Theoretical Neuroscience
Theoretical neuroscience is an umbrella term for all the ideas and debates, conceptual, mathematical, computational, philosophical, about how the brain might work. This stream collects original research and popular science articles on related themes.
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Universal dynamics of spatiotemporal entrainment with phase symmetry
We study the entrainment of a localized pattern to an external signal via its coupling to zero modes associated with broken…
Correlations of tensor field components in isotropic systems with an…
Correlation functions of components of second-order tensor fields in isotropic systems can be reduced to an isotropic…
Carnot, Stirling, and Ericsson stochastic heat engines: Efficiency at…
This work uses the low-dissipation strategy to obtain efficiency at maximum power from a stochastic heat engine performing…
Symmetries of many-body systems imply distance-dependent potentials
Considering an interatomic potential $U(\mathbf{q})$, where…
Connectivity reveals homology between the visual systems of the human…
The visual systems of humans and nonhuman primates share many similarities in both anatomical and functional organization.…
Using AI to fight climate change
AI is a powerful technology that will transform our future, so how can we best apply it to help combat climate change and find…
Google DeepMind’s latest research at ICML 2023
Google DeepMind researchers are presenting more than 80 new papers at the 40th International Conference on Machine Learning (ICML…
Organizing memories for generalization in complementary learning…
Memorization and generalization are complementary cognitive processes that jointly promote adaptive behavior. For example,…
Indirect reciprocity with stochastic and dual reputation updates
Author summary Indirect reciprocity is a mechanism for cooperation based on social norms. The respective field explores which…
Ten quick tips for bioinformatics analyses using an Apache Spark…
Some scientific studies involve huge amounts of bioinformatics data that cannot be analyzed on personal computers usually…
Risk averse reproduction numbers improve resurgence detection
Author summary How can we meaningfully summarise the transmission dynamics of an infectious disease? This question, although…
Functional brain network features specify DBS outcome for patients…
Deep brain stimulation (DBS) has shown therapeutic benefits for treatment resistant depression (TRD). Stimulation of the…
EEG Decoding Reveals Neural Predictions for Naturalistic Material…
Material properties, such as softness or stickiness, determine how an object can be used. Based on our real-life experience, we…
Dimensionality and Ramping: Signatures of Sentence Integration in the…
A sentence is more than the sum of its words: its meaning depends on how they combine with one another. The brain mechanisms…
Dynamical independence: Discovering emergent macroscopic processes in…
We introduce a notion of emergence for macroscopic variables associated with highly multivariate microscopic dynamical processes.…
Large deviations of the interface height in the Golubović-Bruinsma…
We study large deviations of the one-point height $H$ of a stochastic interface, governed by the Golubovi\ifmmode \acute{c}\else…
Study of the de Almeida–Thouless line in the one-dimensional diluted…
We study the de Almeida--Thouless (AT) line in the one-dimensional power-law diluted $XY$ spin-glass model, in which the…
Rectangular multiple-relaxation-time lattice Boltzmann method for the…
In this paper, we develop a general rectangular multiple-relaxation-time lattice Boltzmann (RMRT-LB) method for the Navier-Stokes…
Stability of the modulator in a plasma-modulated plasma accelerator
Laser-plasma accelerators can provide a compact method for acceleration of particles. The authors of this paper derive a…
Flow patterns and defect dynamics of active nematic liquid crystals…
The effects of an electric field on the flow patterns and defect dynamics of two-dimensional active nematic liquid crystals are…
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