My home page |
Home
Dendritic morphology and synapse strengths
A neuron receives information from other neurons via
hundreds of synapses that are widely distributed across its
dendritic branches. Input signals from synapses propagate
along the dendrites to the soma, where the neuron
decides whether or not to fire an action potential.
Signals that travel farther also attenuate more. If all synapses
were equally strong, synapses far from the soma would have
less influence on the decision to fire than synapses close by.
In hippocampal pyramidal neurons, however, distal synapses are stronger
than proximal ones so that all synapses
have an equal voice at the soma, a phenomenon called synaptic democracy. But how do
synapses "know" how far they are from the soma and how can a neuron use
this information to create a synaptic democracy?
Using computational models of pyramidal neurons, we study, in collaboration with
David Sterratt, what neuronal signals could
be used by the cell to set up a synaptic democracy in a self-organizing manner.
- Development of dendritic tonic GABAergic inhibition regulates excitability
and plasticity in CA1 pyramidal neurons
Groen, M. R., Paulsen, O., Perez-Garci, E., Nevian, T.,
Wortel, J., Dekker, M. P., Mansvelder, H. D., Van Ooyen, A.*, and
Meredith, R. M.* (2014) (* joint senior authors).
J. Neurophysiology 112: 287-299.
[Abstract]
[Full text: PDF]
- Spine calcium transients induced
by synaptically-evoked action potentials can predict synapse location and establish synaptic democracy
Sterratt, D. C., Groen, M. R., Meredith, R. M., and Van Ooyen, A. (2012).
PloS Computational Biology 8(6): e1002545. doi:10.1371/journal.pcbi.1002545.
[Abstract]
[Full text: PDF]
[Supporting figures: PDF]
- Does a dendritic democracy need a ruler?
Sterratt, D. C., and Van Ooyen, A. (2004).
Neurocomputing 58-60: 437-442.
[Abstract]
[Full text: PDF]
- Does morphology influence temporal plasticity?
Sterratt, D. C., and Van Ooyen, A. (2002).
In: Dorronso, J. R., ed. Artificial Neural Networks - ICANN 2002, Vol. 2415 of
Lecture Notes in Computer Science. Berlin: Springer Verlag, pp. 186-191.
[Abstract]
[Full text: PDF]
My home page |
Home