The Human brain consists of billions of neurons that communicate with each other through nerve impulses propagated by axons and synapses. During our lives, synapses change, allowing us to learn, perceive the world, reason and have feelings. The artificial neuronal network (NN) - made up of layers of interconnected neurons - digitally reproduces some of the functions of our brain and is able to learn concepts from examples. In the interactive work “NeuralRope#1. Inside an Artificial Brain” we teach an NN to distinguish forms of two kinds: triangles and squares from hand gestures. The network, initially trained in the laboratory, acquires new images by observing passers-by through the camera positioned at the beginning of the tunnel. While learning, the NN processes the information and modifies its axons and synapses accordingly. Afterwards, the NN will show on monitors at the exit of the tunnel whether a triangle or a square is represented in the perceived image. Therefore, the NN will have observed, reasoned and learned.