"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 #neuroscience #computationalneuroscience #dynamicalmodels #dynamicalsystems #neuroimaging #neurodegeneration #thevirtualbrain
"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 #neuroscience #computationalneuroscience #machinelearning #simulationbasedinference #inference #connectome #connectivity
"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 #neuroscience #neuro #computationalneuroscience #multimodal #neuroimaging #neurophysiology
"Neural network with optimal neuron activation functions based on additive Gaussian process regression"
https://arxiv.org/abs/2301.05567
#arxivfeed #machinelearning #deeplearning #gaussianprocess
"Langevin algorithms for Markovian Neural Networks and Deep Stochastic control"
https://arxiv.org/abs/2212.12018
#MachineLearning #DeepLearning #ControlTheory #Optimization #DifferentialEquations
#arxivfeed #machinelearning #deeplearning #controltheory #optimization #differentialequations
"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 #neuroscience #neuro #modelling #decisionmaking #machinelearning #deeplearning
"Mesoscopic modeling of hidden spiking neurons"
https://arxiv.org/abs/2205.13493
#Neuroscience #Neuro #ComputationalNeuroscience #MachineLearning #SpikingNeuralNetworks
#arxivfeed #neuroscience #neuro #computationalneuroscience #machinelearning #spikingneuralnetworks
"Seeking the Truth Beyond the Data. An Unsupervised Machine Learning Approach"
https://arxiv.org/abs/2207.06949
#arxivfeed #machinelearning #unsupervisedlearning #clustering
"DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting"
https://arxiv.org/abs/2301.02332
#MachineLearning #DeepLearning #TimeSeries #Forecasting #NeuralNetworks
#arxivfeed #machinelearning #deeplearning #timeseries #forecasting #neuralnetworks
"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 #neuroscience #neuro #computationalneuroscience #vision #machinelearning #deeplearning #convolutionalneuralnetworks
"Dynamic Bayesian Learning and Calibration of Spatiotemporal Mechanistic Systems"
https://arxiv.org/abs/2208.06528
#DynamicalSystems #ModelCalibration #Bayesian #ParameterEstimation #GaussianProcess
#arxivfeed #dynamicalsystems #modelcalibration #bayesian #parameterestimation #gaussianprocess
"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 #machinelearning #neuroai #neuralnetworks #synapse #plasticity
"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 #neuroscience #neuro #computationalneuroscience #machinelearning #graphneuralnetworks #psychiatry #functionalconnectivity #causalinference
"Intrinsic Motivation in Dynamical Control Systems"
https://arxiv.org/abs/2301.00005
#DynamicalSystems
#ControlTheory #MachineLearning #ArtificialIntelligence
#arxivfeed #dynamicalsystems #controltheory #machinelearning #artificialintelligence
"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 #neuroscience #neuro #brain #computationalneuroscience #dynamicalsystems #plasticity
"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 #neuroscience #neuro #brain #neuroimaging #fmri #meg #computationalneuroscience #dynamicalsystems #wholebrainmodel #connectivity
"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 #neuroscience #neuro #brain #neuroimaging #connectome #connectivity #networks
"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 #machinelearning #deeplearning #variational #autoencoder #dynamicalsystems
"Deep Riemannian Networks for EEG Decoding"
https://arxiv.org/abs/2212.10426
#Neuroscience #Neuro #Brain #Neuroimaging #EEG #MachineLearning #DeepLearning
#arxivfeed #neuroscience #neuro #brain #neuroimaging #eeg #machinelearning #deeplearning
"Auto-Encoding Variational Bayes"
https://arxiv.org/abs/1312.6114
#MachineLearning #VariationalBayes #Bayesian #Inference #ProbabilisticModel #AutoEncoder #DeepLearning
#arxivfeed #machinelearning #variationalbayes #bayesian #inference #probabilisticmodel #autoencoder #deeplearning