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Science
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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
Mapping Brains with Language Models: A Survey
ACL 2023
Hierarchical VAEs provide a normative account of motion processing in the primate brain
NIPS 2023
How does the brain process syntactic structure while listening?
ACL 2023
Towards robust and generalizable representations of extracellular data using contrastive learning
NIPS 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
NIPS 2023
A Unified, Scalable Framework for Neural Population Decoding
NIPS 2023
SwiFT: Swin 4D fMRI Transformer
NIPS 2023
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks
NIPS 2023
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies
NIPS 2023
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics
NIPS 2023
Brain encoding models based on multimodal transformers can transfer across language and vision
NIPS 2023
Neural Integro-Differential Equations
AAAI 2023
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
NIPS 2023
Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images
NIPS 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
NIPS 2023
Toward a realistic model of speech processing in the brain with self-supervised learning
NIPS 2022
A time-resolved theory of information encoding in recurrent neural networks
NIPS 2022
Natural gradient enables fast sampling in spiking neural networks
NIPS 2022
Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses
NIPS 2022
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
NIPS 2022
Aligning individual brains with fused unbalanced Gromov Wasserstein
NIPS 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
NIPS 2022
Probing Word Syntactic Representations in the Brain by a Feature Elimination Method
AAAI 2022
Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers
NIPS 2022
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion
AAAI 2022
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