#arxivfeed — Public Fediverse posts

In the same vein as my #arxivfeed thing, here's a paper that I've been reading and really enjoying. I decided to spend more time on it than I usually do when reading papers because I wanted to search for gaps in my knowledge, and I really don't regret that decision! I'm only at the 4th section at the moment and I find it very well written, especially in the framing of things. So far it's a great overview!

"Neural Field Models: A mathematical overview and unifying framework"
https://arxiv.org/abs/2103.10554v4

#Neuroscience #ComputationalNeuroscience #MathematicalNeuroscience #NeuralFieldModelling #Biophysical #DynamicalSystems

In the same vein as my #arxivfeed thing, here's a paper that I've been reading and really enjoying. I decided to spend more time on it than I usually do when reading papers because I wanted to search for gaps in my knowledge, and I really don't regret that decision! I'm only at the 4th section at the moment and I find it very well written, especially in the framing of things. So far it's a great overview!

"Neural Field Models: A mathematical overview and unifying framework"
https://arxiv.org/abs/2103.10554v4

#Neuroscience #ComputationalNeuroscience #MathematicalNeuroscience #NeuralFieldModelling #Biophysical #DynamicalSystems

#arxivfeed

"JGAT: a joint spatio-temporal graph attention model for brain decoding"
https://arxiv.org/abs/2306.05286

#Neuroscience #Neuroimaging #ComputationalNeuroscience #Connectivity #MachineLearning #ML

#arxivfeed

"JGAT: a joint spatio-temporal graph attention model for brain decoding"
https://arxiv.org/abs/2306.05286

#Neuroscience #Neuroimaging #ComputationalNeuroscience #Connectivity #MachineLearning #ML

#arxivfeed

"Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular Dynamics"
https://arxiv.org/abs/2305.18046

#MolecularDynamics #ComputationalModel #SurrogateModel #TimeScale #Simulation #DiffusionModel

#arxivfeed

"Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular Dynamics"
https://arxiv.org/abs/2305.18046

#MolecularDynamics #ComputationalModel #SurrogateModel #TimeScale #Simulation #DiffusionModel

#arxivfeed

"Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention"
https://www.biorxiv.org/content/10.1101/2023.05.27.542583v1

#Neuroscience #Neuroimaging #EEG #fMRI #Oscillations #Attention

#arxivfeed

"Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention"
https://www.biorxiv.org/content/10.1101/2023.05.27.542583v1

#Neuroscience #Neuroimaging #EEG #fMRI #Oscillations #Attention

#arxivfeed

"Learning low-dimensional dynamics from whole-brain data improves task capture"
https://arxiv.org/abs/2305.14369

#Neuroscience #ComputationalNeuroscience #MachineLearning #Neuroimaging #NeuralODE #DynamicalSystems #Cognition

#arxivfeed

"Learning low-dimensional dynamics from whole-brain data improves task capture"
https://arxiv.org/abs/2305.14369

#Neuroscience #ComputationalNeuroscience #MachineLearning #Neuroimaging #NeuralODE #DynamicalSystems #Cognition

#arxivfeed

"Genuine beta bursts in human working memory: controlling for the influence of lower-frequency rhythms"
https://www.biorxiv.org/content/10.1101/2023.05.26.542448v1

#Neuroscience #Neuroimaging #EEG #BetaBursts #Oscillations #WorkingMemory

#arxivfeed

"Genuine beta bursts in human working memory: controlling for the influence of lower-frequency rhythms"
https://www.biorxiv.org/content/10.1101/2023.05.26.542448v1

#Neuroscience #Neuroimaging #EEG #BetaBursts #Oscillations #WorkingMemory

#arxivfeed

"Distinct excitability of thalamocortical neurons correlates with the presence of cerebellar afferents"
https://www.biorxiv.org/content/10.1101/2023.05.26.542536v1

