scholarly article | Q13442814 |
P2093 | author name string | Michael Lynn | |
Jean-Claude Béïque | |||
Richard Naud | |||
P2860 | cites work | Cannabinoid physiology and pharmacology: 30 years of progress. | Q34355485 |
Membrane lipids tune synaptic transmission by direct modulation of presynaptic potassium channels | Q34401478 | ||
Endocannabinoid-mediated synaptic plasticity in the CNS. | Q36507561 | ||
Statistical inference for noisy nonlinear ecological dynamic systems | Q43954821 | ||
Metaplasticity at CA1 Synapses by Homeostatic Control of Presynaptic Release Dynamics | Q47991742 | ||
Characteristics of CA1 neurons recorded intracellularly in the hippocampalin vitro slice preparation | Q48470636 | ||
Correlated Synaptic Inputs Drive Dendritic Calcium Amplification and Cooperative Plasticity during Clustered Synapse Development | Q48923475 | ||
The NumPy Array: A Structure for Efficient Numerical Computation | Q57317251 | ||
A Synthetic Likelihood Solution to the Silent Synapse Estimation Problem | Q97650563 | ||
P4510 | describes a project that uses | Python | Q28865 |
P433 | issue | 3 | |
P921 | main subject | Python | Q28865 |
Python package | Q29642950 | ||
P6104 | maintained by WikiProject | WikiProject Software | Q15659621 |
P304 | page(s) | 100176 | |
P577 | publication date | 2020-11-24 | |
P1433 | published in | STAR Protocols | Q96732630 |
P1476 | title | Accurate Silent Synapse Estimation from Simulator-Corrected Electrophysiological Data Using the SilentMLE Python Package | |
P478 | volume | 1 |
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