Brain Function on the Basis of Biological Equilibrium – The “Triggering Brain”




A model of brain function is presented that is consistently based on the biological principle of equilibrium. The neuronal modules of the cerebral cortex are proposed as units in which equilibrium between incoming signals and the synaptic structure is determined or established. Because of the electromagnetic activity of the brain, the electromagnetic properties of the cells are brought into focus. Due to the synaptic changes of the modules - essentially during sleep - an electromagnetic resting balance between the modules is established. Incoming signals during the day, disturb the electromagnetic resting equilibrium and are detected and understood by this. The connecting nodes within the neuronal network are given by the equilibrium modules. Incoming information is represented in the form of the specific pathway of the network, while recognized information is represented by the equilibrium states within the modules. The paper leads to an understanding of information storage and processing in the brain. It even provides a hypothesis for understanding the emergence of the "self". Finally, the consideration of electromagnetic wave properties of neurons opens up a biophysical starting point to understanding conscious perceptions. In neuroscience, we lack a unifying theory of the brain. The reason for this may be an important detail – a missing link – that we do not yet see. Following the "track of biological equilibrium" in this paper leads to the hypothesis that the electromagnetic properties of the neurons are potential candidates to fill that gap. A hypothesis is developed describing their physiological significance in the processing of neurological information.


Biological equilibrium, electromagnetism, Brain function, neronal representation, actual information, potential information, self, consciousness


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How to Cite

Stueber, J. (2023). Brain Function on the Basis of Biological Equilibrium – The “Triggering Brain”. Journal of NeuroPhilosophy, 2(2).



Philosophy for Neuroscientist