D. Sekizawa
@D_Sekizawa
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Thrilled to announce that our paper is published in PRX🎉 (. We derived a novel relation between oscillations and the entropy production rate. Applying it to neural data sheds light on how brain waves relate to the irreversibility of neural dynamics.(1/14)
Scientists decomposed the housekeeping entropy production rate into multiple factors and calculated the contribution of each. Applying their model to electrocorticography data in monkeys provided insights into various oscillatory modes. Read the paper:
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RT @ito_sosuke: プレスリリース、東大から出たようです。 また関澤さんの一連のツイートをリポストしました。 少し僕はPRXの結果の今回得られた分解について、熱力学的な視点から議論したいと思います。
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Our results provide new insights into oscillations in biological systems via stochastic thermodynamics. They may also shed light on the effects of brain waves on brain information processing, given known relations between the entropy production rate and information processing.
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In this study, we focus specifically on neural oscillations in the brain. Although neural oscillations such as delta, theta, and alpha waves play a crucial role in brain information processing, it remains unclear how oscillations are related to the entropy production rate.(3/14)
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Stochastic thermodynamics links the entropy production rate to limits of information processing, opening new perspectives in biophysics. However, its relation to oscillations, ubiquitous in biological system remain unclear.(2/14)
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RT @oizumim: Seminar Alert! Everyone is welcome to join! "Advances in Theoretical Frameworks for Neural Dynamics An…
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