neural modeling

Improving Data Driven Inverse Text Normalization using Data Augmentation and Machine Translation Interspeech 2022 Tractable & Coherent Multi-Document Summarization: Discrete Optimization of Multiple Neural Modeling Streams via Integer Linear Programming EMNLP 2022 The Gutenberg Dialogue Dataset EACL 2021 Rescuing neural spike train models from bad MLE NeurIPS 2020 Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse NeurIPS 2019 “Congruent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation NeurIPS 2016 Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NeurIPS 2014 A lattice filter model of the visual pathway NeurIPS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits NeurIPS 2011 Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NeurIPS 2011 A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model NeurIPS 2010 Identifying Dendritic Processing NeurIPS 2010 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007