ALT: Jeremiah Johnson: Well Done!

The fundamental principle of using AI for science is that it can help us do some things extremely efficiently, but it usually requires an ‘oracle’ or verifier. I’m of the opinion that we simply don’t ...

iSTTC: intrinsic neural timescales estimation. Contribute to iinnpp/isttc development by creating an account on GitHub.

Various neuroscientific theories maintain that brain oscillations are important for neuronal computation, but opposing views claim that these macroscale dynamics are ‘exhaust fumes’ of more relevant p...

Jaxley is a versatile platform for biophysical modeling in neuroscience. It allows efficiently simulating large-scale biophysical models on CPUs, GPUs and TPUs. Model parameters can be optimized with ...

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Amortized simulation-based inference (SBI) methods train neural networks on simulated data to perform Bayesian inference. While this strategy avoids the need for tractable likelihoods, it often requir...

Schulz et al. demonstrate how neural encoding and decoding can be cast as computing conditional distributions and how to modify variational autoencoders (VAEs) to calculate such distributions. The pro...