Multiprocessing neural network simulator
Over the last few years tremendous progress has been made in neuroscience by employing simulation tools for investigating neural network behaviour. Many simulators have been created during last few decades, and their number and set of features continually grows due to persistent interest from groups of researchers and engineers.A simulation software ...
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Computational optimization of two-photon holographic stimulation sites<i>in vivo</i>. [PDF]
Triplett MA +6 more
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A biologically plausible decision-making model based on interacting neural populations. [PDF]
Baspinar E +8 more
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Unlocking azobenzene isomerization mechanisms <i>via</i> an LLM agent-driven workflow integrating simulation, experiment, and machine learning. [PDF]
Shen Y +12 more
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CHARMM-GUI Hybrid ML/MM Builder for Hybrid Machine Learning and Molecular Mechanical Modeling and Simulations. [PDF]
Szczepaniak F, Suh D, Im W.
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The Virtual Brain links transcranial magnetic stimulation evoked potentials and inhibitory neurotransmitter changes in major depressive disorder. [PDF]
Hofsähs T +5 more
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Learning to simulate realistic human diffuse reflectance spectra. [PDF]
Hübner M +17 more
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Nonparametric estimation of conditional survival function with time-varying covariates using DeepONet. [PDF]
Hu B, Nan B.
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Simulating Rodent Populations using Neural Networks
Agricultural businesses must manage pests effectively. Populations of pests and other economically important species e.g. microtine rodents can exhibit violent fluctuations whose causes are poorly understood. The Periodic Lethal Toxin Production, PLTP, hypothesis of Doncaster and Plesner-Jensen attempts to explain the precipitous decline phase of ...
Dickman, Jon, Garratt, Paul
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A coupling model of transcranial magnetic stimulation induced electric fields to neural state variables. [PDF]
Miller A, Knösche TR, Weise K.
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