Cover Image

Competitive plasticity to reduce the energetic costs of learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	van Rossum, Mark CW
Format:	Preprint
Published:	2023
Subjects:	Neural and Evolutionary Computing Artificial Intelligence Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Computational models of learning and synaptic plasticity
by: Tyulmankov, Danil
Published: (2024)

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

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

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

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks
by: Ravichandran, Naresh, et al.
Published: (2024)

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

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

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

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

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

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

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

Associative memory and dead neurons
by: Fanaskov, Vladimir, et al.
Published: (2024)

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)

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

Computing with Canonical Microcircuits
by: Douglas, PK
Published: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Exploring Biologically Inspired Mechanisms of Adversarial Robustness
by: Holzhausen, Konstantin, 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)

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

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

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

A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
by: Knight, James C., et al.
Published: (2025)

Lu.i -- A low-cost electronic neuron for education and outreach
by: Stradmann, Yannik, et al.
Published: (2024)

Spiking representation learning for associative memories
by: Ravichandran, Naresh, et al.
Published: (2024)

Evolution imposes an inductive bias that alters and accelerates learning dynamics
by: Midler, Benjamin, et al.
Published: (2025)

One-shot learning of paired association navigation with biologically plausible schemas
by: Kumar, M Ganesh, et al.
Published: (2021)