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 Reinforcement learning (1)
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Articles 1  5 of 5
FullText Articles in Physics
Stochastic Resonance In A Proton Pumping Complex I Of Mitochondria Membranes, Davneet Kaur, Ilan Filonenko, Lev Mourokh, Cornelius Fendler, Robert H. Blick
Stochastic Resonance In A Proton Pumping Complex I Of Mitochondria Membranes, Davneet Kaur, Ilan Filonenko, Lev Mourokh, Cornelius Fendler, Robert H. Blick
Publications and Research
We make use of the physical mechanism of proton pumping in the socalled Complex I within mitochondria membranes. Our model is based on sequential charge transfer assisted by conformational changes which facilitate the indirect electronproton coupling. The equations of motion for the proton operators are derived and solved numerically in combination with the phenomenological Langevin equation describing the periodic conformational changes. We show that with an appropriate set of parameters, protons can be transferred against an applied voltage. In addition, we demonstrate that only the joint action of the periodic energy modulation and thermal noise leads to efficient uphill proton ...
Rules And Mechanisms For Efficient TwoStage Learning In Neural Circuits, Tiberiu Teşileanu, Bence Ölveczky, Vijay Balasubramanian
Rules And Mechanisms For Efficient TwoStage Learning In Neural Circuits, Tiberiu Teşileanu, Bence Ölveczky, Vijay Balasubramanian
Publications and Research
Trialanderror learning requires evaluating variable actions and reinforcing successful variants. In songbirds, vocal exploration is induced by LMAN, the output of a basal gangliarelated circuit that also contributes a corrective bias to the vocal output. This bias is gradually consolidated in RA, a motor cortex analogue downstream of LMAN. We develop a new model of such twostage learning. Using stochastic gradient descent, we derive how the activity in ‘tutor’ circuits (e.g., LMAN) should match plasticity mechanisms in ‘student’ circuits (e.g., RA) to achieve efficient learning. We further describe a reinforcement learning framework through which the tutor can build ...
A Principle Of Economy Predicts The Functional Architecture Of Grid Cells, XueXin Wei, Jason Prentice, Vijay Balasubramanian
A Principle Of Economy Predicts The Functional Architecture Of Grid Cells, XueXin Wei, Jason Prentice, Vijay Balasubramanian
Publications and Research
Grid cells in the brain respond when an animal occupies a periodic lattice of ‘grid fields’ during navigation. Grids are organized in modules with different periodicity. We propose that the grid system implements a hierarchical code for space that economizes the number of neurons required to encode location with a given resolution across a range equal to the largest period. This theory predicts that (i) grid fields should lie on a triangular lattice, (ii) grid scales should follow a geometric progression, (iii) the ratio between adjacent grid scales should be √e for idealized neurons, and lie between 1.4 and ...
Wave Function For Harmonically Confined Electrons In TimeDependent Electric And Magnetostatic Fields, HongMing Zhu, JinWang Chen, XiaoYin Pan, Viraht Sahni
Wave Function For Harmonically Confined Electrons In TimeDependent Electric And Magnetostatic Fields, HongMing Zhu, JinWang Chen, XiaoYin Pan, Viraht Sahni
Publications and Research
We derive via the interaction “representation” the manybody wave function for harmonically confined electrons in the presence of a magnetostatic field and perturbed by a spatially homogeneous timedependent electric field—the Generalized Kohn Theorem (GKT) wave function. In the absence of the harmonic confinement – the uniform electron gas – the GKT wave function reduces to the Kohn Theorem wave function. Without the magnetostatic field, the GKTwave function is the Harmonic Potential Theorem wave function. We further prove the validity of the connection between the GKT wave function derived and the system in an accelerated frame of reference. Finally, we provide examples ...
Wave Function For TimeDependent Harmonically Confined Electrons In A TimeDependent Electric Field, YuQi Li, XiaoYin Pan, Viraht Sahni
Wave Function For TimeDependent Harmonically Confined Electrons In A TimeDependent Electric Field, YuQi Li, XiaoYin Pan, Viraht Sahni
Publications and Research
The manybody wave function of a system of interacting particles confined by a timedependent harmonic potential and perturbed by a timedependent spatially homogeneous electric field is derived via the Feynman pathintegral method. The wave function is comprised of a phase factor times the solution to the unperturbed timedependent Schrödinger equation with the latter being translated by a timedependent value that satisfies the classical driven equation of motion. The wave function reduces to that of the Harmonic Potential Theorem wave function for the case of the timeindependent harmonic confining potential.