Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Balázs Ujfalussy"'
Autor:
Philip Beck, Bendegúz Nyári, Lucas Schneider, Levente Rózsa, András Lászlóffy, Krisztián Palotás, László Szunyogh, Balázs Ujfalussy, Jens Wiebe, Roland Wiesendanger
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract One-dimensional systems comprising s-wave superconductivity with meticulously tuned magnetism realize topological superconductors hosting Majorana modes whose stability is determined by the gap size. However, for atomic spin chains on superc
Externí odkaz:
https://doaj.org/article/36507504c8234b2fb25e91439a760f1b
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 9, p e1000500 (2009)
A fundamental question in understanding neuronal computations is how dendritic events influence the output of the neuron. Different forms of integration of neighbouring and distributed synaptic inputs, isolated dendritic spikes and local regulation o
Externí odkaz:
https://doaj.org/article/3eb1416f6c6c4855893c687059789425
Autor:
Bendegúz Nyári, András Lászlóffy, László Szunyogh, Gábor Csire, Kyungwha Park, Balázs Ujfalussy
Publikováno v:
Phys. Rev. B
Digital.CSIC. Repositorio Institucional del CSIC
instname
Digital.CSIC. Repositorio Institucional del CSIC
instname
We present a fully relativistic first-principles-based theoretical approach for the calculation of the spectral properties of magnetic impurities on the surface of a superconducting substrate, providing a material specific framework for the investiga
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience.
Autor:
Balázs Ujfalussy, Lajos Vágó
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 1, p e1005922 (2018)
PLoS Computational Biology
PLoS Computational Biology
The neuronal code arising from the coordinated activity of grid cells in the rodent entorhinal cortex can uniquely represent space across a large range of distances, but the precise conditions for optimal coding capacity are known only for environmen
Publikováno v:
Neuron
Summary Dendrites integrate inputs nonlinearly, but it is unclear how these nonlinearities contribute to the overall input-output transformation of single neurons. We developed statistically principled methods using a hierarchical cascade of linear-n
Autor:
Jens P. Weber, Bertalan K. Andrasfalvy, Marina Polito, Judit K. Makara, Balázs Ujfalussy, Ádám Magó
Publikováno v:
Nature Communications
Nature Communications, Vol 7, Iss 1, Pp 1-14 (2016)
Nature Communications, Vol 7, Iss 1, Pp 1-14 (2016)
Nonlinear interactions between coactive synapses enable neurons to discriminate between spatiotemporal patterns of inputs. Using patterned postsynaptic stimulation by two-photon glutamate uncaging, here we investigate the sensitivity of synaptic Ca2+
Publikováno v:
Neuropharmacology. 52:733-743
Clinically most active anxiolytic drugs are positive allosteric modulators (PAMs) of GABAA receptors, represented by benzodiazepine compounds. Due to their non-selective profile, however, they potently modulate several sup-type specific GABAA recepto
Publikováno v:
eLife
eLife, Vol 4 (2015)
eLife, Vol 4 (2015)
Cortical neurons integrate thousands of synaptic inputs in their dendrites in highly nonlinear ways. It is unknown how these dendritic nonlinearities in individual cells contribute to computations at the level of neural circuits. Here, we show that d