The 8th annual computational and systems neuroscience (Cosyne) meeting |
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Adaptive optimal training of animal behavior |
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Adaptive stimulus selection for multi-alternative psychometric functions with lapses |
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Bayesian active learning of neural firing rate maps with transformed gaussian process priors. |
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Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data |
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Bayesian entropy estimation for binary spike train data using parametric prior knowledge |
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Bayesian estimation of discrete entropy with mixtures of stick-breaking priors |
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Bayesian inference for low rank spatiotemporal neural receptive fields |
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Bayesian latent structure discovery from multi-neuron recordings |
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Bayesian Spike-Triggered Covariance Analysis |
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Capturing the Dynamical Repertoire of Single Neurons with Generalized Linear Models. |
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Characterizing neural dependencies with copula models |
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Combined Social and Spatial Coding in a Descending Projection from the Prefrontal Cortex. |
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Computational approaches to fMRI analysis |
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Continuous psychophysics: Target-tracking to measure visual sensitivity |
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Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability. |
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Discovering Event Structure in Continuous Narrative Perception and Memory |
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Discrete Stepping and Nonlinear Ramping Dynamics Underlie Spiking Responses of LIP Neurons during Decision-Making |
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Dissociated functional significance of decision-related activity in the primate dorsal stream |
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Dynamique transitoire et codage dans des réseaux des neurones. |
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Editorial overview: Machine learning, big data, and neuroscience |
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Efficient inference for time-varying behavior during learning |
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Efficient Markov chain Monte Carlo methods for decoding neural spike trains |
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The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction |
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Error-correcting dynamics in visual working memory |
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Estimation de modèle après des alignements arbitraires : application à l'imagerie médicale. |
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Explaining the especially pink elephant |
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Extracting the dynamics of behavior in sensory decision-making experiments |
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Fully Bayesian inference for neural models with negative-binomial spiking |
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Functional dissection of signal and noise in MT and LIP during decision-making. |
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Gaussian process based nonlinear latent structure discovery in multivariate spike train data |
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Heterogeneous response dynamics in retinal ganglion cells: the interplay of predictive coding and adaptation |
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High-contrast “gaudy” images improve the training of deep neural network models of visual cortex |
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Identifying signal and noise structure in neural population activity with Gaussian process factor models |
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Inferring learning rules from animal decision-making |
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Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit |
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Inferring synaptic inputs from spikes with a conductance-based neural encoding model |
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Is population activity more than the sum of its parts? |
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L'apprentissage d'une représentation efficace du signal dans des réseaux à codage parcimonieux de potentiel d'action. |
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Lawful tracking of visual motion in humans, macaques, and marmosets in a naturalistic, continuous, and untrained behavioral context |
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Learning a latent manifold of odor representations from neural responses in piriform cortex |
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Learning efficient signal representation in sparse spike-coding networks |
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Low-dimensional models of neural population activity in sensory cortical circuits |
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Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. |
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Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains. |
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A model-based spike sorting algorithm for removing correlation artifacts in multi-neuron recordings |
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Modeling statistical dependencies in multi-region spike train data |
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Modeling the impact of common noise inputs on the network activity of retinal ganglion cells |
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Optimal prior-dependent neural population codes under shared input noise |
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Perceptual completion across the vertical meridian and the role of early visual cortex. |
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Poisson balanced spiking networks |
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Power-law efficient neural codes provide general link between perceptual bias and discriminability |
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Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. |
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Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making |
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Receptive field inference with localized priors |
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Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias |
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Response to Comment on "Single-trial spike trains in parietal cortex reveal discrete steps during decision-making". |
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Scaling the Poisson GLM to massive neural datasets through polynomial approximations |
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A simple linear readout of MT supports motion direction-discrimination performance |
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Sparse Bayesian structure learning with “dependent relevance determination” priors |
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Spatio-temporal correlations and visual signalling in a complete neuronal population |
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Spike train entropy-rate estimation using hierarchical Dirichlet process priors |
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Spike-triggered neural characterization. |
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Statistical models for neural encoding, decoding, and optimal stimulus design |
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Systematic misperceptions of 3-D motion explained by Bayesian inference. |
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Template estimation for arbitrary alignments : application to brain imaging |
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Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models |
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Transient dynamics and population coding in networks of neurons |
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Universal models for binary spike patterns using centered Dirichlet processes |
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Unsupervised identification of the internal states that shape natural behavior |
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Volumetric two-photon imaging of neurons using stereoscopy (vTwINS). |
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