2020 m. vasario 14 d. (penktadienis) 17 val. kviečiame į Kognityvinių mokslų centro seminarą, kuriame dr. Arseny Tarabanov, (Institute of Neurocommunications and Psychotherapy) skaitys pranešimą „Prediction model of brain and free energy principle in neuropsychoanalysis“.
Renginys vyks VU Filosofijos fakulteto 201 aud.
Pranešimo santrauka (anglų kalba):
At present movement we can affirm that Freudian theoretical constructs are correlated with neurobiological substrates and could be revisited in the context of modern neuroscience. Nowadays Freudian concepts are measured empirically in the frames of contemporary neuropsychoanalysis so the dialogue between psychoanalysts and neurobiologists can be provided. This may have implications also for psychiatry in order to integrate within psychopathology simultaneously neurobiological and psychoanalytical constructs.
Karl Friston demonstrates the fundamental unity of central Freudian constructs, the Bayesian model of the brain, and the empirical results of neuroimaging of the global organization of brain activity. Primary and secondary processes described by Freud are fundamentally different ways of cognition. In his 1895 writing, “Project for a Scientific Psychology”, Freud considered the concept of cathexis within the neural context of the brain, and regarded it as the discharge of electrochemical energy. Due to the peculiarities of neuroscience of that time he abandoned the neural context and replaced with a psychological one, thus associating cathexis with motivation, drive, libido.
The neuropsychoanalytic approach may be described as “replacement cathexis into the neural context of the brain”(Northoff, 2010). In contemporary terms Freud put forward a hypothesis about the “free” energy distribution and called it the “primary process”. Freud called this function a "secondary process" and defined its purpose as the conversion of "free energy" into "bound energy". Free energy and «Bayesian brain» can be observed from the point of view of theoretical and computational neurobiology.
It can be assumed that Helmholtz believes that the brain is a logical inference machine. Nowadays the examples of such a vision include «Bayesian brain», predictive coding, and the principle of free energy. This model suggests that the brain uses internal hierarchical models to predict its sensory input, and suggests that neural activity (and synaptic connections) try to minimize subsequent prediction error or free energy. This free energy is a measure of surprise. Important here is the difference between the primary and secondary Freudian processes, where the secondary process provides top-down predictions in order to reduce the propagating energy associated with the primary process that converts free energy into bound energy.
With this interrelation between the Freud and Bayesian models, we can link the energy associated with the primary process and the free energy of Bayesian model. In both concepts, higher cortical areas try to organize activities at lower levels by suppressing their energy.