:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Aksyuk, V. A.
Format:	Preprint
Publié:	2023
Sujets:	Neurons and Cognition Artificial Intelligence Machine Learning Neural and Evolutionary Computing Robotics
Accès en ligne:	https://arxiv.org/abs/2301.07016
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Neural Circuit Architectural Priors for Quadruped Locomotion
par: Bhattasali, Nikhil X., et autres
Publié: (2024)

pyhgf: A neural network library for predictive coding
par: Legrand, Nicolas, et autres
Publié: (2024)

Theories of synaptic memory consolidation and intelligent plasticity for continual learning
par: Zenke, Friedemann, et autres
Publié: (2024)

Dynamical similarity analysis can identify compositional dynamics developing in RNNs
par: Guilhot, Quentin, et autres
Publié: (2024)

Bayesian Theory of Consciousness as Exchangeable Emotion-Cognition Inference
par: Li, Xin
Publié: (2024)

Testing the Machine Consciousness Hypothesis
par: Fitz, Stephen
Publié: (2025)

How connectivity structure shapes rich and lazy learning in neural circuits
par: Liu, Yuhan Helena, et autres
Publié: (2023)

Getting aligned on representational alignment
par: Sucholutsky, Ilia, et autres
Publié: (2023)

Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations
par: Stoewer, Paul, et autres
Publié: (2023)

The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
par: Spieler, Aaron, et autres
Publié: (2023)

StableSleep: Source-Free Test-Time Adaptation for Sleep Staging with Lightweight Safety Rails
par: Arasu, Hritik, et autres
Publié: (2025)

The Impact of Structural Changes on Learning Capacity in the Fly Olfactory Neural Circuit
par: Xie, Katherine, et autres
Publié: (2025)

Cycle is All You Need: More Is Different
par: Li, Xin
Publié: (2025)

Evolutionary Algorithm for Reservoir Learning and Yielding
par: Testu, Julien, et autres
Publié: (2026)

Brain-Model Evaluations Need the NeuroAI Turing Test
par: Feather, Jenelle, et autres
Publié: (2025)

Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
par: Wang, Zhaoze, et autres
Publié: (2024)

Self-orthogonalizing attractor neural networks emerging from the free energy principle
par: Spisak, Tamas, et autres
Publié: (2025)

Causal pieces: analysing and improving spiking neural networks piece by piece
par: Dold, Dominik, et autres
Publié: (2025)

Generalisation to unseen topologies: Towards control of biological neural network activity
par: Engwegen, Laurens, et autres
Publié: (2024)

Revealing Vision-Language Integration in the Brain with Multimodal Networks
par: Subramaniam, Vighnesh, et autres
Publié: (2024)

How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Symbols
par: Tresp, Volker, et autres
Publié: (2024)

Bridging Generative Networks with the Common Model of Cognition
par: West, Robert L., et autres
Publié: (2024)

Functional connectomes of neural networks
par: Songdechakraiwut, Tananun, et autres
Publié: (2024)

SymSeqBench: a unified framework for the generation and analysis of rule-based symbolic sequences and datasets
par: Zajzon, Barna, et autres
Publié: (2025)

Range, not Independence, Drives Modularity in Biologically Inspired Representations
par: Dorrell, Will, et autres
Publié: (2024)

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

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
par: Sun, Kai, et autres
Publié: (2025)

Equivalence of approximation by networks of single- and multi-spike neurons
par: Dold, Dominik, et autres
Publié: (2026)

VarCoNet: A variability-aware self-supervised framework for functional connectome extraction from resting-state fMRI
par: Lamprou, Charalampos, et autres
Publié: (2025)

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

Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
par: Liu, Zhuo, et autres
Publié: (2025)

Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help
par: Han, Keqi, et autres
Publié: (2025)

Dynamics of specialization in neural modules under resource constraints
par: Béna, Gabriel, et autres
Publié: (2021)

Are Grid Cells Hexagonal for Performance or by Convenience?
par: Mir, Taahaa, et autres
Publié: (2024)

Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data
par: Delrocq, Ariane, et autres
Publié: (2026)

Hierarchical temporal receptive windows and zero-shot timescale generalization in biologically constrained scale-invariant deep networks
par: Sarkar, Aakash, et autres
Publié: (2026)

Differential learning kinetics govern the transition from memorization to generalization during in-context learning
par: Nguyen, Alex, et autres
Publié: (2024)

Competitive plasticity to reduce the energetic costs of learning
par: van Rossum, Mark CW
Publié: (2023)

On the relationship between predictive coding and backpropagation
par: Rosenbaum, Robert
Publié: (2021)

Implementing engrams from a machine learning perspective: XOR as a basic motif
par: de Lucas, Jesus Marco, et autres
Publié: (2024)