Copertina

On the possibility of deep alignment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Kiefer, Alex B.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Intrinsic motivation as constrained entropy maximization
di: Kiefer, Alex B.
Pubblicazione: (2025)

The inner screen model of consciousness: applying the free energy principle directly to the study of conscious experience
di: Ramstead, Maxwell J. D., et al.
Pubblicazione: (2023)

Digging into CTM's consciousness: A possible mechanism for CTM generating self-conscious
di: Cui, Shaoyang, et al.
Pubblicazione: (2024)

The macaque IT cortex but not current artificial vision networks encode object position in perceptually aligned coordinates
di: Yakubovskaya, Elizaveta, et al.
Pubblicazione: (2026)

Critical dynamics governs deep learning
di: Vock, Simon, et al.
Pubblicazione: (2025)

Gromov-Wasserstein unsupervised alignment reveals structural correspondences between the color similarity structures of humans and large language models
di: Kawakita, Genji, et al.
Pubblicazione: (2023)

A systematic review on visual-processing deficits in Neurofibromatosis type 1: what possible impact on learning to read?
di: Vernet, Marie, et al.
Pubblicazione: (2024)

Integrative characterization of the topography of V4 neural codes using deep learning approaches
di: Bian, Yingjue, et al.
Pubblicazione: (2025)

Computational modelling of Parkinson's disease: A multiscale approach with deep brain stimulation and stochastic noise
di: Herrera, Aaron, et al.
Pubblicazione: (2025)

KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation
di: Cif, L, et al.
Pubblicazione: (2025)

Long-term follow-up of DYT1 dystonia patients treated by deep brain stimulation: an open-label study
di: Cif, Laura, et al.
Pubblicazione: (2025)

Variational Representational Similarity Analysis (vRSA) for M/EEG
di: Lepauvre, Alex, et al.
Pubblicazione: (2025)

The role of gap junctions and clustered connectivity in emergent synchronisation patterns of inhibitory neuronal networks
di: Todd, Hélène, et al.
Pubblicazione: (2024)

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

Psycho Gundam: Electroencephalography based real-time robotic control system with deep learning
di: Chen, Chi-Sheng, et al.
Pubblicazione: (2024)

CLASH: Contrastive learning through alignment shifting to extract stimulus information from EEG
di: Accou, Bernd, et al.
Pubblicazione: (2023)

Distinct inhibitory connectivity motifs trigger distinct forms of anticipation in the retinal network
di: Ebert, S., et al.
Pubblicazione: (2025)

Full-dimensional characterisation of time-warped spike-time stimulus-response distribution geometries
di: Isbister, James B
Pubblicazione: (2024)

One nose but two nostrils: Learn to align with sparse connections between two olfactory cortices
di: Liu, Bo, et al.
Pubblicazione: (2024)

Language models and brains align due to more than next-word prediction and word-level information
di: Merlin, Gabriele, et al.
Pubblicazione: (2022)

The Genetic and Environmental Architecture of the Human Functional Connectome
di: Raghav, Tanu, et al.
Pubblicazione: (2026)

A framework for disentangling spatial and visual neural representations
di: Morimoto, Mai M., et al.
Pubblicazione: (2025)

Understanding Decision-Making Across the Lifespan Needs Theoretical Neuroscience
di: Ryan, Michael B., et al.
Pubblicazione: (2026)

Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
di: Wu, Hanlin, et al.
Pubblicazione: (2025)

Effect of an auditory static distractor on the perception of an auditory moving target
di: Kemp, Noa, et al.
Pubblicazione: (2025)

Computational Advances in Taste Perception: From Ion Channels to Neural Coding
di: Lazovsky, Vladimir A., et al.
Pubblicazione: (2025)

The Neuroscientific Basis of Flow: Learning Progress Guides Task Engagement and Cognitive Control
di: Lu, Hairong, et al.
Pubblicazione: (2024)

Using economic value signals from primate prefrontal cortex in neuro-engineering applications
di: Rouse, Tevin C., et al.
Pubblicazione: (2025)

Multiscale cortical morphometry reveals pronounced regional and scale-dependent variations across the lifespan
di: Leiberg, Karoline, et al.
Pubblicazione: (2023)

From Density to Void: Why Brain Networks Fail to Reveal Complex Higher-Order Structures
di: Chung, Moo K., et al.
Pubblicazione: (2025)

Learning temporal relationships between symbols with Laplace Neural Manifolds
di: Howard, Marc W., et al.
Pubblicazione: (2023)

Temporal interference stimulation for deep brain neuromodulation in humans
di: Vassiliadis, Pierre, et al.
Pubblicazione: (2025)

Effective and anatomical connectivity of the dorso-central insula during the processing of action forms
di: Di Cesare, G., et al.
Pubblicazione: (2023)

Astrocyte control bursting mode of spiking neuron network with memristor-implemented plasticity
di: Stasenko, Sergey V., et al.
Pubblicazione: (2023)

Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation
di: Russo, John S., et al.
Pubblicazione: (2024)

Cortical network reconfiguration aligns with shifts of basal ganglia and cerebellar influence
di: Nestor, Kimberly
Pubblicazione: (2024)

Causality as a Minimum Energy Principle
di: Chung, Moo K., et al.
Pubblicazione: (2026)

Computational Auditory Periphery Models: the Return of the Rodent
di: Thienpont, Morgan, et al.
Pubblicazione: (2026)

A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation
di: Qin, Shanshan, et al.
Pubblicazione: (2025)

Neurons as Detectors of Coherent Sets in Sensory Dynamics
di: Pughe-Sanford, Joshua L., et al.
Pubblicazione: (2025)