Copertina

Sequence models for by-trial decoding of cognitive strategies from neural data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Otter, Rick den, Weindel, Gabriel, Stuit, Sjoerd, van Maanen, Leendert
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Neurons and Cognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Brain-aligning of semantic vectors improves neural decoding of visual stimuli
di: Vafaei, Shirin, et al.
Pubblicazione: (2024)

Information encoding and decoding in in-vitro neural networks on micro electrode arrays through stimulation timing
di: Lindell, Trym A. E., et al.
Pubblicazione: (2024)

Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors
di: Radmard, Puria, et al.
Pubblicazione: (2025)

Abrupt and spontaneous strategy switches emerge in simple regularised neural networks
di: Löwe, Anika T., et al.
Pubblicazione: (2023)

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
di: Song, Yu, et al.
Pubblicazione: (2024)

Embodied sensorimotor control: computational modeling of the neural control of movement
di: Almani, Muhammad Noman, et al.
Pubblicazione: (2025)

Dissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networks
di: Shao, Zhenan, et al.
Pubblicazione: (2026)

A theory of neural emulators
di: Mitelut, Catalin C.
Pubblicazione: (2024)

Can we automatize scientific discovery in the cognitive sciences?
di: Jagadish, Akshay K., et al.
Pubblicazione: (2026)

On the evolutionary cognitive pressure for experiential awareness: do machines need it?
di: Sritriratanarak, Warisa, et al.
Pubblicazione: (2025)

Characterizing higher-order representations through generative diffusion models explains human decoded neurofeedback performance
di: Asrari, Hojjat Azimi, et al.
Pubblicazione: (2025)

Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networks
di: Urbach, Roy, et al.
Pubblicazione: (2025)

Synergistic pathways of modulation enable robust task packing within neural dynamics
di: Vedovati, Giacomo, et al.
Pubblicazione: (2024)

Examining the effects of music on cognitive skills of children in early childhood with the Pythagorean fuzzy set approach
di: Kirisci, Murat, et al.
Pubblicazione: (2025)

Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction
di: Qu, Youzhi, et al.
Pubblicazione: (2024)

Bridging scalp and intracranial EEG in BCI via pretrained neural representations and geometric constraint embedding
di: Dong, Yihang, et al.
Pubblicazione: (2026)

Towards unified brain-to-text decoding across speech production and perception
di: Yuan, Zhizhang, et al.
Pubblicazione: (2026)

Retina gap junctions support the robust perception by warping neural representational geometries along the visual hierarchy
di: Yue, Yang, et al.
Pubblicazione: (2026)

From DDMs to DNNs: Using process data and models of decision-making to improve human-AI interactions
di: Gopnarayan, Mrugsen Nagsen, et al.
Pubblicazione: (2023)

Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding
di: Olak, Michal, et al.
Pubblicazione: (2026)

Seeing the imagined: a latent functional alignment in visual imagery decoding from fMRI data
di: Spera, Fabrizio, et al.
Pubblicazione: (2026)

The neural correlates of logical-mathematical symbol systems processing resemble that of spatial cognition more than natural language processing
di: Li, Yuannan, et al.
Pubblicazione: (2024)

NLP4Neuro: Sequence-to-sequence learning for neural population decoding
di: Morra, Jacob J., et al.
Pubblicazione: (2025)

A neural network for modeling human concept formation, understanding and communication
di: Guo, Liangxuan, et al.
Pubblicazione: (2026)

Meta-learning ecological priors from large language models explains human learning and decision making
di: Jagadish, Akshay K., et al.
Pubblicazione: (2025)

Integrated representational signatures strengthen specificity in brains and models
di: Wu, Jialin, et al.
Pubblicazione: (2025)

Large language models surpass human experts in predicting neuroscience results
di: Luo, Xiaoliang, et al.
Pubblicazione: (2024)

From task structures to world models: What do LLMs know?
di: Yildirim, Ilker, et al.
Pubblicazione: (2023)

Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
di: Erturk, Eray, et al.
Pubblicazione: (2025)

Re-assessing the evidence for mental rotation abilities in children using computational models
di: Aubret, Arthur, et al.
Pubblicazione: (2025)

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior
di: Carvalho, Wilka, et al.
Pubblicazione: (2025)

System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems
di: Taniguchi, Tadahiro, et al.
Pubblicazione: (2025)

The brain versus AI: World-model-based versatile circuit computation underlying diverse functions in the neocortex and cerebellum
di: Ohmae, Shogo, et al.
Pubblicazione: (2024)

Is artificial consciousness achievable? Lessons from the human brain
di: Farisco, Michele, et al.
Pubblicazione: (2024)

Generalizable, real-time neural decoding with hybrid state-space models
di: Ryoo, Avery Hee-Woon, et al.
Pubblicazione: (2025)

Latent-Space Causal Discovery from Indirect Neuroimaging Observations
di: Bae, Sangyoon, et al.
Pubblicazione: (2026)

Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity
di: Noguchi, Shogo, et al.
Pubblicazione: (2026)

Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project
di: Kirova, Valeriya, et al.
Pubblicazione: (2025)

Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems
di: Mathis, Mackenzie Weygandt
Pubblicazione: (2024)

Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders
di: Hu, Jinlong, et al.
Pubblicazione: (2026)