Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher | Paper Citation Record

Observation 771cc9e9-c3a3-467f-ad8f-56076807b831 · outbound

This paper cites A neural net- work that finds a naturalistic solution for the production of muscle activity.Nature Neuroscience, 18(7):1025–1033, 2015.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A neural net- work that finds a naturalistic solution for the production of muscle activity.Nature Neuroscience, 18(7):1025–1033, 2015

Reference 1

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This paper cites On simplicity and complexity in the brave new world of large-scale neuroscience.Current opinion in neurobiology, 32:148–155, 2015.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher On simplicity and complexity in the brave new world of large-scale neuroscience.Current opinion in neurobiology, 32:148–155, 2015

Reference 2

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This paper cites Neural manifolds for the control of movement.Neuron, 94(5):978–984, 2017.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Neural manifolds for the control of movement.Neuron, 94(5):978–984, 2017

Reference 3

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This paper cites The geometry of abstraction in the hippocampus and prefrontal cortex.Cell, 183(4):954–967, 2020.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher The geometry of abstraction in the hippocampus and prefrontal cortex.Cell, 183(4):954–967, 2020

Reference 4

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This paper cites Semi-orthogonal subspaces for value mediate a binding and generalization trade-off.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Semi-orthogonal subspaces for value mediate a binding and generalization trade-off

Reference 5

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Observation d2119112-7fa1-4ce5-b3af-07a2c748389c · outbound

This paper cites Performance-optimized hierarchical models predict neural responses in higher visual cortex.Proceedings of the national academy of sciences, 111(23):8619–8624, 2014.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Performance-optimized hierarchical models predict neural responses in higher visual cortex.Proceedings of the national academy of sciences, 111(23):8619–8624, 2014

Reference 6

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Observation 626eae3e-cb0f-469f-98c5-6c1cdf7d1d87 · outbound

This paper cites Brain encoding models based on multimodal transformers can transfer across language and vision.Advances in neural information processing systems, 36:29654–29666, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Brain encoding models based on multimodal transformers can transfer across language and vision.Advances in neural information processing systems, 36:29654–29666, 2023

Reference 7

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This paper cites Semantic reconstruction of continuous language from non-invasive brain recordings.Nature Neuroscience, 26(5):858–866, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Semantic reconstruction of continuous language from non-invasive brain recordings.Nature Neuroscience, 26(5):858–866, 2023

Reference 8

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Observation 2b836a7f-7891-4a69-ad49-e982d11e3e8e · outbound

This paper cites A unifying framework for functional organization in early and higher ventral visual cortex.Neuron, 112(14):2435–2451, 2024.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A unifying framework for functional organization in early and higher ventral visual cortex.Neuron, 112(14):2435–2451, 2024

Reference 9

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This paper cites Explanatory models in neuroscience, part 1: Taking mechanistic abstraction seriously.Cognitive Systems Research, 87:101244, 2024.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Explanatory models in neuroscience, part 1: Taking mechanistic abstraction seriously.Cognitive Systems Research, 87:101244, 2024

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Observation d854e06f-f447-4bab-9959-e11019e6196e · outbound

This paper cites Deep residual learning for image recognition.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Deep residual learning for image recognition

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This paper cites Searching for mobilenetv3.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Searching for mobilenetv3

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Observation 0db28c34-aeac-481f-bf67-7f92219cc3d8 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learning transferable visual models from natural language supervision

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Observation 717da737-dfa4-4f95-a77b-76fb6052889b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher DINOv2: Learning Robust Visual Features without Supervision

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This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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Observation 3d8beb70-ea39-4af5-9bde-9a345a7638c3 · outbound

This paper cites TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

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Observation f8836125-d862-4b9b-9472-b07c37eacace · outbound

This paper cites GPT-4 Technical Report.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher GPT-4 Technical Report

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Observation 74e31168-16b9-4b04-b8d9-d41b64c11b98 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher LLaMA: Open and Efficient Foundation Language Models

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Observation 456729f9-623a-4c38-a225-22dc0c7d5d98 · outbound

This paper cites DeepSeek-V3 Technical Report.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher DeepSeek-V3 Technical Report

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Observation 32ee90ca-4545-4208-a766-4c10b05f52d7 · outbound

This paper cites Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015

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Observation 581417d8-cd0f-4f70-a6b8-736fddbcba97 · outbound

This paper cites Mastering the game of go without human knowledge.Nature, 550(7676):354–359, 2017.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Mastering the game of go without human knowledge.Nature, 550(7676):354–359, 2017

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This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play.Science, 362(6419):1140–1144, 2018.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A general reinforcement learning algorithm that masters chess, shogi, and go through self-play.Science, 362(6419):1140–1144, 2018

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This paper cites Building machines that learn and think like people.Behavioral and brain sciences, 40:e253, 2017.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Building machines that learn and think like people.Behavioral and brain sciences, 40:e253, 2017

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Observation b08ecf3c-2fec-42cb-b3e8-cc9e62544bde · outbound

This paper cites Human few-shot learning of compositional instructions.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Human few-shot learning of compositional instructions

