Systems Explaining Systems: A Framework for Intelligence and Consciousness
Fuente:
arXiv
Saved in:
| Main Author: | Semmler, Sean Niklas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Wanting to Be Understood Explains the Meta-Problem of Consciousness
by: Fernando, Chrisantha, et al.
Published: (2025)
by: Fernando, Chrisantha, et al.
Published: (2025)
TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
by: Meszéna, Balázs, et al.
Published: (2026)
by: Meszéna, Balázs, et al.
Published: (2026)
Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration
by: Zheng, Xiaoping, et al.
Published: (2023)
by: Zheng, Xiaoping, et al.
Published: (2023)
Grounded Computation & Consciousness: A Framework for Exploring Consciousness in Machines & Other Organisms
by: Williams, Ryan
Published: (2024)
by: Williams, Ryan
Published: (2024)
Discovering Mechanistic Models of Neural Activity: System Identification in an in Silico Zebrafish
by: Lueckmann, Jan-Matthis, et al.
Published: (2026)
by: Lueckmann, Jan-Matthis, et al.
Published: (2026)
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review
by: Sharifrazi, Danial, et al.
Published: (2024)
by: Sharifrazi, Danial, et al.
Published: (2024)
A New Strategy for Artificial Intelligence: Training Foundation Models Directly on Human Brain Data
by: Donoso, Maël
Published: (2026)
by: Donoso, Maël
Published: (2026)
Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
by: Thapaliya, Bishal, et al.
Published: (2023)
by: Thapaliya, Bishal, et al.
Published: (2023)
Dream2Image : An Open Multimodal EEG Dataset for Decoding and Visualizing Dreams with Artificial Intelligence
by: Bellec, Yann
Published: (2025)
by: Bellec, Yann
Published: (2025)
Explore Brain-Inspired Machine Intelligence for Connecting Dots on Graphs Through Holographic Blueprint of Oscillatory Synchronization
by: Dan, Tingting, et al.
Published: (2026)
by: Dan, Tingting, et al.
Published: (2026)
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
by: Thapaliya, Bishal, et al.
Published: (2024)
by: Thapaliya, Bishal, et al.
Published: (2024)
Consciousness as Uncommon Self-Knowledge: A Synergistic Information Framework
by: Tallam, Krti
Published: (2026)
by: Tallam, Krti
Published: (2026)
Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning
by: Wang, Yanwen, et al.
Published: (2025)
by: Wang, Yanwen, et al.
Published: (2025)
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
by: Vilas, Martina G., et al.
Published: (2024)
by: Vilas, Martina G., et al.
Published: (2024)
A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness
by: Hoel, Erik
Published: (2025)
by: Hoel, Erik
Published: (2025)
Probing for Consciousness in Machines
by: Immertreu, Mathis, et al.
Published: (2024)
by: Immertreu, Mathis, et al.
Published: (2024)
Which Consciousness Can Be Artificialized? Local Percept-Perceiver Phenomenon for the Existence of Machine Consciousness
by: Singh, Shri Lal Raghudev Ram
Published: (2025)
by: Singh, Shri Lal Raghudev Ram
Published: (2025)
Consciousness qua Mortal Computation
by: Kleiner, Johannes
Published: (2024)
by: Kleiner, Johannes
Published: (2024)
Artificial Consciousness as Interface Representation
by: Prentner, Robert
Published: (2025)
by: Prentner, Robert
Published: (2025)
The Quantification Horizon Theory of Consciousness
by: Le, T. R.
Published: (2017)
by: Le, T. R.
Published: (2017)
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
by: Xu, Jiaxing, et al.
Published: (2024)
by: Xu, Jiaxing, et al.
Published: (2024)
Mentality: A Mamba-based Approach towards Foundation Models for EEG
by: Panchavati, Saarang, et al.
Published: (2025)
by: Panchavati, Saarang, et al.
Published: (2025)
A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models
by: Cho, SungJun, et al.
Published: (2026)
by: Cho, SungJun, et al.
Published: (2026)
A data-driven approach to modeling brain activity using differential equations
by: Andrey, Kuratov
Published: (2024)
by: Andrey, Kuratov
Published: (2024)
Sophisticated Learning: A novel algorithm for active learning during model-based planning
by: Hodson, Rowan, et al.
Published: (2023)
by: Hodson, Rowan, et al.
Published: (2023)
Multimodal Dreaming: A Global Workspace Approach to World Model-Based Reinforcement Learning
by: Maytié, Léopold, et al.
Published: (2025)
by: Maytié, Léopold, et al.
Published: (2025)
Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization
by: Ouyang, Kaichen
Published: (2025)
by: Ouyang, Kaichen
Published: (2025)
Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research
by: Duan, Chenda, et al.
Published: (2026)
by: Duan, Chenda, et al.
Published: (2026)
Marti-5: A Mathematical Model of "Self in the World" as a First Step Toward Self-Awareness
by: Pivovarov, Igor, et al.
Published: (2025)
by: Pivovarov, Igor, et al.
Published: (2025)
Accuracy-Efficiency Trade-Offs in Spiking Neural Networks: A Lempel-Ziv Complexity Perspective on Learning Rules
by: Rudnicka, Zofia, et al.
Published: (2025)
by: Rudnicka, Zofia, et al.
Published: (2025)
The Principles of Human-like Conscious Machine
by: Li, Fangfang, et al.
Published: (2025)
by: Li, Fangfang, et al.
Published: (2025)
Dissociating Artificial Intelligence from Artificial Consciousness
by: Findlay, Graham, et al.
Published: (2024)
by: Findlay, Graham, et al.
Published: (2024)
A Modular Theory of Subjective Consciousness for Natural and Artificial Minds
by: Gillon, Michaël
Published: (2025)
by: Gillon, Michaël
Published: (2025)
JEDI: Jointly Embedded Inference of Neural Dynamics
by: Jamkhandi, Anirudh, et al.
Published: (2026)
by: Jamkhandi, Anirudh, et al.
Published: (2026)
Metabolic cost of information processing in Poisson variational autoencoders
by: Vafaii, Hadi, et al.
Published: (2026)
by: Vafaii, Hadi, et al.
Published: (2026)
Leakage and Second-Order Dynamics Improve Hippocampal RNN Replay
by: Casco-Rodriguez, Josue, et al.
Published: (2026)
by: Casco-Rodriguez, Josue, et al.
Published: (2026)
Credit Assignment via Neural Manifold Noise Correlation
by: Kang, Byungwoo, et al.
Published: (2026)
by: Kang, Byungwoo, et al.
Published: (2026)
Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation
by: Fountas, Zafeirios, et al.
Published: (2026)
by: Fountas, Zafeirios, et al.
Published: (2026)
Support Sufficiency as Consequence-Sensitive Compression in Belief Arbitration
by: Walsh, Mark
Published: (2026)
by: Walsh, Mark
Published: (2026)
Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay
by: Oota, Subba Reddy, et al.
Published: (2026)
by: Oota, Subba Reddy, et al.
Published: (2026)
Similar Items
-
Wanting to Be Understood Explains the Meta-Problem of Consciousness
by: Fernando, Chrisantha, et al.
Published: (2025) -
TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
by: Meszéna, Balázs, et al.
Published: (2026) -
Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration
by: Zheng, Xiaoping, et al.
Published: (2023) -
Grounded Computation & Consciousness: A Framework for Exploring Consciousness in Machines & Other Organisms
by: Williams, Ryan
Published: (2024) -
Discovering Mechanistic Models of Neural Activity: System Identification in an in Silico Zebrafish
by: Lueckmann, Jan-Matthis, et al.
Published: (2026)