On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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4 results for “interneurons”

Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptationq-bio.NC

Interneurons improve learning in neural networks by accelerating convergence.

problem Rapid adaptation to changing input statistics in neural networks.

method Two mathematically tractable recurrent linear neural networks were compared: one with direct recurrent connections and the other with interneurons that mediate recurrent communication.

result The network with interneurons converges more quickly than the network with direct recurrent connections, scaling logarithmically with initialization spectrum.

neural networks interneurons statistical adaptation overparameterization convergence time

2022-09-21abs ↗pdf ↗

Analysis of Estimating the Bayes Rule for Gaussian Mixture Models with a Specified Missing-Data Mechanismstat.ML

Paper explores Bayes rule for Gaussian mixtures with missing data, outperforming supervised classifiers.

problem Improving classification accuracy in partially classified samples with missing data.

method Generative model framework with missing-data mechanism, Bayes rule allocation.

result Bayes rule classifier with missing-data mechanism outperforms fully supervised classifiers in various conditions.

Bayes rule Gaussian mixture models missing data semi-supervised learning classification accuracy

2022-10-25abs ↗pdf ↗

Differential Dynamic Causal Nets: Model Construction, Identification and Group Comparisonsq-bio.NC

Novel approach constructs differential causal networks from EEG data.

problem Difficulty in modeling interactions of thousands of neurons in group comparisons.

method Hierarchical differential dynamic causal nets based on Chen-Fliess expansions.

result Evidence of network functional disruptions in epileptic brains.

differential dynamic causal nets EEG data epilepsy neural systems mixed-effects model

2026-01-29abs ↗pdf ↗

Inference with correlated priors using sisters cellsq-bio.NC

A novel circuit motif uses sister cells for inference with correlated priors.

problem Structured priors in neural systems pose architectural challenges.

method Proposes a novel circuit motif using sister cells to implement correlated priors without direct interactions.

result Demonstrates the efficacy of correlated priors for inference in noisy environments.

sister cells correlated priors neural inference olfactory bulb latent causes

2025-05-20abs ↗pdf ↗