WBE and DRL: a Middle Way of imitation learning from the human brain
Improving neural network representations using human similarity judgments
Performance reserves in brain-imaging-based phenotype prediction
Brains and algorithms partially converge in natural language processing
Toward Conceptual Networks in Brain: Decoding Imagined Words from Word Reading
In vitro neurons learn and exhibit sentience when embodied in a simulated game-world
Long-range and hierarchical language predictions in brains and algorithms
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
Fine-tuning of deep language models as a computational framework of modeling listeners’ perspective during language comprehension
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks
Compositional Restricted Boltzmann Machines Unveil the Brain-Wide Organization of Neural Assemblies
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Deep learning models of cognitive processes constrained by human brain connectomes
Monkey Plays Pac-Man with Compositional Strategies and Hierarchical Decision-making
Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query
Fitting summary statistics of neural data with a differentiable spiking network simulator
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Embracing New Techniques in Deep Learning for Estimating Image Memorability
A massive 7T fMRI dataset to bridge cognitive and computational neuroscience
Brain-computer interface for generating personally attractive images
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Selective Eye-gaze Augmentation To Enhance Imitation Learning In Atari Games
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze
The hearing aid dilemma: amplification, compression, and distortion of the neural code
Self-Supervised Natural Image Reconstruction and Rich Semantic Classification from Brain Activity
Deep neural network models of sound localization reveal how perception is adapted to real-world environments
What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking
Inducing brain-relevant bias in natural language processing models
Improved object recognition using neural networks trained to mimic the brain’s statistical properties
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
A Neurobiological Evaluation Metric for Neural Network Model Search
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards
Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks
Towards Deep Modeling of Music Semantics using EEG Regularizers
Neural Network Based Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks
Towards personalized human AI interaction—adapting the behavior of AI agents using neural signatures of subjective interest
Mapping Between fMRI Responses to Movies and their Natural Language Annotations
Deep Learning Human Mind for Automated Visual Classification
Improving sentence compression by learning to predict gaze
Neural Encoding and Decoding With Deep Learning for Dynamic Natural Vision Cerebral Cortex
Exploring Semantic Representation in Brain Activity Using Word Embeddings
Randal Koene on Brain Understanding Before Whole Brain Emulation
https://www.cs.cmu.edu/~afyshe/papers/acl2014/jnnse_acl2014.pdf
https://www.fhi.ox.ac.uk/brain-emulation-roadmap-report.pdf
https://www.quantamagazine.org/deep-neural-networks-help-to-explain-living-brains-20201028/
https://www.reddit.com/r/thisisthewayitwillbe/comments/59lu26/a_possible_unexpected_path_to_strong_ai_agi/
https://www.reddit.com/r/thisisthewayitwillbe/comments/e02gtg/ai_and_neuroscience_main2019_patrick_mineaults/
https://www.wired.com/story/the-long-search-for-a-computer-that-speaks-your-mind/
Brains and algorithms partially converge in natural language processing
https%253A%252F%252Fwww.nature.com%252Farticles%252Fs42003-022-03036-1.html
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