Position Paper on Neuron-Centric Plasticity
The new abstract of a position paper has now been published on F1000 with open peer review by S. Ramaswamy and I. Raikov. It explains how we need a paradigm shift from a synapse-centric theory of brain plasticity – the theory that gave us the adage “neurons that fire together wire together”- to a more […]
Read MorePrediction in the Brain: New Blog Post
Most neural network models have the property that they store incoming information over time sequentially, and then use additional mechanisms to weigh information by importance and learn connections between the serially stored information. Both transformer and GRU (LSTM) type networks use this architecture. They store information in a common network, without modularization. Additional adjustments attempt […]
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