Where ML models are used as the centerpiece of an epistemic classification procedure, reliability is not sufficient for ethical use. The nature of classification errors should be taken into account.
My contribution was a task called conceptual combinations, created together with Raphaël Millière, Catherine Stinson, and Dimitri Coehlo Mollo.
In the brain, semantic information is intertwined with Shannon information.
There can be an objective fact about the number of bits in a biological signal, despite the fact that the signal is receiver-relative.
Reading minds is easier than you might think.
Neural reuse helped to liberate humans from evolutionary constraints faced by our ancestors.
The concept of neural coding makes sense, if the codes can be learned by neurons.
If meta-cognition evolved, there is probably something like semi-meta-cognition.
Network representation compresses information about complex systems without abstracting away from the properties that make them complex.
If there are localized functions in the brain, they can only be articulated by abstracting away from functions associated with particular experimental tasks.