Cover Image

Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Reser, Jared Edward
Format:	Preprint
Published:	2022
Subjects:	Neurons and Cognition Artificial Intelligence Machine Learning Neural and Evolutionary Computing Symbolic Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bio-inspired AI: Integrating Biological Complexity into Artificial Intelligence
by: Dehghani, Nima, et al.
Published: (2024)

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

Modularity is the Bedrock of Natural and Artificial Intelligence
by: Salatiello, Alessandro
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)

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

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

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

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

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)

Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations
by: Stoewer, Paul, 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)

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

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)

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)

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)

Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence
by: Bhandarkar, Shaunak, et al.
Published: (2025)

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

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

Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks
by: Brenner, Rorry, et al.
Published: (2025)

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