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Prob. Inference of Short-Term Synaptic Plasticity in Neocort. Microcircuits (Costa et al. 2013)
" ... As a solution (for Short Term Plasticity (STP) inference), we introduce a Bayesian formulation, which yields the posterior distribution over the model parameters given the data. First, we show that common STP protocols yield broad distributions over some model parameters. Using our result we propose a experimental protocol to more accurately determine synaptic dynamics parameters. Next, we infer the model parameters using experimental data from three different neocortical excitatory connection types. This reveals connection-specific distributions, which we use to classify synaptic dynamics. Our approach to demarcate connection-specific synaptic dynamics is an important improvement on the state of the art and reveals novel features from existing data."
  • Costa RP, Sjöström PJ, van Rossum MC (2013) Show Other
  • Costa, Rui Ponte [ruipontecosta at gmail.com] Show Other
rui.costa@ed.ac.uk
Costa, Rui P. [rui.costa@ed.ac.uk]
Probabilistic Inference of Short-Term Synaptic Plasticity in Neocortical Microcircuits, Frontiers in Computational Neuroscience (under review)
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Revisions: 32
Last Time: 8/20/2014 4:39:03 PM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin