Cover Image

The brain versus AI: World-model-based versatile circuit computation underlying diverse functions in the neocortex and cerebellum

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ohmae, Shogo, Ohmae, Keiko
Format:	Preprint
Published:	2024
Subjects:	Neurons and Cognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The brain-AI convergence: Predictive and generative world models for general-purpose computation
by: Ohmae, Shogo, et al.
Published: (2025)

From generative AI to the brain: five takeaways
by: Gros, Claudius
Published: (2025)

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

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

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

Mapping generative AI use in the human brain: divergent neural, academic, and mental health profiles of functional versus socio emotional AI use
by: Wang, Junjie, et al.
Published: (2026)

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

A differentiable brain simulator bridging brain simulation and brain-inspired computing
by: Wang, Chaoming, et al.
Published: (2023)

Representation learning in cerebellum-like structures
by: Rudelt, Lucas, et al.
Published: (2025)

Individual brain parcellation: Review of methods, validations and applications
by: Li, Chengyi, et al.
Published: (2024)

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

Attention acts to suppress goal-based conflict under high competition
by: Claflin, Omar
Published: (2016)

Allostatic Control of Persistent States in Spiking Neural Networks for perception and computation
by: Htet, Aung, et al.
Published: (2025)

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

fMRI predictors based on language models of increasing complexity recover brain left lateralization
by: Bonnasse-Gahot, Laurent, et al.
Published: (2024)

Subjective functions
by: Gershman, Samuel J.
Published: (2025)

Challenges in Grounding Language in the Real World
by: Lindes, Peter, et al.
Published: (2025)

Simulating Human Cognition: Heartbeat-Driven Autonomous Thinking Activity Scheduling for LLM-based AI systems
by: Su, Hong
Published: (2026)

Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes
by: Lu, Qihong, et al.
Published: (2023)

Towards model-based design of causal manipulations of brain circuits with high spatiotemporal precision
by: De, Anandita, et al.
Published: (2025)

Parsing altered brain connectivity in neurodevelopmental disorders by integrating graph-based normative modeling and deep generative networks
by: Shen, Rui Sherry, et al.
Published: (2024)

"Just in Time" World Modeling Supports Human Planning and Reasoning
by: Chen, Tony, et al.
Published: (2026)

CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
by: Yu, Haofei, et al.
Published: (2026)

The Cartesian Cut in Agentic AI
by: Sainburg, Tim, et al.
Published: (2026)

Emergence of psychopathological computations in large language models
by: Lee, Soo Yong, et al.
Published: (2025)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
by: Oota, Subba Reddy, et al.
Published: (2025)

Scale-Invariance Drives Convergence in AI and Brain Representations
by: Yu, Junjie, et al.
Published: (2025)

A data-driven approach to modeling brain activity using differential equations
by: Andrey, Kuratov
Published: (2024)

Shifting Attention to You: Personalized Brain-Inspired AI Models
by: Zhao, Stephen Chong, et al.
Published: (2025)

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
by: Mao, Rui, et al.
Published: (2025)

A Case for AI Consciousness: Language Agents and Global Workspace Theory
by: Goldstein, Simon, et al.
Published: (2024)

Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
by: Arslan, Suayb S.
Published: (2024)

Morality in AI. A plea to embed morality in LLM architectures and frameworks
by: Bombaerts, Gunter, et al.
Published: (2025)

From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?
by: Serre, Thomas, et al.
Published: (2025)

Accessing the topological properties of human brain functional sub-circuits in Echo State Networks
by: Nguyen, Bach, et al.
Published: (2024)

A principled framework to assess the information-theoretic fitness of brain functional sub-circuits
by: Duong-Tran, Duy, et al.
Published: (2024)

Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
by: Saxena, Rajat, et al.
Published: (2024)

Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison
by: Cao, Yuang, et al.
Published: (2025)

State-dependent brain responsiveness, from local circuits to the whole brain
by: Destexhe, A., et al.
Published: (2025)

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