A biophysical basis for the inter-spike interaction of spike-timing-dependent plasticity
| Autor: | Harel Z. Shouval, Luk Chong Yeung, Yidao Cai, Leon N. Cooper, Neel Shah |
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| Rok vydání: | 2005 |
| Předmět: |
Time Factors
General Computer Science Spike train Models Neurological Biophysics Action Potentials Context (language use) Synaptic Transmission Biophysical Phenomena Computer Science::Emerging Technologies Postsynaptic potential Predictive Value of Tests Animals Neurons Synaptic scaling Neuronal Plasticity Quantitative Biology::Neurons and Cognition Homosynaptic plasticity Spike-timing-dependent plasticity Excitatory Postsynaptic Potentials Synaptic plasticity Synapses Spike (software development) Calcium Psychology Neuroscience Biotechnology |
| Zdroj: | Biological cybernetics. 95(2) |
| ISSN: | 0340-1200 |
| Popis: | Although spike-timing-dependent plasticity (STDP) is well characterized when pre- and postsynaptic spikes are paired with a given time lag, how this generalizes for more complex spike-trains is unclear. Recent experiments demonstrate that contributions to synaptic plasticity from different spike pairs within a spike train do not add linearly. In the visual cortex conditioning with spike triplets shows that the effect of the first spike pair dominates over the second. Using a previously proposed calcium-dependent plasticity model, we show that short-term synaptic dynamics and interaction between successive back-propagating action potentials (BPAP) may jointly account for the nonlinearities observed. Paired-pulse depression and attenuation of BPAPs are incorporated into the model through the use-dependent depletion of pre- and postsynaptic resources, respectively. Simulations suggest that these processes may play critical roles in determining how STDP operates in the context of natural spike-trains. |
| Databáze: | OpenAIRE |
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