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pubmed
Hadjivassiliou M, Grünewald RA, Croall ID, Hoggard N 等
2026 Aug 13
置信度 0.82
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pubmed
Scaglione M, Calevo MG, Pessano S, Perri FN 等
2026 Aug 8
置信度 0.82
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Mózes N, Lipécz Á, Csípő T, Fazekas-Pongor V 等
2026 Aug 7
置信度 0.82
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pubmed
Simon N, von Fabeck K
2026 Aug 10
置信度 0.82
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Chang W, Kwak AS, Han SH, Song DY 等
2026 Aug 7
置信度 0.82
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pubmed
Almalki ZM, Batawi AH, Almuhammadi A, Alowaidi SA 等
2026 Aug 10
置信度 0.82
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pubmed
Ashley CN, Broni E, Wood CM, Kaja S 等
2026 Aug 8
置信度 0.82
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pubmed
Ablaikhanova N, Assan G, Kurbannazarova R, Ussipbek B 等
2026 Aug 5
置信度 0.82
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pubmed
Oliveira RI, Franco C, Mano M, Leal AS 等
2026 Aug 3
置信度 0.82
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pubmed
Laouameria AN, Máthé D, Kubovje A, Vajdovich P 等
2026 Jul 23
置信度 0.82
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pubmed
Quintero-Espinosa DA, Sanchez-Hernandez S, Velez-Pardo C, Martin F 等
2026 Aug 19
置信度 0.82
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pubmed
Coșoreanu MT, Gradisteanu Pircalabioru G, Lixandru-Petre IO, Ionescu MI 等
2026 Aug 21
置信度 0.82
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pubmed
Tu T, Guo Y, Li Q, Liu Y 等
2026 Aug 20
置信度 0.82
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pubmed
Pirri C, Manocchio N, Sorbino A, Napoleoni V 等
2026 Aug 19
置信度 0.82
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pubmed
Arbănași EM, Arbănași EM, Boghițoiu TG, Cărare SA 等
2026 Aug 17
置信度 0.82
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pubmed
Fiore T, Giuliano M, Pellerito C, Emanuele S
2026 Aug 16
置信度 0.82
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pubmed
Gherman Lencu CC, Gerdanovics CA, Orășan OH, Iancu DM 等
2026 Aug 16
置信度 0.82
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pubmed
Paul G, Sharma M, Asante DM, Jehu DA 等
2026 Aug 14
置信度 0.82
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pubmed
Császár-Nagy N, Bókkon I
2026 Aug 11
置信度 0.82
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pubmed
Terribile G, Pedrinazzi M, Frigerio I, Sancini G 等
2026 Aug 11
置信度 0.82
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pubmed
Zaman K, Morgan AB, Prokai-Tatrai K, Inman DM 等
2026 Aug 10
置信度 0.82
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pubmed
Gómez-Maldonado I, Rodríguez-Arana A, Tamayo-Pinzón A, Albornoz-Suárez JE 等
2026 Aug 8
置信度 0.82
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pubmed
Puce L, Pretelli G, Trompetto C
2026 Aug 19
置信度 0.82
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pubmed
Dan TF, Pis AT, Ulucean AM, Copil A 等
2026 Aug 13
置信度 0.82
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pubmed
Sforza G, Maritato C, Anzini G, Carboni A 等
2026 Aug 5
置信度 0.82
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pubmed
Qadi N, Aldakheel A, Shosha E
2026 Aug 5
置信度 0.82
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pubmed
Jehu DA, Hanson M, Huang Y, Soares A 等
2026 Jul 25
置信度 0.82
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Eggarter V, Ruscitti L, Ascioti N, Bonanata M 等
2026 Aug 21
置信度 0.82
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pubmed
Abbate V, Fazio GR, Maffia F, Manzo E 等
2026 Aug 20
置信度 0.82
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pubmed
Tighilet B, Marouane E, Xavier F, Chabbert C
2026 Aug 18
置信度 0.82
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pubmed
Sancassiani F, Kalcev G, Pintus E, Lorrai S 等
2026 Aug 17
置信度 0.82
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pubmed
Maghiar L, Iftode A, Maghiar TA, Chioibas R 等
2026 Aug 17
置信度 0.82
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pubmed
May MC, Biz C, Puce L, Zanirato A 等
2026 Aug 16
置信度 0.82
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pubmed
Kantarcioglu B, Erölmez HN, Nigudkar M, Lundy M 等
2026 Aug 14
