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Biosignal Processing

369 directly classified papers

Papers per year

Papers

Reinforcement Learning using Kernel-Based Stochastic Factorization NIPS 2011
Dynamical segmentation of single trials from population neural data NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
A blind sparse deconvolution method for neural spike identification NIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NIPS 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
On the Analysis of Multi-Channel Neural Spike Data NIPS 2011
Identifying Dendritic Processing NIPS 2010
Evaluation of Rarity of Fingerprints in Forensics NIPS 2010
Decoding Ipsilateral Finger Movements from ECoG Signals in Humans NIPS 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NIPS 2010
Accounting for network effects in neuronal responses using L1 regularized point process models NIPS 2010
A Novel Kernel for Learning a Neuron Model from Spike Train Data NIPS 2010
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles NIPS 2010
Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models NIPS 2010
Functional Geometry Alignment and Localization of Brain Areas NIPS 2010
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models NIPS 2010
Multitask Learning for Brain-Computer Interfaces AISTATS 2010
Mixture of time-warped trajectory models for movement decoding NIPS 2010
Bayesian estimation of orientation preference maps NIPS 2009
fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity NIPS 2009
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NIPS 2009
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NIPS 2009