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@antoniocbscosta | |||||
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Using simple linear models as building blocks, we are able to segment complex dynamics into interpretable segments. From brain to behavior, we find near-critical dynamics and show evidence of its modulation. @PNASNews #biophysics #behavior #neuroscience tinyurl.com/yaaw6dsu twitter.com/greg_stephens/…
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Juliana Couras
@julicouras
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21. sij 2019. |
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Saved for reading! Meanwhile, just by reading the abstract, a question popped up in my mind: is this somehow related to the barabasi linear approach of control theory?
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antoniocbscosta
@antoniocbscosta
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21. sij 2019. |
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But if I understand it correctly, it makes use of a linear approximation of the full system to infer controllability. We instead use a collection of linear systems, locally in time, to represent the full nonlinear dynamics of these systems, while making minimal assumptions.
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Jose Cruz
@CbrJosecruz
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18. sij 2019. |
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Congrats!!
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antoniocbscosta
@antoniocbscosta
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18. sij 2019. |
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Obrigado man! Abraço
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