#Neuroscience #Electrophysiology #Cerebellum #Thalamocortical #MovementDisorders

#arxivfeed

"Distinct excitability of thalamocortical neurons correlates with the presence of cerebellar afferents"
https://www.biorxiv.org/content/10.1101/2023.05.26.542536v1

#Neuroscience #Electrophysiology #Cerebellum #Thalamocortical #MovementDisorders

#arxivfeed

"Probabilistic Exponential Integrators"
https://arxiv.org/abs/2305.14978

#NumericalModelling #NumericalAnalysis #DynamicalSystems

#arxivfeed

"Probabilistic Exponential Integrators"
https://arxiv.org/abs/2305.14978

#NumericalModelling #NumericalAnalysis #DynamicalSystems

After a long break, new #arxivfeed

"Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation"
https://arxiv.org/abs/2305.15208

#BayesianInference #MachineLearning #Modelling #SBI #ComputationalNeuroscience

After a long break, new #arxivfeed

"Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation"
https://arxiv.org/abs/2305.15208

#BayesianInference #MachineLearning #Modelling #SBI #ComputationalNeuroscience

#arxivfeed

"Structural and neurophysiological alterations in Parkinson's disease are aligned with cortical neurochemical systems"
https://www.medrxiv.org/content/10.1101/2023.04.04.23288137v1

#Neuroscience #Multimodal #Neuroimaging #MEG #Neurochemical #Parkinsons

Incredible work, as always!

#arxivfeed

"Structural and neurophysiological alterations in Parkinson's disease are aligned with cortical neurochemical systems"
https://www.medrxiv.org/content/10.1101/2023.04.04.23288137v1

#Neuroscience #Multimodal #Neuroimaging #MEG #Neurochemical #Parkinsons

Incredible work, as always!

#arxivfeed

"Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias"
https://www.biorxiv.org/content/10.1101/2023.03.10.532087v1

#Neuroscience #ComputationalNeuroscience #DynamicalModels #DynamicalSystems #Neuroimaging #neurodegeneration #TheVirtualBrain

#arxivfeed

"Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias"
https://www.biorxiv.org/content/10.1101/2023.03.10.532087v1

#Neuroscience #ComputationalNeuroscience #DynamicalModels #DynamicalSystems #Neuroimaging #neurodegeneration #TheVirtualBrain

#Arxivfeed :

"Simulation-based inference for efficient identification of generative models in connectomics"
https://www.biorxiv.org/content/10.1101/2023.01.31.526269v1

#Neuroscience #ComputationalNeuroscience #MachineLearning #SimulationBasedInference #Inference #Connectome #Connectivity

#Arxivfeed :

"Simulation-based inference for efficient identification of generative models in connectomics"
https://www.biorxiv.org/content/10.1101/2023.01.31.526269v1

#Neuroscience #ComputationalNeuroscience #MachineLearning #SimulationBasedInference #Inference #Connectome #Connectivity

#arxivfeed :

"Neurophysiological signatures of cortical micro-architecture"
https://www.biorxiv.org/content/10.1101/2023.01.23.525101v1

#Neuroscience #Neuro #ComputationalNeuroscience #Multimodal #Neuroimaging #Neurophysiology

Wonderful work!

#arxivfeed :

"Neurophysiological signatures of cortical micro-architecture"
https://www.biorxiv.org/content/10.1101/2023.01.23.525101v1

#Neuroscience #Neuro #ComputationalNeuroscience #Multimodal #Neuroimaging #Neurophysiology

Wonderful work!

