[baton_senger44]

Is it possible to use more than one activation function in the same layer in a ml model? Like, for example, can I use both ReLU and sigmoid in the same hidden layer? And if I do that, would that make the model more similar to a brain neuron? I'd guess a brain neuron isn't just one function.
I know that activation functions are used to introduce non-linearity and mimic the firing of neurons, but I'm not sure if using different ones in the same layer would make any sense or have any benefits.