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#cs

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📰 "Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks"
arxiv.org/abs/2411.06802 #Cond-Mat.Dis-Nn #Q-Bio.Nc #Dynamics #Cs.Ne #Cell

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arXiv.orgIdentifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networksNetworks of excitatory and inhibitory (EI) neurons form a canonical circuit in the brain. Seminal theoretical results on dynamics of such networks are based on the assumption that synaptic strengths depend on the type of neurons they connect, but are otherwise statistically independent. Recent synaptic physiology datasets however highlight the prominence of specific connectivity patterns that go well beyond what is expected from independent connections. While decades of influential research have demonstrated the strong role of the basic EI cell type structure, to which extent additional connectivity features influence dynamics remains to be fully determined. Here we examine the effects of pairwise connectivity motifs on the linear dynamics in EI networks using an analytical framework that approximates the connectivity in terms of low-rank structures. This low-rank approximation is based on a mathematical derivation of the dominant eigenvalues of the connectivity matrix and predicts the impact on responses to external inputs of connectivity motifs and their interactions with cell-type structure. Our results reveal that a particular pattern of connectivity, chain motifs, have a much stronger impact on dominant eigenmodes than other pairwise motifs. An overrepresentation of chain motifs induces a strong positive eigenvalue in inhibition-dominated networks and generates a potential instability that requires revisiting the classical excitation-inhibition balance criteria. Examining effects of external inputs, we show that chain motifs can on their own induce paradoxical responses where an increased input to inhibitory neurons leads to a decrease in their activity due to the recurrent feedback. These findings have direct implications for the interpretation of experiments in which responses to optogenetic perturbations are measured and used to infer the dynamical regime of cortical circuits.

Today’s cutting-edge innovations in #CS are powered by the electronic engineering of the 2020s.

The programming languages and software techniques that now run the technology sector were sired by CS research from the 1990s.

Its prominance notwithstanding, though, CS is a very young field, having matured into an independent discipline only in the 1960s.

It was born relatively recently, in the 1930s, as a subfield of mathematics.

And when—rather, if—society transitions to quantum computing, a good portion of CS will be based on physics of the 1900s.

#TVPSport niedawno pisalo o "intensywnym okresie" #LegiaWarszawa, czyli TRZECH spotkaniach w ciagu 7 dni, o czym pisal @smatyszczak - pol.social/@smatyszczak/114139 (oczywiscie nalezy do tego doliczyc treningi, itp.)

Tymczasem, 4 ostatnie dni #CS-owej ekipy #fnatic - 12 spotkan BO3 (czyli minimum 2 godziny na kazde, maksimum... 3h+ bo ewentualne dogrywki) 🙃 plus rowniez czas poswiecony na treningi

#esport #CS2 #fnatic #sport #football #PilkaNozna @esport

📰 "Cell as Point: One-Stage Framework for Efficient Cell Tracking"
arxiv.org/abs/2411.14833 #CellDivision #Q-Bio.Qm #Eess.Iv #Cs.Cv #Cell

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arXiv.orgCell as Point: One-Stage Framework for Efficient Cell TrackingConventional multi-stage cell tracking approaches rely heavily on detection or segmentation in each frame as a prerequisite, requiring substantial resources for high-quality segmentation masks and increasing the overall prediction time. To address these limitations, we propose CAP, a novel end-to-end one-stage framework that reimagines cell tracking by treating Cell as Point. Unlike traditional methods, CAP eliminates the need for explicit detection or segmentation, instead jointly tracking cells for sequences in one stage by leveraging the inherent correlations among their trajectories. This simplification reduces both labeling requirements and pipeline complexity. However, directly processing the entire sequence in one stage poses challenges related to data imbalance in capturing cell division events and long sequence inference. To solve these challenges, CAP introduces two key innovations: (1) adaptive event-guided (AEG) sampling, which prioritizes cell division events to mitigate the occurrence imbalance of cell events, and (2) the rolling-as-window (RAW) inference strategy, which ensures continuous and stable tracking of newly emerging cells over extended sequences. By removing the dependency on segmentation-based preprocessing while addressing the challenges of imbalanced occurrence of cell events and long-sequence tracking, CAP demonstrates promising cell tracking performance and is 10 to 55 times more efficient than existing methods. The code and model checkpoints will be available soon.

Over the past quarter century, the #CS programmes at the ordinary US colleges have been busy pumping out coders for the #IT industry. Only those kids who get into the top colleges receive solid theoretical foundation. There are obvious, short-term gains aplenty: the colleges get tuition fees; the industry gets their cheap drones; the kids get their immediate employment. But this strategy has hidden, long-term deleterious effects upon all involved.

