Neural Network Architecture of Embodied Intelligence

No abstract is available for this paper.

• Publication year

  2024

• Venue

  Automatic Documentation and Mathematical Linguistics

• Publication date

  2024-09-06

• Fields of study

  Not labeled

• Identifiers
  DOI 10.3103/S0005105525700311
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• SelfIE: Self-Interpretation of Large Language Model Embeddings

  2024cited by this paper
• Bio-Inspired Neural Network Architecture of Embodied Intelligence

  2024cited by this paper
• The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

  2023cited by this paper
• Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students

  2023cited by this paper
• A Novel Artificial Neural Networks Architecture Based on Cerebellum Model

  2023cited by this paper
• Sparks of Artificial General Intelligence: Early experiments with GPT-4

  2023cited by this paper
• GPT-4 Technical Report

  2023cited by this paper
• Dynamically Predicting Wi-Fi Coverage Mapping Using Bioinspired Neural Networks

  2023cited by this paper
• Energy-shaping control of a muscular octopus arm moving in three dimensions

  2022cited by this paper
• Embodied intelligence via learning and evolution

  2021cited by this paper
• Physical intelligence as a new paradigm

  2021cited by this paper
• A Numerical Method for Solving Ordinary Differential Equations by Converting Them into the Form of a Shannon

  2021cited by this paper
• A Survey of Embodied AI: From Simulators to Research Tasks

  2021cited by this paper
• Origins, Development, and Compartmentation of the Granule Cells of the Cerebellum

  2021cited by this paper
• 50 years since the Marr, Ito, and Albus models of the cerebellum.

  2020cited by this paper
• Boltzmann Machines as Generalized Hopfield Networks: A Review of Recent Results and Outlooks

  2020cited by this paper
• Language Models are Few-Shot Learners

  2020cited by this paper
• The Cerebro-Cerebellum as a Locus of Forward Model: A Review

  2020cited by this paper
• Motor control pathways in the nervous system of Octopus vulgaris arm

  2019cited by this paper
• Implicit Learning in Artificial Intelligence

  2019cited by this paper
• Apraxias

  2018cited by this paper
• Deep Cerebellar Nuclei (DCN) and Language

  2015cited by this paper
• Embodied Intelligence

  2015cited by this paper
• An Option Space for Early Neural Evolution

  2015cited by this paper
• The cerebellar Golgi cell and spatiotemporal organization of granular layer activity

  2013cited by this paper
• Error correction, sensory prediction, and adaptation in motor control.

  2010cited by this paper
• Coordinated Scaling of Cortical and Cerebellar Numbers of Neurons

  2010cited by this paper
• Apraxia and the parietal lobes.

  2009cited by this paper
• Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting

  2006cited by this paper
• Classification of bursting Mappings

  2004cited by this paper
• Publisher's Note

  2003cited by this paper
• Embodied cognition

  2003cited by this paper
• The Analogue Alternative: The Electronic Analogue Computer in Britain and the USA, 1930-1975

  2001cited by this paper
• Memory Systems In Organizations: An Empirical Investigation Of Mechanisms For Knowledge Collection, Storage And Access

  2000cited by this paper
• The function of cerebellar Golgi cells revisited.

  2000cited by this paper
• Networks of Spiking Neurons: The Third Generation of Neural Network Models

  1996cited by this paper
• Forward Models for Physiological Motor Control

  1996cited by this paper
• Implicit learning.

  1994cited by this paper
• Original Contribution: Approximation of dynamical systems by continuous time recurrent neural networks

  1993cited by this paper
• Frames of Mind: The Theory of Multiple Intelligences

  1986cited by this paper
• The cerebellum and neural control

  1984cited by this paper
• A new approach to linear filtering and prediction problems" transaction of the asme~journal of basic

  1960cited by this paper

• Emerging wurtzite ferroelectrics and their prospect in embodied intelligence neuromorphic devices

  2026cites this paper
• Innovative Exploration of On-site Engineer Training Mode Guided based on Embodied STEM Concepts and Neural Network Analysis

  2025cites this paper