置信度 0.82
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pubmed
Scarlata S, Marinelli A, Finamore P, Quaranta VN 等
2026 Aug 13
置信度 0.82
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pubmed
Conti E, Baldereschi M, Di Carlo A, Barbieri G 等
2026 Aug 12
置信度 0.82
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pubmed
Wells AJ, Hiwase AD, Timofeev I, Hutchinson PJA
2026 Aug 12
置信度 0.82
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pubmed
Albakr AI, Alokley A, AlSulaiman F, Alqarni MA 等
2026 Aug 11
置信度 0.82
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pubmed
Vaira LA, Qadeer H, Stellino S, Lechien JR 等
2026 Aug 10
置信度 0.82
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pubmed
Munir F, Sinclair A, Davis O, Dawson J 等
2026 Aug 6
置信度 0.82
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pubmed
Arnautu SF, Nejadhamzeeigilani H, Patankar T, Fairhead R 等
2026 Aug 14
置信度 0.82
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Quaglietta L, Vitulli F, Russo C, Grandone A 等
2026 Aug 11
置信度 0.82
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pubmed
Ibănescu R, Ciurescu S, Buzaș R, Militaru AG 等
2026 Aug 10
置信度 0.82
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pubmed
Chao CC, Shen HE, Zhang BB, Chao TC 等
2026 Aug 6
置信度 0.82
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pubmed
Milan G, Compagnin C, Zucal I, Perale G 等
2026 Jul 29
置信度 0.82
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pubmed
López-León CF, Sala-Jarque J, Del Río JA, Soriano J
2026 Jul 24
置信度 0.82
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pubmed
Canepa ME, Prefumo F, Striano P, Calandrino A 等
2026 Aug 20
置信度 0.82
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pubmed
Shams Nosrati MS, Doustmohammadi M, Dostmohammadi A, Kakavand Hamidi A 等
2026 Aug 18
置信度 0.82
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pubmed
Roman A, Sorensen M, Marron Fernandez de Velasco E, Parr AM 等
2026 Aug 2
置信度 0.82
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Mahony C, Buchanan E, O'Ryan C
2026 Aug 18
置信度 0.82
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pubmed
Hefny AA, Karuturi RC, Kalyaanamoorthy S, Rao PPN 等
2026 Aug 17
置信度 0.82
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Ogunnaike MO, Sultana A, Raut S, Wang W 等
2026 Aug 14
置信度 0.82
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Rivara M, Malacrida A, Ghizzi M, Bentivegna A 等
2026 Aug 12
置信度 0.82
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Potel JT, Kumashiro M
2026 Aug 19
置信度 0.82
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Mladin NC, Rad D, Vîșcu LI, Cădariu IE 等
2026 Aug 16
置信度 0.82
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Kumashiro M, Coolsen MK, Quesenberry KA
2026 Aug 14
置信度 0.82
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Nascimento B, Shishane K, Adair L, Ferenczi N 等
2026 Aug 12
置信度 0.82
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pubmed
Terze L, Klapez A, Petricevic I, Pavlinac Dodig I 等
2026 Aug 11
置信度 0.82
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pubmed
Winstanley C
2026 Aug 3
置信度 0.82
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Tanase E, Stanga L, Rosca CI, Branea HS 等
2026 Jul 23
置信度 0.82
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pubmed
Lancaster H, Hawes F, Tang EYH, Sabatini S
2026 Aug 18
置信度 0.82
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Özsimsek A, Terzi M, Ozpinar S, Koç S 等
2026 Aug 15
置信度 0.82
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pubmed
McAtarsney-Kovacs M, Sapkota R, van der Linde I, Pardhan S
2026 Aug 21
置信度 0.82
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pubmed
Harris KE, Lascaratos G, Chau KY
2026 Aug 20
置信度 0.82
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pubmed
Hafiz B, Alsharif T, Sukkar F, Okal F 等
2026 Aug 20
置信度 0.82
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Kalfus J, Ward D, Wróbel B, McKenzie AT
2026 Aug 19
置信度 0.82
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pubmed
Vos S, Van den Broeck R, Ruiz Callejo D, Collignon O 等
2026 Aug 18
置信度 0.82
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pubmed
Lan Z, Li X, Chen H
2026 Aug 16
置信度 0.82
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pubmed