#arxivfeed :

"Neural network with optimal neuron activation functions based on additive Gaussian process regression"
https://arxiv.org/abs/2301.05567

#MachineLearning #DeepLearning #GaussianProcess

#arxivfeed :

"Neural network with optimal neuron activation functions based on additive Gaussian process regression"
https://arxiv.org/abs/2301.05567

#MachineLearning #DeepLearning #GaussianProcess

#arxivfeed :

"Langevin algorithms for Markovian Neural Networks and Deep Stochastic control"
https://arxiv.org/abs/2212.12018

#MachineLearning #DeepLearning #ControlTheory #Optimization #DifferentialEquations

#arxivfeed :

"Langevin algorithms for Markovian Neural Networks and Deep Stochastic control"
https://arxiv.org/abs/2212.12018

#MachineLearning #DeepLearning #ControlTheory #Optimization #DifferentialEquations

#arxivfeed :

"How Occam's razor guides human decision-making"
https://www.biorxiv.org/content/10.1101/2023.01.10.523479v1

#Neuroscience #Neuro #Modelling #DecisionMaking #MachineLearning #DeepLearning

#arxivfeed :

"How Occam's razor guides human decision-making"
https://www.biorxiv.org/content/10.1101/2023.01.10.523479v1

#Neuroscience #Neuro #Modelling #DecisionMaking #MachineLearning #DeepLearning

#arxivfeed :

"Mesoscopic modeling of hidden spiking neurons"
https://arxiv.org/abs/2205.13493

#Neuroscience #Neuro #ComputationalNeuroscience #MachineLearning #SpikingNeuralNetworks

#arxivfeed :

"Mesoscopic modeling of hidden spiking neurons"
https://arxiv.org/abs/2205.13493

#Neuroscience #Neuro #ComputationalNeuroscience #MachineLearning #SpikingNeuralNetworks

#arxivfeed :

"Seeking the Truth Beyond the Data. An Unsupervised Machine Learning Approach"
https://arxiv.org/abs/2207.06949

#MachineLearning #UnsupervisedLearning #Clustering

#arxivfeed :

"Seeking the Truth Beyond the Data. An Unsupervised Machine Learning Approach"
https://arxiv.org/abs/2207.06949

#MachineLearning #UnsupervisedLearning #Clustering

#arxivfeed :

"DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting"
https://arxiv.org/abs/2301.02332

#MachineLearning #DeepLearning #TimeSeries #Forecasting #NeuralNetworks

#arxivfeed :

"DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting"
https://arxiv.org/abs/2301.02332

#MachineLearning #DeepLearning #TimeSeries #Forecasting #NeuralNetworks

#arxivfeed :

"Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks"
https://www.biorxiv.org/content/10.1101/2023.01.05.522909v1

#Neuroscience #Neuro #ComputationalNeuroscience #Vision #MachineLearning #DeepLearning #ConvolutionalNeuralNetworks

#arxivfeed :

"Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks"
https://www.biorxiv.org/content/10.1101/2023.01.05.522909v1

#Neuroscience #Neuro #ComputationalNeuroscience #Vision #MachineLearning #DeepLearning #ConvolutionalNeuralNetworks

#arxivfeed :

"Dynamic Bayesian Learning and Calibration of Spatiotemporal Mechanistic Systems"
https://arxiv.org/abs/2208.06528

#DynamicalSystems #ModelCalibration #Bayesian #ParameterEstimation #GaussianProcess

#arxivfeed :

"Dynamic Bayesian Learning and Calibration of Spatiotemporal Mechanistic Systems"
https://arxiv.org/abs/2208.06528

#DynamicalSystems #ModelCalibration #Bayesian #ParameterEstimation #GaussianProcess

#arxivfeed :

"Plasticity Neural Network Based on Astrocytic effects at Critical Period, Synaptic Competition and Strength Rebalance by Current and Mnemonic Brain Plasticity and Synapse Formation"
https://arxiv.org/abs/2203.11740

#MachineLearning #NeuroAI #NeuralNetworks #Synapse #Plasticity

#arxivfeed :

"Plasticity Neural Network Based on Astrocytic effects at Critical Period, Synaptic Competition and Strength Rebalance by Current and Mnemonic Brain Plasticity and Synapse Formation"
https://arxiv.org/abs/2203.11740

#MachineLearning #NeuroAI #NeuralNetworks #Synapse #Plasticity

#arxivfeed :

"CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis"
https://arxiv.org/abs/2301.01642

