#arxivfeed — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #arxivfeed, aggregated by home.social.
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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
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"Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular Dynamics"
https://arxiv.org/abs/2305.18046#MolecularDynamics #ComputationalModel #SurrogateModel #TimeScale #Simulation #DiffusionModel
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"Learning low-dimensional dynamics from whole-brain data improves task capture"
https://arxiv.org/abs/2305.14369#Neuroscience #ComputationalNeuroscience #MachineLearning #Neuroimaging #NeuralODE #DynamicalSystems #Cognition
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"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
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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
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"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
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"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
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"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
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"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
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"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
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"Neural network with optimal neuron activation functions based on additive Gaussian process regression"
https://arxiv.org/abs/2301.05567 -
"Seeking the Truth Beyond the Data. An Unsupervised Machine Learning Approach"
https://arxiv.org/abs/2207.06949 -
"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
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"Dynamic Bayesian Learning and Calibration of Spatiotemporal Mechanistic Systems"
https://arxiv.org/abs/2208.06528#DynamicalSystems #ModelCalibration #Bayesian #ParameterEstimation #GaussianProcess
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"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
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"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
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"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
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"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
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"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
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"GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions"
https://arxiv.org/abs/2206.05183#MachineLearning #DeepLearning #Variational #Autoencoder #DynamicalSystems
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"Auto-Encoding Variational Bayes"
https://arxiv.org/abs/1312.6114#MachineLearning #VariationalBayes #Bayesian #Inference #ProbabilisticModel #AutoEncoder #DeepLearning
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"NIT: an open-source tool for information theoretic analysis of neural population data"
https://www.biorxiv.org/content/10.1101/2022.12.11.519966v1#Neuroscience #Neuro #Brain #DataAnalysis #InformationTheory #TwoPhoton #CalciumImaging
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"Biologically plausible unsupervised learning in neural networks with sparse and asymmetric connectivity"
https://www.biorxiv.org/content/10.1101/2022.11.30.518534v1#MachineLearning #UnsupervisedLearning #NeuralNetworks #NeuroAI #BoltzmannMachines
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"A biology-inspired recurrent oscillator network for computations in high-dimensional state space"
https://www.biorxiv.org/content/10.1101/2022.11.29.518360v1#MachineLearning #DeepLearning #RecurrentNeuralNetwork #NeuroAI #Neuroscience #DynamicalSystems #UnsupervisedLearning #HebbainLearning
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"A Topological Deep Learning Framework for Neural Spike Decoding"
https://arxiv.org/abs/2212.05037#Neuroscience #Neuro #Brain #MachineLearning #DeepLearning #FeatureExtraction #SpikeTrains #GridCells #HeadDirectionCells
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"A Topological Deep Learning Framework for Neural Spike Decoding"
https://arxiv.org/abs/2212.05037#Neuroscience #Neuro #Brain #MachineLearning #DeepLearning #FeatureExtraction #SpikeTrains #GridCells #HeadDirectionCells
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"A Topological Deep Learning Framework for Neural Spike Decoding"
https://arxiv.org/abs/2212.05037#Neuroscience #Neuro #Brain #MachineLearning #DeepLearning #FeatureExtraction #SpikeTrains #GridCells #HeadDirectionCells
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"A Topological Deep Learning Framework for Neural Spike Decoding"
https://arxiv.org/abs/2212.05037#Neuroscience #Neuro #Brain #MachineLearning #DeepLearning #FeatureExtraction #SpikeTrains #GridCells #HeadDirectionCells
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"A Topological Deep Learning Framework for Neural Spike Decoding"
https://arxiv.org/abs/2212.05037#Neuroscience #Neuro #Brain #MachineLearning #DeepLearning #FeatureExtraction #SpikeTrains #GridCells #HeadDirectionCells
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"Get a new perspective on EEG: Convolutional neural network encoders for parametric t-SNE."
