseas.
The musician and comedian Martin Mull has observed that “writing about music is like dancing about architecture”. In a similar way, there's an inherent inadequacy in writing about tools for thought. To the extent that such a tool succeeds, it expands your thinking beyond what can be achieved using existing tools, including writing. The more transformative the tool, the larger the gap that is opened. Conversely, the larger the gap, the more difficult the new tool is to evoke in writing. But what writing can do, and the reason we wrote this essay, is act as a bootstrap. It's a way of identifying points of leverage that may help develop new tools for thought. So let's get on with it.