In my view, the CS curricula ought to focus on "moulding future computer scientists" who know well both theory and practice, and leave the task of "stamping out generate-first, ask questions never coders" to those week-long coding camps.

walknews.com/814346/ 村上雅則さんもゲストで登場!東武特急「りょうもう」がMLBカラーに変身、浅草駅から出発進行 – 鉄道チャンネル #546 #Ch546 #CS #Sports #スカパー #スポーツ #チャンネル #前面展望 #村上雅則さんもゲストで登場!東武特急「りょうもう」がMLBカラーに変身、浅草駅から出発進行 #鉄道 #鉄道コラム #鉄道チャンネル #鉄道ニュース #電車

📰 "Treatment of Wall Boundary Conditions in High-Order Compact Gas-Kinetic Schemes"
arxiv.org/abs/2503.04493 #Physics.Comp-Ph #Dynamics #Math.Na #Cs.Na #Cell

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arXiv.orgTreatment of Wall Boundary Conditions in High-Order Compact Gas-Kinetic SchemesThe boundary layer represents a fundamental structure in fluid dynamics, where accurate boundary discretization significantly enhances computational efficiency. This paper presents a third-order boundary discretization for compact gas-kinetic scheme (GKS). Wide stencils and curved boundaries pose challenges in the boundary treatment for high-order schemes, particularly for temporal accuracy. By utilizing a time-dependent gas distribution function, the GKS simultaneously evaluates fluxes and updates flow variables at cell interfaces, enabling the concurrent update of cell-averaged flow variables and their gradients within the third-order compact scheme. The proposed one-sided discretization achieves third-order spatial accuracy on boundary cells by utilizing updated flow variables and gradients in the discretization for non-slip wall boundary conditions. High-order temporal accuracy on boundary cells is achieved through the GKS time-dependent flux implementation with multi-stage multi-derivative methodology. Additionally, we develop exact no-penetration conditions for both adiabatic and isothermal wall boundaries, with extensions to curved mesh geometries to fully exploit the advantages of high-order schemes. Comparative analysis between the proposed one-sided third-order boundary scheme, third-order boundary scheme with ghost cells, and second-order boundary scheme demonstrates significant performance differences for the third-order compact GKS. Results indicate that lower-order boundary cell treatments yield substantially inferior results, while the proposed third-order treatment demonstrates superior performance, particularly on coarse grid configurations.

📰 "A linearly-implicit energy preserving scheme for geometrically nonlinear mechanics based on non-canonical Hamiltonian formulations"
arxiv.org/abs/2503.04695 #Physics.Comp-Ph #Mechanics #Dynamics #Math.Na #Matrix #Cs.Na

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arXiv.orgA linearly-implicit energy preserving scheme for geometrically nonlinear mechanics based on non-canonical Hamiltonian formulationsThis work presents a novel formulation and numerical strategy for the simulation of geometrically nonlinear structures. First, a non-canonical Hamiltonian (Poisson) formulation is introduced by including the dynamics of the stress tensor. This framework is developed for von-Kármán nonlinearities in beams and plates, as well as finite strain elasticity with Saint-Venant material behavior. In the case of plates, both negligible and non-negligible membrane inertia are considered. For the former case the two-dimensional elasticity complex is leveraged to express the dynamics in terms of the Airy stress function. The finite element discretization employs a mixed approach, combining a conforming approximation for displacement and velocity fields with a discontinuous stress tensor representation. A staggered, linear implicit time integration scheme is proposed, establishing connections with existing explicit-implicit energy-preserving methods. The stress degrees of freedom are statically condensed, reducing the computational complexity to solving a system with a positive definite matrix. The methodology is validated through numerical experiments on the Duffing oscillator, a von-Kármán beam, and a column undergoing finite strain elasticity. Comparisons with fully implicit energy-preserving method and the explicit Newmark scheme demonstrate that the proposed approach achieves superior accuracy while maintaining energy stability. Additionally, it enables larger time steps compared to explicit schemes and exhibits computational efficiency comparable to the leapfrog method.

Does anyone have an electronic copy of the CMU tech report of Michael Wayne Young Ph.D. thesis
"Exporting a User Interface to Memory Management from a Communication-Oriented Operating System"?

This is CMU technical report CMU-CS-89-202. The CMU tech report server has no entries for 1989...

#CS#Mach#OS