Milasauskiene E, Burkauskas J, Jesmanas S, Gleizniene R 等
2026 Aug 12
置信度 0.82
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pubmed
Niazi SK
2026 Aug 10
置信度 0.82
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pubmed
Stanković I, Jeličić L, Đorđević J, Ilić N 等
2026 Aug 8
置信度 0.82
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The Master Outline provides the structural overview of the fifteen theoretical frameworks that form the Evolutionary Frameworks Project. It defines the project’s architecture, thematic clusters and cross‑framework relationships without disclosing individual fr…
datacite
Genc, Kaya, John, Silas Njiru, Barkell, James
2026
置信度 0.66
Evolutionary biologyPhysiologyMetabolismBiophysicsNeuroscience
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The Master Outline provides the structural overview of the fifteen theoretical frameworks that form the Evolutionary Frameworks Project. It defines the project’s architecture, thematic clusters and cross‑framework relationships without disclosing individual fr…
datacite
Genc, Kaya, John, Silas Njiru, Barkell, James
2026
置信度 0.66
Evolutionary biologyPhysiologyMetabolismBiophysicsNeuroscience
-
Recent advances at the intersection of control theory, neuroscience, and machine learning have revealed novel mechanisms by which dynamical systems perform computation. These advances encompass a wide range of conceptual, mathematical, and computational ideas,…
datacite
Montanari, Arthur N., Bullo, Francesco, Krotov, Dmitry, Motter, Adilson E.
2026
置信度 0.66
Machine Learning (cs.LG)Disordered Systems and Neural Networks (cond-mat.dis-nn)Systems and Control (eess.SY)Dynamical Systems (math.DS)Neurons and Cognition (q-bio.NC)
-
Neural network models capable of storing memory have been extensively studied in computer science and computational neuroscience. The Hopfield network is a prototypical example of a model designed for associative, or content-addressable, memory and has been an…
datacite
Cafiso, Marco, Paradisi, Paolo
2025
置信度 0.66
Neurons and Cognition (q-bio.NC)Artificial Intelligence (cs.AI)Adaptation and Self-Organizing Systems (nlin.AO)Biological Physics (physics.bio-ph)FOS: Biological sciences
-
Second-person neuroscience holds social cognition as embodied meaning co-regulation through reciprocal interaction, modeled here as coupled active inference with affect emerging as inference over identity-relevant surprise. Each agent maintains a self-model th…
datacite
Hinrichs, Nicolas, Albarracin, Mahault, Bolis, Dimitris, Jiang, Yuyue 等
2025
置信度 0.66
Neurons and Cognition (q-bio.NC)FOS: Biological sciences
-
We present a new modeling paradigm for optimization that we call random field optimization. Random fields are a powerful modeling abstraction that aims to capture the behavior of random variables that live on infinite-dimensional spaces (e.g., space and time) …
datacite
Pulsipher, Joshua L., Davidson, Benjamin R., Zavala, Victor M.
2022
置信度 0.66
Optimization and Control (math.OC)FOS: Mathematics
-
Neuromorphic computing is closely associated with spiking neuronal networks. However, an alternative class of so-called "rate-based" models arising from computational neuroscience and machine learning forgoes spiking interactions and instead relies on continuo…
datacite
Jordan, Jakob, Richter, Ole, Li, Congyang, Petrovici, Mihai A. 等
2026
置信度 0.66
Hardware Architecture (cs.AR)Quantitative Methods (q-bio.QM)FOS: Computer and information sciencesFOS: Biological sciences
-
DESCRIPTION Document No. 5 – ADP–TRIFORMER Methodological Model v1.0 EN presents the universal methodological framework of Differentics, establishing a systematic approach for analyzing, modeling, transforming and generating Difference across scientific discip…
datacite
Grebliunas, Giedrius
2026
置信度 0.66
# KEYWORDS Differentics, ADP–TRIFORMER, Difference Theory, Difference Methodology, General Logic of Difference, Difference Analysis, Difference Formation, Difference Transformation, Difference Stabilization, Difference Generation, Algorithm, Data, Processor, Recursive Systems, Information Theory, Systems Theory, Artificial Intelligence, Computational Modeling, Emergence, Complexity Science, Formal Methodology, Interdisciplinary Research.
