Saved in:
| Main Authors: | Cohen, Laura, Hinaut, Xavier, Petrova, Lilyana, Pitti, Alexandre, Reynal, Syd, Tsuda, Ichiro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.07060 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evolutionary Algorithm for Reservoir Learning and Yielding
by: Testu, Julien, et al.
Published: (2026)
by: Testu, Julien, et al.
Published: (2026)
Vision Language Models Know Law of Conservation without Understanding More-or-Less
by: Luo, Dezhi, et al.
Published: (2024)
by: Luo, Dezhi, et al.
Published: (2024)
The Nature of Intelligence
by: You, Barco Jie
Published: (2023)
by: You, Barco Jie
Published: (2023)
Emergence of Functionally Differentiated Structures via Mutual Information Minimization in Recurrent Neural Networks
by: Tomoda, Yuki, et al.
Published: (2025)
by: Tomoda, Yuki, et al.
Published: (2025)
Brain-inspired and Self-based Artificial Intelligence
by: Zeng, Yi, et al.
Published: (2024)
by: Zeng, Yi, et al.
Published: (2024)
Principles of frugal inference and control
by: Olivos-Castillo, Itzel, et al.
Published: (2024)
by: Olivos-Castillo, Itzel, et al.
Published: (2024)
Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors
by: Cross, Logan, et al.
Published: (2025)
by: Cross, Logan, 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)
Possible Principles for Aligned Structure Learning Agents
by: Da Costa, Lancelot, et al.
Published: (2024)
by: Da Costa, Lancelot, et al.
Published: (2024)
An Uncertainty Principle for Probabilistic Computation in the Retina
by: Taranath, Jayanth R, et al.
Published: (2025)
by: Taranath, Jayanth R, et al.
Published: (2025)
Computational Thought Experiments for a More Rigorous Philosophy and Science of the Mind
by: Oved, Iris, et al.
Published: (2024)
by: Oved, Iris, et al.
Published: (2024)
Synthetic Data Generation for Classifying Electrophysiological and Morpho-Electrophysiological Neurons from Mouse Visual Cortex
by: Vasques, Xavier, et al.
Published: (2025)
by: Vasques, Xavier, et al.
Published: (2025)
Modularity is the Bedrock of Natural and Artificial Intelligence
by: Salatiello, Alessandro
Published: (2026)
by: Salatiello, Alessandro
Published: (2026)
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data
by: Zheng, Shengjie, et al.
Published: (2022)
by: Zheng, Shengjie, et al.
Published: (2022)
Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test
by: Hao, Guangfu, et al.
Published: (2025)
by: Hao, Guangfu, et al.
Published: (2025)
Building Artificial Intelligence with Creative Agency and Self-hood
by: Gabora, Liane, et al.
Published: (2024)
by: Gabora, Liane, et al.
Published: (2024)
The Thousand Brains Project: A New Paradigm for Sensorimotor Intelligence
by: Clay, Viviane, et al.
Published: (2024)
by: Clay, Viviane, et al.
Published: (2024)
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
by: Campbell, Declan, et al.
Published: (2024)
by: Campbell, Declan, et al.
Published: (2024)
The Computational Mechanisms of Detached Mindfulness
by: Conway-Smith, Brendan, et al.
Published: (2024)
by: Conway-Smith, Brendan, et al.
Published: (2024)
Consciousness qua Mortal Computation
by: Kleiner, Johannes
Published: (2024)
by: Kleiner, Johannes
Published: (2024)
A Modular Theory of Subjective Consciousness for Natural and Artificial Minds
by: Gillon, Michaël
Published: (2025)
by: Gillon, Michaël
Published: (2025)
Mortal Computation: A Foundation for Biomimetic Intelligence
by: Ororbia, Alexander, et al.
Published: (2023)
by: Ororbia, Alexander, et al.
Published: (2023)
Learning Discrete Successor Transitions in Continuous Attractor Networks: Emergence, Limits, and Topological Constraints
by: Brownell, Daniel
Published: (2026)
by: Brownell, Daniel
Published: (2026)
Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks
by: Pichat, Michael
Published: (2024)
by: Pichat, Michael
Published: (2024)
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
by: Arslan, Suayb S.
Published: (2024)
by: Arslan, Suayb S.
Published: (2024)
Metalearning-Informed Competence in Children: Implications for Responsible Brain-Inspired Artificial Intelligence
by: Singh, Chaitanya
Published: (2023)
by: Singh, Chaitanya
Published: (2023)
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies
by: Qu, Gang, et al.
Published: (2024)
by: Qu, Gang, et al.
Published: (2024)
Orangutan: A Multiscale Brain Emulation-Based Artificial Intelligence Framework for Dynamic Environments
by: Xie, Yong
Published: (2024)
by: Xie, Yong
Published: (2024)
Report on Candidate Computational Indicators for Conscious Valenced Experience
by: Campero, Andres
Published: (2024)
by: Campero, Andres
Published: (2024)
Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems
by: Mathis, Mackenzie Weygandt
Published: (2024)
by: Mathis, Mackenzie Weygandt
Published: (2024)
Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2025)
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2025)
Why the Brain Cannot Be a Digital Computer: History-Dependence and the Computational Limits of Consciousness
by: Knight, Andrew
Published: (2025)
by: Knight, Andrew
Published: (2025)
Disentangling the Factors of Convergence between Brains and Computer Vision Models
by: Raugel, Joséphine, et al.
Published: (2025)
by: Raugel, Joséphine, et al.
Published: (2025)
Grounded Computation & Consciousness: A Framework for Exploring Consciousness in Machines & Other Organisms
by: Williams, Ryan
Published: (2024)
by: Williams, Ryan
Published: (2024)
Morphological Neuron Classification Using Machine Learning
by: Vasques, Xavier, et al.
Published: (2025)
by: Vasques, Xavier, et al.
Published: (2025)
Metric-Topology Factorization: A Computational Framework for Hippocampal-Neocortical Intelligence
by: Li, Xin
Published: (2026)
by: Li, Xin
Published: (2026)
Getting More from Less: Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices
by: Coon, William G, et al.
Published: (2025)
by: Coon, William G, et al.
Published: (2025)
Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior
by: Carvalho, Wilka, et al.
Published: (2025)
by: Carvalho, Wilka, et al.
Published: (2025)
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
by: Oota, Subba Reddy, et al.
Published: (2023)
by: Oota, Subba Reddy, et al.
Published: (2023)
Automatic target validation based on neuroscientific literature mining for tractography
by: Vasques, Xavier, et al.
Published: (2025)
by: Vasques, Xavier, et al.
Published: (2025)
Similar Items
-
Evolutionary Algorithm for Reservoir Learning and Yielding
by: Testu, Julien, et al.
Published: (2026) -
Vision Language Models Know Law of Conservation without Understanding More-or-Less
by: Luo, Dezhi, et al.
Published: (2024) -
The Nature of Intelligence
by: You, Barco Jie
Published: (2023) -
Emergence of Functionally Differentiated Structures via Mutual Information Minimization in Recurrent Neural Networks
by: Tomoda, Yuki, et al.
Published: (2025) -
Brain-inspired and Self-based Artificial Intelligence
by: Zeng, Yi, et al.
Published: (2024)