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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 V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion
AAAI 2022
Toward a realistic model of speech processing in the brain with self-supervised learning
NIPS 2022
Phoneme transcription of endangered languages: an evaluation of recent ASR architectures in the single speaker scenario
ACL 2022
Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding
ACL 2022
Decoding Part-of-Speech from Human EEG Signals
ACL 2022
The computational and learning benefits of Daleian neural networks
NIPS 2022
Learning low-dimensional generalizable natural features from retina using a U-net
NIPS 2022
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
NIPS 2022
Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers
NIPS 2022
Probing Word Syntactic Representations in the Brain by a Feature Elimination Method
AAAI 2022
Aligning individual brains with fused unbalanced Gromov Wasserstein
NIPS 2022
Learning Chaotic Dynamics in Dissipative Systems
NIPS 2022
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
NIPS 2022
A time-resolved theory of information encoding in recurrent neural networks
NIPS 2022
Investigating non lexical markers of the language of schizophrenia in spontaneous conversations
EMNLP 2021
A surprisal–duration trade-off across and within the world’s languages
EMNLP 2021
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras
CVPR 2021
Task Programming: Learning Data Efficient Behavior Representations
CVPR 2021
Charting and Navigating the Space of Solutions for Recurrent Neural Networks
NIPS 2021
Bias and variance of the Bayesian-mean decoder
NIPS 2021
A mechanistic multi-area recurrent network model of decision-making
NIPS 2021
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
NIPS 2021
Online Learning Of Neural Computations From Sparse Temporal Feedback
NIPS 2021
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks
NIPS 2021
Learning Interpretable Models for Coupled Networks Under Domain Constraints
AAAI 2021
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