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Neuroscience

339 directly classified papers

Papers per year

Papers

Neuronal Gaussian Process Regression NIPS 2020
Learning efficient task-dependent representations with synaptic plasticity NIPS 2020
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NIPS 2020
Neural Dynamics and Gamma Oscillation on a Hybrid Excitatory-Inhibitory Complex Network (Student Abstract) AAAI 2020
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks AAAI 2020
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings NIPS 2020
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NIPS 2020
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NIPS 2020
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits NIPS 2019
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction NIPS 2019
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference NIPS 2019
Selecting causal brain features with a single conditional independence test per feature NIPS 2019
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity NIPS 2019
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NIPS 2019
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex NIPS 2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs NIPS 2019
Coordinated hippocampal-entorhinal replay as structural inference NIPS 2019
Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains ACL 2019
From Brain Space to Distributional Space: The Perilous Journeys of fMRI Decoding ACL 2019
Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models ACL 2019
A neurally plausible model learns successor representations in partially observable environments NIPS 2019
Towards Sentence-Level Brain Decoding with Distributed Representations AAAI 2019
Active Fixation Control to Predict Saccade Sequences CVPR 2018
Long short-term memory and Learning-to-learn in networks of spiking neurons NIPS 2018
Incorporating Context into Language Encoding Models for fMRI NIPS 2018