Sequence learning in differentially activated dendrites

Bjørn Gilbert Nielsen

Research output: Contribution to journalJournal articleResearchpeer-review


Differentially activated areas of a dendrite permit the existence of zones with distinct rates of synaptic modification, and such areas can be individually accessed using a reference signal which localizes synaptic plasticity and memory trace retrieval to certain subregions of the dendrite. It is proposed that the neural machinery required in such a learning/retrieval mechanism could involve the NMDA receptor, in conjunction with the ability of dendrites to maintain differentially activated regions. In particular, it is suggested that such a parcellation of the dendrite allows the neuron to participate in multiple sequences, which can be learned without suffering from the 'wash-out' of synaptic efficacy associated with superimposition of training patterns. This is a biologically plausible solution to the stability-plasticity dilemma of learning in neural networks.
Original languageEnglish
JournalNetwork-computation in Neural Systems
Issue number2
Pages (from-to)189-209
Publication statusPublished - 2003


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