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 MoreNew Scholar on Boolean transformations
We welcome another scholar, Maira Perveen, from the TU Chemnitz neurorobotics lab for a thesis on Boolean transformations of indexed neural networks. Why is this relevant? We introduced a memory model (1, 2) that is based on biological cortical memory and uses neuron-centric principles. Now we want to add abstractions to it, such as integer-based […]
Read MoreBoolean Neural Networks
Neural Networks, which are the foundation of every human brain, are very peculiar structures. Their functioning can produce amazing results. Learning about them and the way they work, however, is an uphill task.To respond to this challenge, several models that represent the functionality of the neural networks were created, for instance, [6] and [14] . […]
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