Impact of active dendrites and structural plasticity on the memory capacity of neural tissue. Export

@article{Poirazi, abstract = {We consider the combined effects of active dendrites and structural plasticity on the storage capacity of neural tissue. We compare capacity for two different modes of dendritic integration: (1) linear, where synaptic inputs are summed across the entire dendritic arbor, and (2) nonlinear, where each dendritic compartment functions as a separately thresholded neuron-like summing unit. We calculate much larger storage capacities for cells with nonlinear subunits and show that this capacity is accessible to a structural learning rule that combines random synapse formation with activity-dependent stabilization/elimination. In a departure from the common view that memories are encoded in the overall connection strengths between neurons, our results suggest that long-term information storage in neural tissue could reside primarily in the selective addressing of synaptic contacts onto dendritic subunits.}, address = {Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.}, author = {Poirazi, P. and Mel, B. W.}, citeulike-article-id = {398653}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/11301036}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=11301036}, issn = {0896-6273}, journal = {Neuron}, keywords = {active, computation, dendrites, dendritic}, month = {March}, number = {3}, pages = {779--796}, posted-at = {2009-11-08 00:14:13}, priority = {2}, title = {Impact of active dendrites and structural plasticity on the memory capacity of neural tissue.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11301036}, volume = {29}, year = {2001} }

TY - JOUR ID - Poirazi L3 - citeulike-article-id:398653 N2 - We consider the combined effects of active dendrites and structural plasticity on the storage capacity of neural tissue. We compare capacity for two different modes of dendritic integration: (1) linear, where synaptic inputs are summed across the entire dendritic arbor, and (2) nonlinear, where each dendritic compartment functions as a separately thresholded neuron-like summing unit. We calculate much larger storage capacities for cells with nonlinear subunits and show that this capacity is accessible to a structural learning rule that combines random synapse formation with activity-dependent stabilization/elimination. In a departure from the common view that memories are encoded in the overall connection strengths between neurons, our results suggest that long-term information storage in neural tissue could reside primarily in the selective addressing of synaptic contacts onto dendritic subunits. IS - 3 JF - Neuron SN - 0896-6273 AD - Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA. EP - 796 TI - Impact of active dendrites and structural plasticity on the memory capacity of neural tissue. VL - 29 SP - 779 KW - active KW - computation KW - dendrites KW - dendritic AU - Poirazi, P AU - Mel, BW PY - 2001/03// UR - http://view.ncbi.nlm.nih.gov/pubmed/11301036 ER -