Inside the brain of a neuron. Export

@article{citeulike:841454, abstract = {For many decades, neurons were considered to be the elementary computational units of the brain and were assumed to summate incoming signals and elicit action potentials only in response to suprathreshold stimuli. Although modelling studies predicted that single neurons constitute a much more powerful computational entity, able to perform an array of nonlinear calculations, this possibility was not explored experimentally until the discovery of active mechanisms in the dendrites of most neuron types. Here, we review several modelling studies that have addressed information processing in single neurons, starting with those characterizing the arithmetic of different dendritic components, to those tackling neuronal integration at the cell body and, finally, those analysing the computational abilities of the axon. We present modelling predictions along with supporting experimental data in an effort to highlight the significant contribution of modelling work to enhancing our understanding of single-neuron arithmetic.}, address = {Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology-Hellas (FORTH), Vassilika Vouton PO Box 1583, Heraklion GR71110, Crete, Greece.}, author = {Sidiropoulou, K. and Pissadaki, E. K. and Poirazi, P.}, citeulike-article-id = {841454}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/sj.embor.7400789}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/16953202}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=16953202}, doi = {10.1038/sj.embor.7400789}, issn = {1469-221X}, journal = {EMBO Rep}, keywords = {coincidence\_detector, dendrites}, month = {September}, number = {9}, pages = {886--892}, posted-at = {2006-11-23 16:14:31}, priority = {3}, title = {Inside the brain of a neuron.}, url = {http://dx.doi.org/10.1038/sj.embor.7400789}, volume = {7}, year = {2006} }

TY - JOUR ID - citeulike:841454 L3 - citeulike-article-id:841454 N2 - For many decades, neurons were considered to be the elementary computational units of the brain and were assumed to summate incoming signals and elicit action potentials only in response to suprathreshold stimuli. Although modelling studies predicted that single neurons constitute a much more powerful computational entity, able to perform an array of nonlinear calculations, this possibility was not explored experimentally until the discovery of active mechanisms in the dendrites of most neuron types. Here, we review several modelling studies that have addressed information processing in single neurons, starting with those characterizing the arithmetic of different dendritic components, to those tackling neuronal integration at the cell body and, finally, those analysing the computational abilities of the axon. We present modelling predictions along with supporting experimental data in an effort to highlight the significant contribution of modelling work to enhancing our understanding of single-neuron arithmetic. IS - 9 JF - EMBO Rep SN - 1469-221X AD - Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology-Hellas (FORTH), Vassilika Vouton PO Box 1583, Heraklion GR71110, Crete, Greece. EP - 892 TI - Inside the brain of a neuron. VL - 7 SP - 886 KW - coincidence_detector KW - dendrites AU - Sidiropoulou, K AU - Pissadaki, EK AU - Poirazi, P PY - 2006/09// UR - http://dx.doi.org/10.1038/sj.embor.7400789 ER -