https://www.biorxiv.org/content/10.1101/2022.12.08.519691v1#Neuroscience #Neuro #Brain #Neuroimaging #EEG #DimensionalityReduction #tSNE #DeepLearning #NeuralNetworks
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"The mechanics underpinning non-deterministic computation in cortical neural networks"
https://www.biorxiv.org/content/10.1101/2022.12.03.518983v1#Neuroscience #Neuro #Brain #ComputationalNeuroscience #Computations
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"Random electrical noise drives non-deterministic computation in cortical neural networks"
https://www.biorxiv.org/content/10.1101/2022.12.03.518981v1#Neuroscience #Neuro #Brain #ComputationalNeuroscience #Computations
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"Modeling electron interference at the neuronal membrane yields a holographic projection of representative information content"
https://www.biorxiv.org/content/10.1101/2022.12.03.518989v1#Neuroscience #Neuro #Brain #ComputationalNeuroscience #Computations
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"A thermodynamical model of non-deterministic computation in cortical neural networks"
https://www.biorxiv.org/content/10.1101/2022.12.03.518978v1#Neuroscience #Neuro #Brain #ComputationalNeuroscience #Computations #ProbabilisticCoding #Thermodynamic #Hamiltonian
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"Complex spatiotemporal oscillations emerge from transverse instabilities in large-scale brain networks"
https://www.biorxiv.org/content/10.1101/2022.12.02.518809v1#Neurocience #Neuro #Brain #DynamicalSystems #WholeBrainModel #Simulations #Neuroimaging
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"Human voltage-gated Na+ and K+ channel properties underlie sustained fast AP signaling"
https://www.biorxiv.org/content/10.1101/2022.11.29.518317v1#Neuroscience #Neuro #Brain #Neurophysiology #Biophysics #Neuron #NeuronModel #Simulation #ActionPotential
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"Human voltage-gated Na+ and K+ channel properties underlie sustained fast AP signaling"
https://www.biorxiv.org/content/10.1101/2022.11.29.518317v1#Neuroscience #Neuro #Brain #Neurophysiology #Biophysics #Neuron #NeuronModel #Simulation #ActionPotential
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"Human voltage-gated Na+ and K+ channel properties underlie sustained fast AP signaling"
https://www.biorxiv.org/content/10.1101/2022.11.29.518317v1#Neuroscience #Neuro #Brain #Neurophysiology #Biophysics #Neuron #NeuronModel #Simulation #ActionPotential
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"Human voltage-gated Na+ and K+ channel properties underlie sustained fast AP signaling"
https://www.biorxiv.org/content/10.1101/2022.11.29.518317v1#Neuroscience #Neuro #Brain #Neurophysiology #Biophysics #Neuron #NeuronModel #Simulation #ActionPotential
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"Human voltage-gated Na+ and K+ channel properties underlie sustained fast AP signaling"
https://www.biorxiv.org/content/10.1101/2022.11.29.518317v1#Neuroscience #Neuro #Brain #Neurophysiology #Biophysics #Neuron #NeuronModel #Simulation #ActionPotential
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"Temporal characteristics of gamma rhythm constrain properties of noise in an inhibition-stabilized network model"
https://www.biorxiv.org/content/10.1101/2022.11.23.517655v1#Neuroscience #Neuro #Brain #ComputationalNeuroscience #VisualSystem #DynamicalSystems
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"Spatially-embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings"
https://www.biorxiv.org/content/10.1101/2022.11.17.516914v1#Neuroscience #Neuro #Brain #NeuralNetwork #RNN #Connectivity #StructuralConnectivity #FunctionalConnectivity
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"Spatially-embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings"
https://www.biorxiv.org/content/10.1101/2022.11.17.516914v1#Neuroscience #Neuro #Brain #NeuralNetwork #RNN #Connectivity #StructuralConnectivity #FunctionalConnectivity
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"Spatially-embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings"
https://www.biorxiv.org/content/10.1101/2022.11.17.516914v1#Neuroscience #Neuro #Brain #NeuralNetwork #RNN #Connectivity #StructuralConnectivity #FunctionalConnectivity
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"Spatially-embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings"
https://www.biorxiv.org/content/10.1101/2022.11.17.516914v1#Neuroscience #Neuro #Brain #NeuralNetwork #RNN #Connectivity #StructuralConnectivity #FunctionalConnectivity
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"Spatially-embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings"
https://www.biorxiv.org/content/10.1101/2022.11.17.516914v1#Neuroscience #Neuro #Brain #NeuralNetwork #RNN #Connectivity #StructuralConnectivity #FunctionalConnectivity
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"Improved high-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors"
https://www.biorxiv.org/content/10.1101/2022.11.18.516669v1#Neuroscience #Neuro #Brain #Network #Neuroimaging #Connectivity #MVAR #fMRI #iEEG #EEG
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"High-resolution image reconstruction with latent diffusion models from human brain activity"
https://www.biorxiv.org/content/10.1101/2022.11.18.517004v1#Neuroscience #Neuro #Brain #Neuroimaging #fMRI #MachineLearning #DiffusionModel #VisualSystem #Vision
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"Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training"
https://arxiv.org/abs/2211.09954#MachineLearning #DeepLearning #SurrogateModels #AdversarialTraining #UncertaintyQuantification #Simulation