Friday, November 23, 2018

The thermodynamics of brain computation


.

Join experts at the European Neurology Congress in Venice Italy. Speakers who are doing creative approaches, advancing the technology and understanding share their knowledge and expertise and can help your professional development. Networking with experts and like-minded people attending the conference gives you an opportunity to develop vital connections. 

Read my abstract for the conference: 
The brain’s regulation is based on its high entropy resting state, which is maintained by an energy requiring process. Recurrent energy-information exchange allows the examination of brain activity based on thermodynamic considerations. The brain’s self-regulation ensures a readiness to respond to stimulus and forms the basis of discrete processing of stimuli (Figure 1). In the neural tissue electromagnetic activity inversely moves energy and information between the cortex and the limbic brain. High frequencies, triggered by a stimulus, compress data and build an evoked potential. In the cortex, neuronal activation extinguishes the oscillations but accumulates an electric potential. The reversal of information flow via low-frequency oscillations expands the area of activation. Thus, fast and slow frequencies form the polarity effects of the brain’s electrical activities. Stimulus represents spatial information, whereas the brain’s activation cycle as well as human physiology, thoughts, speech is structured in time. Therefore, sensory processing is an orthogonal transformation. Repeated activation changes the energy need and weight of synaptic connections, forming favored activation patterns. Improving responses to stimulus form a mental abstraction of the environment and lead to memory and learning, which maximizes the system’s potential to respond intelligently to future changes. The state of the observer, i.e., the brain, determines the information value of the signal, leading to holographic computation. Perception has a distinctly subjective quality, which is projected forward to anticipate the future. Analyzing neural computation based on physical principles can improve our understanding of brain operation in both health and disease.








Figure 1.  Changes of the brain energy balance due to the stimulus. The brain frequencies change from high, on the left (#1), to low, toward the right (#3), determining the direction of information flow in the brain (shown by a thin line). The resting state of is relatively energy neutral before stimulus (#1) and after a response (#3).  The evoked potential is illustrated by 2. The high energy need of enhanced brain frequencies induces urgency, whereas the high amplitude of the lowest frequencies coalesces into the overarching coherence of the resting state (#3).




The book on Amazon                                          My mailing list                     





The Science of Consciousness Post, your news about the mind
The Science of Consciousness, please join the discussion
Website: evadeli





Copyright © 2018 by Eva Deli

No comments:

Post a Comment