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DESCRIPTION Document No. 5 – ADP–TRIFORMER Methodological Model v1.0 EN presents the universal methodological framework of Differentics, establishing a systematic approach for analyzing, modeling, transforming and generating Difference across scientific discip…
datacite
Grebliunas, Giedrius
2026
置信度 0.66
# KEYWORDS Differentics, ADP–TRIFORMER, Difference Theory, Difference Methodology, General Logic of Difference, Difference Analysis, Difference Formation, Difference Transformation, Difference Stabilization, Difference Generation, Algorithm, Data, Processor, Recursive Systems, Information Theory, Systems Theory, Artificial Intelligence, Computational Modeling, Emergence, Complexity Science, Formal Methodology, Interdisciplinary Research.
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Neuromarketing is an emerging interdisciplinary field that combines neuroscience, psychology, and marketing to understand consumers’ subconscious responses to marketing stimuli. Traditional marketing methods rely on self-reported data, which may not accurately…
datacite
Dr. Kalyanrao Kulkarni, Viveka Priya P, Baswaling, Sachin S
2026
置信度 0.66
NeuromarketingConsumer BehaviourSubconscious MindDecision-MakingEmotional Marketing
-
Neuromarketing is an emerging interdisciplinary field that combines neuroscience, psychology, and marketing to understand consumers’ subconscious responses to marketing stimuli. Traditional marketing methods rely on self-reported data, which may not accurately…
datacite
Dr. Kalyanrao Kulkarni, Viveka Priya P, Baswaling, Sachin S
2026
置信度 0.66
NeuromarketingConsumer BehaviourSubconscious MindDecision-MakingEmotional Marketing
-
Computational neuroscience is a branch of the neurosciences that attempts to elucidate the principles underlying the operation of neurons with the help of mathematical modeling. In contrast with a number of fields pursuing a tightly related goal, such as machi…
datacite
Badel, Laurent
2009
置信度 0.66
cortexI-V curveintegrate-and-firerefractorinessspike-triggered average
-
A geometric reframing of sleep staging. We propose that sleep is usefully described not as a classification problem over discrete stages but as geometric flow on a compact manifold of neural states, with the Clifford torus (T² ⊂ S³ ⊂ ℝ⁴) serving as a natural c…
datacite
Perea Gallego, Carlos Javier
2026
置信度 0.66
sleep stagingClifford torusTakens delay embeddinginterpretable machine learningtopological neural features
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A geometric reframing of sleep staging. We propose that sleep is usefully described not as a classification problem over discrete stages but as geometric flow on a compact manifold of neural states, with the Clifford torus (T² ⊂ S³ ⊂ ℝ⁴) serving as a natural c…
datacite
Perea Gallego, Carlos Javier
2026
置信度 0.66
sleep stagingClifford torusTakens delay embeddinginterpretable machine learningtopological neural features
-
Supersession Note — April 30, 2026 This CODES-era work is an exploratory predecessor and is no longer the canonical statement of the author’s program. It has been superseded by the identity-persistence stack: Universal Identity and Persistence: https://zenodo.…
datacite
Bostick, Devin
2025
置信度 0.66
Cognitive SciencePhilosophy of MindTheoretical NeuroscienceComputational neuroscienceSystems Biology
-
Supersession Note — April 30, 2026 This CODES-era work is an exploratory predecessor and is no longer the canonical statement of the author’s program. It has been superseded by the identity-persistence stack: Universal Identity and Persistence: https://zenodo.…
datacite
Bostick, Devin
2025
置信度 0.66
Cognitive SciencePhilosophy of MindTheoretical NeuroscienceComputational neuroscienceSystems Biology
-
Objective: Recent studies demonstrate that functional connectomes contain subject-specific signatures, or \textit{fingerprints}, that can identify individuals across repeated sessions and tasks. Existing methods mostly rely on edge-level features that are sens…
datacite
Athamnah, Sema, Aviyente, Selin
2026
置信度 0.66
Neurons and Cognition (q-bio.NC)Machine Learning (cs.LG)Signal Processing (eess.SP)FOS: Biological sciencesFOS: Computer and information sciences
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The Canonical Lexicon provides the current-state reference to Zenetist vocabulary, rendering core terms in post-tightening canonical language while preserving their relation to the founding glossary seats. Document class: Infrastructure — Zenetist Canon / Cons…
datacite
Aelion Kannon
2026
置信度 0.66
