https://www.preprints.org/manuscript/201708.0016
We study latching dynamics in the adaptive Potts model network, through numerical simulations with randomly and also weakly correlated patterns, and we focus...
lifeedgelatchingdynamicspotts
https://deepai.org/publication/forecasting-of-spatio-temporal-chaotic-dynamics-with-recurrent-neural-networks-a-comparative-study-of-reservoir-computing-and-backpropagation-algorithms
10/09/19 - How effective are Recurrent Neural Networks (RNNs) in forecasting the spatiotemporal dynamics of chaotic systems ? We address this...
recurrent neural networkschaotic dynamicsforecastingtemporal
https://openreview.net/forum?id=ZloyP0nmcc&referrer=%5Bthe%20profile%20of%20Scott%20Linderman%5D(%2Fprofile%3Fid%3D~Scott_Linderman1)
Recent work indicates that low-dimensional dynamics of neural and behavioral data are often preserved across days and subjects. However, extracting these...
extractingtaskrelevantpreserveddynamics
https://deepai.org/publication/universality-and-individuality-in-neural-dynamics-across-large-populations-of-recurrent-networks
07/19/19 - Task-based modeling with recurrent neural networks (RNNs) has emerged as a popular way to infer the computational function of diff...
neural dynamicsuniversalityindividualityacrosslarge
https://neurosciencenews.com/neurodynamics-neuroimaging-25699/
Researchers have developed a groundbreaking "nanosheet incorporated into light-curable resin" (NIRE) method, enabling unprecedented large-scale and long-term...
new windowneural dynamicsneuroscience news
https://deepai.org/publication/mixed-effects-neural-ode-a-variational-approximation-for-analyzing-the-dynamics-of-panel-data
02/18/22 - Panel data involving longitudinal measurements of the same set of participants taken over multiple time points is common in studie...
neural odemixedeffectsvariationalapproximation
https://deepai.org/publication/learning-topology-and-dynamics-of-large-recurrent-neural-networks
10/05/14 - Large-scale recurrent networks have drawn increasing attention recently because of their capabilities in modeling a large variety ...
recurrent neural networkslearningtopologydynamicslarge
https://pubmed.ncbi.nlm.nih.gov/28903495/
Lead (Pb) is a well-known toxicant, especially for the developing nervous system, albeit the mechanism is largely unknown. In this study, we use time series...
rna seqprogenitor cellshumanneuralexposed
https://elifesciences.org/articles/83035/figures
Synaptic modulations alone imbue networks with computational capabilities comparable to recurrent connections on several neuroscience-relevant tasks, which...
neural populationfiguresdatadynamicscomputing
https://elifesciences.org/articles/41861/peer-reviews
Neural dynamics during prior experience-guided visual ambiguity resolution reveal early stimulus-feature processing and late content-specific recognition...
peer reviewneural dynamicsambiguity resolutionvisual
https://www.jove.com/he/v/59898/a-method-for-tracking-time-evolution-steady-state-evoked
This study presents a protocol to analyze neural entrainment dynamics using steady-state EEG recordings from repetitive stimuli.
assessingneuralentrainmentdynamicsjove
https://pubmed.ncbi.nlm.nih.gov/24949967/?dopt=Abstract
Social interaction is a complex behavior essential for many species and is impaired in major neuropsychiatric disorders. Pharmacological studies have...
social behaviornaturalneuralprojectiondynamics
https://deepai.org/publication/deep-neural-networks-predict-hierarchical-spatio-temporal-cortical-dynamics-of-human-visual-object-recognition
01/12/16 - The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition...
deep neural networkspredicthierarchicaltemporalcortical
https://openreview.net/forum?id=1RUVdnJeZZ_&referrer=%5Bthe%20profile%20of%20Xin%20Xu%5D(%2Fprofile%3Fid%3D~Xin_Xu9)
Skeleton-based human action recognition is becoming increasingly important in a variety of fields. Most existing works train a CNN or GCN based backbone to...
neuralkoopmanpoolingcontrolinspired
https://www.kumc.edu/school-of-medicine/academics/departments/neurosurgery/research/precision-neural-dynamics-lab.html/
Information about the Precision Neural Dynamics Lab, Department of Neurosurgery, University of Kansas Medical Center.
neural dynamicsprecisionlab
https://alleninstitute.org/division/neural-dynamics/
Jun 6, 2025 - Exploring the brain’s activity, at the level of individual neurons and the whole brain, to reveal how we interpret our environments to make decisions.
neural dynamicsallen institute
https://openreview.net/forum?id=rCnZrFikX6&referrer=%5Bthe%20profile%20of%20Sebastian%20Zeng%5D(%2Fprofile%3Fid%3D~Sebastian_Zeng1)
We consider the problem of learning the dynamics in the topology of time-evolving point clouds, the prevalent spatiotemporal model for systems exhibiting...
neuralpersistencedynamicsopenreview
https://openreview.net/forum?id=IdVSglWEQh&referrer=%5Bthe%20profile%20of%20Wulfram%20Gerstner%5D(%2Fprofile%3Fid%3D~Wulfram_Gerstner1)
The brain needs to predict how the body reacts to motor commands, but how a network of spiking neurons can learn non-linear body dynamics using local, online...
non linearpredictingdynamicsstablelocal
https://search.usi.ch/en/projects/2517
Complex biological, man-made systems and social relationships can be formalized as graphs (networks), with graphs being rich representations accounting for...
graph neural networkshigherorderrelationsdynamics
https://openreview.net/forum?id=ap71o6yXUQ
Deep learning practitioners typically rely on training and validation loss curves to understand neural network training dynamics. This blog post demonstrates...
neural networksvisualizetrainingdynamicsopenreview