Cover Image

Neural Circuit Architectural Priors for Quadruped Locomotion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhattasali, Nikhil X., Pattabiraman, Venkatesh, Pinto, Lerrel, Lindsay, Grace W.
Format:	Preprint
Published:	2024
Subjects:	Neurons and Cognition Artificial Intelligence Machine Learning Neural and Evolutionary Computing Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Impact of Structural Changes on Learning Capacity in the Fly Olfactory Neural Circuit
by: Xie, Katherine, et al.
Published: (2025)

Consciousness is entailed by compositional learning of new causal structures in deep predictive processing systems
by: Aksyuk, V. A.
Published: (2023)

Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations
by: Stoewer, Paul, et al.
Published: (2023)

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
by: Sun, Kai, et al.
Published: (2025)

A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks
by: Dawes, Cutter, et al.
Published: (2025)

Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
by: Liu, Zhuo, et al.
Published: (2025)

Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
by: Wang, Zhaoze, et al.
Published: (2024)

Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures
by: Yu, Siyu, et al.
Published: (2025)

StableSleep: Source-Free Test-Time Adaptation for Sleep Staging with Lightweight Safety Rails
by: Arasu, Hritik, et al.
Published: (2025)

pyhgf: A neural network library for predictive coding
by: Legrand, Nicolas, et al.
Published: (2024)

Cycle is All You Need: More Is Different
by: Li, Xin
Published: (2025)

Getting aligned on representational alignment
by: Sucholutsky, Ilia, et al.
Published: (2023)

Evolutionary Algorithm for Reservoir Learning and Yielding
by: Testu, Julien, et al.
Published: (2026)

The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
by: Spieler, Aaron, et al.
Published: (2023)

Brain-Model Evaluations Need the NeuroAI Turing Test
by: Feather, Jenelle, et al.
Published: (2025)

Self-orthogonalizing attractor neural networks emerging from the free energy principle
by: Spisak, Tamas, et al.
Published: (2025)

Causal pieces: analysing and improving spiking neural networks piece by piece
by: Dold, Dominik, et al.
Published: (2025)

Generalisation to unseen topologies: Towards control of biological neural network activity
by: Engwegen, Laurens, et al.
Published: (2024)

Revealing Vision-Language Integration in the Brain with Multimodal Networks
by: Subramaniam, Vighnesh, et al.
Published: (2024)

How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Symbols
by: Tresp, Volker, et al.
Published: (2024)

Bridging Generative Networks with the Common Model of Cognition
by: West, Robert L., et al.
Published: (2024)

Functional connectomes of neural networks
by: Songdechakraiwut, Tananun, et al.
Published: (2024)

SymSeqBench: a unified framework for the generation and analysis of rule-based symbolic sequences and datasets
by: Zajzon, Barna, et al.
Published: (2025)

Range, not Independence, Drives Modularity in Biologically Inspired Representations
by: Dorrell, Will, et al.
Published: (2024)

Self-Evidencing Through Hierarchical Gradient Decomposition: A Dissipative System That Maintains Non-Equilibrium Steady-State by Minimizing Variational Free Energy
by: McCulloch, Michael James
Published: (2025)

Dynamical similarity analysis can identify compositional dynamics developing in RNNs
by: Guilhot, Quentin, et al.
Published: (2024)

Equivalence of approximation by networks of single- and multi-spike neurons
by: Dold, Dominik, et al.
Published: (2026)

VarCoNet: A variability-aware self-supervised framework for functional connectome extraction from resting-state fMRI
by: Lamprou, Charalampos, et al.
Published: (2025)

Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help
by: Han, Keqi, et al.
Published: (2025)

Theories of synaptic memory consolidation and intelligent plasticity for continual learning
by: Zenke, Friedemann, et al.
Published: (2024)

Dynamics of specialization in neural modules under resource constraints
by: Béna, Gabriel, et al.
Published: (2021)

Are Grid Cells Hexagonal for Performance or by Convenience?
by: Mir, Taahaa, et al.
Published: (2024)

Evolving Cognitive Architectures
by: Serov, Alexander
Published: (2025)

A Unified Cortical Circuit Model with Divisive Normalization and Self-Excitation for Robust Representation and Memory Maintenance
by: Su, Jie, et al.
Published: (2025)

Unambiguous Representations in Neural Networks: An Information-Theoretic Approach to Intentionality
by: Lässig, Francesco
Published: (2025)

Neural Manifolds and Cognitive Consistency: A New Approach to Memory Consolidation in Artificial Systems
by: Nguyen, Phuong-Nam
Published: (2025)

Learning Internal Biological Neuron Parameters and Complexity-Based Encoding for Improved Spiking Neural Networks Performance
by: Rudnicka, Zofia, et al.
Published: (2025)

Neuropsychology and Explainability of AI: A Distributional Approach to the Relationship Between Activation Similarity of Neural Categories in Synthetic Cognition
by: Pichat, Michael, et al.
Published: (2024)

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
by: Liu, Yuhan Helena, et al.
Published: (2025)

Expressivity of Neural Networks with Random Weights and Learned Biases
by: Williams, Ezekiel, et al.
Published: (2024)