ZenetismAelion KannonCanonical LexiconZenetist vocabularycanonical stabilization
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We present a motivational architecture ("a wanting circuit") for a persistent machine agent operating in a long-term relationship with a human guardian. The design is grounded in the modern affective neuroscience it borrows from — four dissociable signals (hom…
datacite
Morgan, Jeffrey Allen
2026
置信度 0.66
AI safetyMotivation architectureReward hackingWireheadingCorrigibility
-
We present a motivational architecture ("a wanting circuit") for a persistent machine agent operating in a long-term relationship with a human guardian. The design is grounded in the modern affective neuroscience it borrows from — four dissociable signals (hom…
datacite
Morgan, Jeffrey Allen
2026
置信度 0.66
AI safetyMotivation architectureReward hackingWireheadingCorrigibility
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CERE is an independent practice creating experiential art about perception and neuroscience, presenting phenomena through direct sensory encounters that visitors experience before receiving any written explanation. Its first public program, CERE Collection 01:…
datacite
Krasnikova, Mariia
2026
置信度 0.66
multisensory perceptionpreregistered protocol
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CERE is an independent practice creating experiential art about perception and neuroscience, presenting phenomena through direct sensory encounters that visitors experience before receiving any written explanation. Its first public program, CERE Collection 01:…
datacite
Krasnikova, Mariia
2026
置信度 0.66
multisensory perceptionpreregistered protocol
-
Public implementation scaffold for ontology-constrained literature synthesis using local large language model councils, HPC-36 predictive-coding factors, local/global oddball scoring, and auditable model-derived evidence annotations.
datacite
Nejat, Hamed, Westerberg, Jacob A., Maier, Alexander, Spencer-Smith, Jesse 等
2026
置信度 0.66
predictive codinglarge language modelsliterature synthesisontology-constrained scoringcomputational neuroscience
-
Public implementation scaffold for ontology-constrained literature synthesis using local large language model councils, HPC-36 predictive-coding factors, local/global oddball scoring, and auditable model-derived evidence annotations.
datacite
Nejat, Hamed, Westerberg, Jacob A., Maier, Alexander, Spencer-Smith, Jesse 等
2026
置信度 0.66
predictive codinglarge language modelsliterature synthesisontology-constrained scoringcomputational neuroscience
-
This dataset is a NEMAR re-host and EMG-BIDS conversion of the public Meta emg2pose benchmark, comprising surface electromyography (sEMG) recordings paired with hand pose labels for wrist-worn EMG-based hand pose estimation. It includes 2 kHz, 16-channel sEMG …
datacite
Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr 等
2026
置信度 0.66
ElectromyographyHand pose estimationsurface EMGmotion captureinverse kinematics
-
This dataset is a NEMAR re-host and EMG-BIDS conversion of the Meta emg2pose benchmark, comprising surface electromyography (sEMG) recordings paired with hand pose labels for hand pose estimation research. It includes 2 kHz, 16-channel wrist sEMG signals synch…
datacite
Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr 等
2026
置信度 0.66
ElectromyographyHand pose estimationsurface EMGmotion capturebenchmark dataset
-
Intraocular lens selection following cataract surgery has implications beyond refractive correction, with different lens chromophore compositions potentially affecting retinal light exposure and downstream visual and circadian outcomes. Understanding the long-…
datacite
Fatih A Ceylan, Olcay Tatar Kartaloğlu, İbrahim E Yılmaz
2026
置信度 0.66
Space ScienceMedicineCell BiologyNeurosciencePhysiology
-
Intraocular lens selection following cataract surgery has implications beyond refractive correction, with different lens chromophore compositions potentially affecting retinal light exposure and downstream visual and circadian outcomes. Understanding the long-…
datacite
Fatih A Ceylan, Olcay Tatar Kartaloğlu, İbrahim E Yılmaz
2026
置信度 0.66
Space ScienceMedicineCell BiologyNeurosciencePhysiology
-
TRIAD 6.2‑dev Monograph: A Formal Ontology of Coherence, Trauma Therapy, and Safe AI — with Seven Architectural Invariants, Information‑Valence Gate, and Social Validation Author: Valeriia Zaiats (Валерия Заяц) ORCID: 0009-0002-6891-9227 Licence: CC BY‑NC‑ND 4…
datacite
Zaiats, Valeriia
2026
置信度 0.66
Active InferenceFree Energy PrincipleComputational PsychiatryAI SafetyAI Alignment