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Neuroscience
339 directly classified papers
Papers per year
2006: 7
2007: 17
2008: 11
2009: 21
2010: 25
2011: 20
2012: 21
2013: 22
2014: 12
2015: 4
2016: 10
2017: 12
2018: 10
2019: 14
2020: 26
2021: 18
2022: 24
2023: 27
2024: 28
2025: 10
Papers
Learning Disentangled Behavior Embeddings
NIPS 2021
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
NIPS 2021
A universal probabilistic spike count model reveals ongoing modulation of neural variability
NIPS 2021
Biological learning in key-value memory networks
NIPS 2021
A mechanistic multi-area recurrent network model of decision-making
NIPS 2021
Learning Interpretable Models for Coupled Networks Under Domain Constraints
AAAI 2021
Bias and variance of the Bayesian-mean decoder
NIPS 2021
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
NIPS 2020
Using noise to probe recurrent neural network structure and prune synapses
NIPS 2020
Point process models for sequence detection in high-dimensional neural spike trains
NIPS 2020
Organizing recurrent network dynamics by task-computation to enable continual learning
NIPS 2020
How well does surprisal explain N400 amplitude under different experimental conditions?
EMNLP 2020
Biologically Plausible Sequence Learning with Spiking Neural Networks
AAAI 2020
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations
NIPS 2020
Retina-Like Visual Image Reconstruction via Spiking Neural Model
CVPR 2020
HUMBI: A Large Multiview Dataset of Human Body Expressions
CVPR 2020
Online Neural Connectivity Estimation with Noisy Group Testing
NIPS 2020
Learning efficient task-dependent representations with synaptic plasticity
NIPS 2020
Predictive coding in balanced neural networks with noise, chaos and delays
NIPS 2020
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
NIPS 2020
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
NIPS 2020
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
NIPS 2020
A Biologically Plausible Neural Network for Slow Feature Analysis
NIPS 2020
Demixed shared component analysis of neural population data from multiple brain areas
NIPS 2020
Neuronal Gaussian Process Regression
NIPS 2020
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