#Neuroscience #Neuro #ComputationalNeuroscience #MachineLearning #GraphNeuralNetworks #Psychiatry #FunctionalConnectivity #CausalInference

#arxivfeed :

"CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis"
https://arxiv.org/abs/2301.01642

#Neuroscience #Neuro #ComputationalNeuroscience #MachineLearning #GraphNeuralNetworks #Psychiatry #FunctionalConnectivity #CausalInference

#arxivfeed :

"Intrinsic Motivation in Dynamical Control Systems"
https://arxiv.org/abs/2301.00005

#DynamicalSystems
#ControlTheory #MachineLearning #ArtificialIntelligence

#arxivfeed :

"Intrinsic Motivation in Dynamical Control Systems"
https://arxiv.org/abs/2301.00005

#DynamicalSystems
#ControlTheory #MachineLearning #ArtificialIntelligence

#arxivfeed :

"Inhibition stabilization and paradoxical effects in recurrent neural networks with short-term plasticity"
https://www.biorxiv.org/content/10.1101/2022.12.19.520986v1

#Neuroscience #Neuro #Brain #ComputationalNeuroscience #DynamicalSystems #Plasticity

#arxivfeed :

"Inhibition stabilization and paradoxical effects in recurrent neural networks with short-term plasticity"
https://www.biorxiv.org/content/10.1101/2022.12.19.520986v1

#Neuroscience #Neuro #Brain #ComputationalNeuroscience #DynamicalSystems #Plasticity

#arxivfeed :

"Multi-modal and multi-model interrogation of large-scale functional brain networks"
https://www.biorxiv.org/content/10.1101/2022.12.19.520967v1

#Neuroscience #Neuro #Brain #Neuroimaging #fMRI #MEG #ComputationalNeuroscience #DynamicalSystems #WholeBrainModel #Connectivity

#arxivfeed :

"Multi-modal and multi-model interrogation of large-scale functional brain networks"
https://www.biorxiv.org/content/10.1101/2022.12.19.520967v1

#Neuroscience #Neuro #Brain #Neuroimaging #fMRI #MEG #ComputationalNeuroscience #DynamicalSystems #WholeBrainModel #Connectivity

#arxivfeed :

"Redefining the connectome: A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity"
https://www.biorxiv.org/content/10.1101/2022.12.19.519033v1

#Neuroscience #Neuro #Brain #Neuroimaging #Connectome #Connectivity #Networks

#arxivfeed :

"Redefining the connectome: A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity"
https://www.biorxiv.org/content/10.1101/2022.12.19.519033v1

#Neuroscience #Neuro #Brain #Neuroimaging #Connectome #Connectivity #Networks

#arxivfeed :

"GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions"
https://arxiv.org/abs/2206.05183

#MachineLearning #DeepLearning #Variational #Autoencoder #DynamicalSystems

#arxivfeed :

"GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions"
https://arxiv.org/abs/2206.05183

#MachineLearning #DeepLearning #Variational #Autoencoder #DynamicalSystems

#arxivfeed :

"Deep Riemannian Networks for EEG Decoding"
https://arxiv.org/abs/2212.10426

#Neuroscience #Neuro #Brain #Neuroimaging #EEG #MachineLearning #DeepLearning

#arxivfeed :

"Deep Riemannian Networks for EEG Decoding"
https://arxiv.org/abs/2212.10426

#Neuroscience #Neuro #Brain #Neuroimaging #EEG #MachineLearning #DeepLearning

#arxivfeed :

"Auto-Encoding Variational Bayes"
https://arxiv.org/abs/1312.6114

#MachineLearning #VariationalBayes #Bayesian #Inference #ProbabilisticModel #AutoEncoder #DeepLearning

#arxivfeed :

"Auto-Encoding Variational Bayes"
https://arxiv.org/abs/1312.6114

#MachineLearning #VariationalBayes #Bayesian #Inference #ProbabilisticModel #AutoEncoder #DeepLearning