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neural encoding

53 papers

Papers

Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech ICML 2022 An Effective Transition-based Model for Discontinuous NER ACL 2020 From Language to Language-ish: How Brain-Like is an LSTM’s Representation of Nonsensical Language Stimuli? EMNLP 2020 Neural encoding with visual attention NeurIPS 2020 ReQA: An Evaluation for End-to-End Answer Retrieval Models EMNLP 2019 Analyzing EEG Signals in Auditory Speech Comprehension Using Temporal Response Functions and Generalized Additive Models Interspeech 2018 Incorporating Context into Language Encoding Models for fMRI NeurIPS 2018 Learning a latent manifold of odor representations from neural responses in piriform cortex NeurIPS 2018 Deep Learning Models of the Retinal Response to Natural Scenes NeurIPS 2016 A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding NeurIPS 2015 Inferring synaptic conductances from spike trains with a biophysically inspired point process model NeurIPS 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 A multi-agent control framework for co-adaptation in brain-computer interfaces NeurIPS 2013 Least Informative Dimensions NeurIPS 2013 Multisensory Encoding, Decoding, and Identification NeurIPS 2013 Neural representation of action sequences: how far can a simple snippet-matching model take us? NeurIPS 2013 A mechanistic model of early sensory processing based on subtracting sparse representations NeurIPS 2012 Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter NeurIPS 2012 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Fractionally Predictive Spiking Neurons NeurIPS 2010 Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NeurIPS 2009 Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds NeurIPS 2008 Tracking Changing Stimuli in Continuous Attractor Neural Networks NeurIPS 2008 Better than least squares: comparison of objective functions for estimating linear-nonlinear models NeurIPS 2007