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Dive into the research topics where Sebastian F. Brandt is active.

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Featured researches published by Sebastian F. Brandt.


Physical Review D | 2005

The C operator in PT-symmetric quantum field theory transforms as a lorentz scalar

Carl M. Bender; Sebastian F. Brandt; Jun-Hua Chen; Qing-hai Wang

A non-Hermitian Hamiltonian has a real positive spectrum and exhibits unitary time evolution if the Hamiltonian possesses an unbroken PT (space-time reflection) symmetry. The proof of unitarity requires the construction of a linear operator called C. It is shown here that C is the complex extension of the intrinsic parity operator and that the C operator transforms under the Lorentz group as a scalar.


Journal of Neurophysiology | 2011

Recurrent Antitopographic Inhibition Mediates Competitive Stimulus Selection in an Attention Network

Dihui Lai; Sebastian F. Brandt; Harald Luksch; Ralf Wessel

Topographically organized neurons represent multiple stimuli within complex visual scenes and compete for subsequent processing in higher visual centers. The underlying neural mechanisms of this process have long been elusive. We investigate an experimentally constrained model of a midbrain structure: the optic tectum and the reciprocally connected nucleus isthmi. We show that a recurrent antitopographic inhibition mediates the competitive stimulus selection between distant sensory inputs in this visual pathway. This recurrent antitopographic inhibition is fundamentally different from surround inhibition in that it projects on all locations of its input layer, except to the locus from which it receives input. At a larger scale, the model shows how a focal top-down input from a forebrain region, the arcopallial gaze field, biases the competitive stimulus selection via the combined activation of a local excitation and the recurrent antitopographic inhibition. Our findings reveal circuit mechanisms of competitive stimulus selection and should motivate a search for anatomical implementations of these mechanisms in a range of vertebrate attentional systems.


Physical Review E | 2006

Variational calculation of the limit cycle and its frequency in a two-neuron model with delay

Sebastian F. Brandt; Axel Pelster; Ralf Wessel

We consider a model system of two coupled Hopfield neurons, which is described by delay differential equations taking into account the finite signal propagation and processing times. When the delay exceeds a critical value, a limit cycle emerges via a supercritical Hopf bifurcation. First, we calculate its frequency and trajectory perturbatively by applying the Poincaré-Lindstedt method. Then, the perturbation series are resummed by means of the Shohat expansion in good agreement with numerical values. However, with increasing delay, the accuracy of the results from the Shohat expansion worsens. We thus apply variational perturbation theory (VPT) to the perturbation expansions to obtain more accurate results, which moreover hold even in the limit of large delays.


Biological Cybernetics | 2007

Winner-take-all selection in a neural system with delayed feedback

Sebastian F. Brandt; Ralf Wessel

We consider the effects of temporal delay in a neural feedback system with excitation and inhibition. The topology of our model system reflects the anatomy of the avian isthmic circuitry, a feedback structure found in all classes of vertebrates. We show that the system is capable of performing a ‘winner-take-all’ selection rule for certain combinations of excitatory and inhibitory feedback. In particular, we show that when the time delays are sufficiently large a system with local inhibition and global excitation can function as a ‘winner-take-all’ network and exhibit oscillatory dynamics. We demonstrate how the origin of the oscillations can be attributed to the finite delays through a linear stability analysis.


EPL | 2007

Synchronization in a neuronal feedback loop through asymmetric temporal delays

Sebastian F. Brandt; Axel Pelster; Ralf Wessel

We consider the effect of asymmetric temporal delays in a system of two coupled Hopfield neurons. For couplings of opposite signs, a limit cycle emerges via a supercritical Hopf bifurcation when the sum of the delays reaches a critical value. We show that the angular frequency of the limit cycle is independent of an asymmetry in the delays. However, the delay asymmetry determines the phase difference between the periodic activities of the two components. Specifically, when the connection with negative coupling has a delay much larger than the delay for the positive coupling, the system approaches in-phase synchrony between the two components. Employing variational perturbation theory (VPT), we achieve an approximate analytical evaluation of the phase shift, in good agreement with numerical results.


Journal of Mathematical Physics | 2005

Recursive calculation of effective potential and variational resummation

Sebastian F. Brandt; H. Kleinert; Axel Pelster

We set up a method for a recursive calculation of the effective potential which is applied to a cubic potential with imaginary coupling. The result is resummed using variational perturbation theory, yielding an exponentially fast convergence.


Journal of Mathematical Physics | 2005

Large-D expansion from variational perturbation theory

Sebastian F. Brandt; Axel Pelster

We derive recursively the perturbation series for the ground-state energy of the D-dimensional anharmonic oscillator and resum it using variational perturbation theory (VPT). From the exponentially fast converging approximants, we extract the coefficients of the large-D expansion to higher orders. The calculation effort is much smaller than in the standard field-theoretic approach based on the Hubbard-Stratonovich transformation.


Physical Review D | 2005

Ghost busting: PT-symmetric interpretation of the Lee model

Carl M. Bender; Sebastian F. Brandt; Jun-Hua Chen; Wang Qing‐hai


Physical Review Letters | 2006

Synchronization from disordered driving forces in arrays of coupled oscillators.

Sebastian F. Brandt; Babette Dellen; Ralf Wessel


Biological Cybernetics | 2008

Distributed delays stabilize neural feedback systems

Ulrike Meyer; Jing Shao; Saurish Chakrabarty; Sebastian F. Brandt; Harald Luksch; Ralf Wessel

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Ralf Wessel

Washington University in St. Louis

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Axel Pelster

Kaiserslautern University of Technology

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Carl M. Bender

Washington University in St. Louis

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Jun-Hua Chen

Washington University in St. Louis

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Zohar Nussinov

Washington University in St. Louis

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Dihui Lai

University of Washington

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Jing Shao

University of Washington

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