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Observation 7aa906b6-aef5-473d-a0d5-2a64278ede9e · outbound

This paper cites Heterogeneous domain adaptation using manifold alignment.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Heterogeneous domain adaptation using manifold alignment

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Observation 7cb94949-a45e-4ca0-82e6-fe3630c34544 · outbound

This paper cites Learning with Augmented Features for Heterogeneous Domain Adaptation.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learning with Augmented Features for Heterogeneous Domain Adaptation

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Hybrid heterogeneous transfer learning through deep learning

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Observation 221929d4-e73b-4b9d-8147-c69fd43acd20 · outbound

This paper cites A survey of transfer learning.Journal of Big Data, 3:1–40, 2016.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A survey of transfer learning.Journal of Big Data, 3:1–40, 2016

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Observation 13c0eb3c-bf3c-4b4b-a59f-de1c50223fd0 · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A survey on deep transfer learning

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Observation 383ba25a-f381-499f-83c8-a2039964a560 · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Transfer learning via inter-task mappings for temporal difference learning.Journal of Machine Learning Research, 8(9), 2007

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Observation 801ebc78-68c7-49e7-9ecb-582ece27f3b8 · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learning from limited demonstrations.Advances in Neural Information Processing Systems, 26, 2013

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Observation feb3a719-1722-4af3-b01a-acec26911b25 · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Distilling policy distillation

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Observation 40e65edf-a42b-4632-86e2-c04eed5e120e · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Transfer learning in deep reinforce- ment learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):13344–13362, 2023

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Observation 0867265a-da73-493f-a18b-9d6b9cc48c33 · outbound

This paper cites A survey on transfer learning.IEEE Transactions on Knowledge and Data Engineering, 22(10):1345–1359, 2010.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A survey on transfer learning.IEEE Transactions on Knowledge and Data Engineering, 22(10):1345–1359, 2010

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Representational distance learning for deep neural networks.Frontiers in Computational Neuroscience, 10:131, 2016

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Using human brain activity to guide machine learning.Scientific Reports, 8(1):5397, 2018

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Brain-mediated transfer learning of convolutional neural networks

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This paper cites Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest

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Observation 7c0bc72c-488b-4a41-9c40-fa681a9a444c · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Systems and methods for deep reinforcement learning using a brain-artificial intelligence interface, September 12 2023

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Observation 9b9c08d3-b67e-4ec1-9c39-20a51ee431cc · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Alignment with human representations supports robust few-shot learning.Advances in Neural Information Processing Systems, 36:73464–73479, 2023

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Observation 9375c5eb-842f-4347-9684-8aeae5b451c9 · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Representation Learning with Contrastive Predictive Coding

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A simple framework for contrastive learning of visual representations

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Observation 15c4ae65-99e9-40d1-8a7b-56acfe2d60f2 · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Widespread temporal coding of cognitive control in the human prefrontal cortex.Nature Neuroscience, 22(11):1883–1891, 2019

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Observation b9105be4-9e2d-4751-9bca-49a0975c9c2d · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Dynamic categorization rules alter representations in human visual cortex.Nature Communications, 16:3459, 2025

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Observation 2fe35309-2c3d-4c87-8b6e-b7674c42b5ae · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learning and language in the unconscious human hippocampus.bioRxiv, pages 2025–04, 2025

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Neurons in human pre-supplementary motor area encode key computations for value-based choice.Nature Human Behaviour, 7(6):970–985, 2023

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Source-reported events for the cited work

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.Neural Computation, 16(8):1661–1687, 2004

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Observation 3494ea14-f6e8-4202-8e0d-4431808de855 · outbound

This paper cites Learnable latent embeddings for joint behavioural and neural analysis.Nature, pages 1–9, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learnable latent embeddings for joint behavioural and neural analysis.Nature, pages 1–9, 2023

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Observation d9cbc5d3-578c-456d-86be-a24a2602255f · outbound

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Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Explicit regularisation in gaussian noise injections.Advances in Neural Information Processing Systems, 33:16603–16614, 2020

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Observation f8364da7-e321-460e-9dd6-f54123edc4d9 · outbound

This paper cites Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation.Proceedings of the National Academy of Sciences, 122(3):e2316745122, 2025.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation.Proceedings of the National Academy of Sciences, 122(3):e2316745122, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:57.038499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9224f9c8-7385-4d0e-a375-6fe919fa0ecb · outbound

This paper cites Pupil-linked arousal correlates with neural activity prior to sensorimotor decisions.Journal of Neural Engineering, 20(6):066031, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Pupil-linked arousal correlates with neural activity prior to sensorimotor decisions.Journal of Neural Engineering, 20(6):066031, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:56.871790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db81304e-299e-40d6-bdcf-e8b0e12734af · outbound

This paper cites Implementing a deep reinforcement learning model for autonomous driving.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Implementing a deep reinforcement learning model for autonomous driving

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:56.665672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24c07a3f-68af-4dd7-812e-f66946898881 · outbound

This paper cites CARLA: An open urban driving simulator.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher CARLA: An open urban driving simulator

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:43:56.475052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Reference resolution

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Pith citing papers