Copertina

Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Stoewer, Paul, Schilling, Achim, Maier, Andreas, Krauss, Patrick
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Neurons and Cognition Artificial Intelligence Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing
di: Metzner, Claus, et al.
Pubblicazione: (2024)

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

A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
di: Krausse, Sven, et al.
Pubblicazione: (2025)

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

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

Evolving Cognitive Architectures
di: Serov, Alexander
Pubblicazione: (2025)

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

Tuning the Weights: The Impact of Initial Matrix Configurations on Successor Features Learning Efficacy
di: Lee, Hyunsu
Pubblicazione: (2021)

Self-organized MT Direction Maps Emerge from Spatiotemporal Contrastive Optimization
di: Gu, Zhaotian, et al.
Pubblicazione: (2026)

Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
di: Wu, Wei, et al.
Pubblicazione: (2025)

How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
di: Pichat, Michael, et al.
Pubblicazione: (2024)

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

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

A Concept-Value Network as a Brain Model
di: Greer, Kieran
Pubblicazione: (2019)

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

ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks
di: Kriener, Laura, et al.
Pubblicazione: (2024)

NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration
di: Cai, Wuque, et al.
Pubblicazione: (2025)

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

Probing for Consciousness in Machines
di: Immertreu, Mathis, et al.
Pubblicazione: (2024)

Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems
di: Ramezani, Pegah, et al.
Pubblicazione: (2026)

Digital twin brain: a bridge between biological intelligence and artificial intelligence
di: Xiong, Hui, et al.
Pubblicazione: (2023)

Phase codes emerge in recurrent neural networks optimized for modular arithmetic
di: Murray, Keith T.
Pubblicazione: (2023)

How connectivity structure shapes rich and lazy learning in neural circuits
di: Liu, Yuhan Helena, et al.
Pubblicazione: (2023)

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

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

Modularity is the Bedrock of Natural and Artificial Intelligence
di: Salatiello, Alessandro
Pubblicazione: (2026)

Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems
di: Calle-Ortiz, Eduardo, et al.
Pubblicazione: (2025)

Implementing engrams from a machine learning perspective: XOR as a basic motif
di: de Lucas, Jesus Marco, et al.
Pubblicazione: (2024)

Associative memory and dead neurons
di: Fanaskov, Vladimir, et al.
Pubblicazione: (2024)

Computing with Canonical Microcircuits
di: Douglas, PK
Pubblicazione: (2025)

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
di: Ding, Jun-En, et al.
Pubblicazione: (2025)

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
di: Song, Yu, et al.
Pubblicazione: (2024)

Continual Developmental Neurosimulation Using Embodied Computational Agents
di: Alicea, Bradly, et al.
Pubblicazione: (2021)

The role of neuromorphic principles in the future of biomedicine and healthcare
di: Hwang, Grace M., et al.
Pubblicazione: (2026)

Decoding Cortical Microcircuits: A Generative Model for Latent Space Exploration and Controlled Synthesis
di: Liu, Xingyu, et al.
Pubblicazione: (2025)

A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case
di: Qin, Ziyan, et al.
Pubblicazione: (2025)

Exploring Biologically Inspired Mechanisms of Adversarial Robustness
di: Holzhausen, Konstantin, et al.
Pubblicazione: (2024)

The Fast Lane Hypothesis: Von Economo Neurons Implement a Biological Speed-Accuracy Tradeoff
di: Keskin, Esila
Pubblicazione: (2026)

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

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