Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Brenner, Rorry, Itti, Laurent |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
FPGA Deployment of LFADS for Real-time Neuroscience Experiments
par: Liu, Xiaohan, et autres
Publié: (2024)
par: Liu, Xiaohan, et autres
Publié: (2024)
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
par: Shankar, Sohan, et autres
Publié: (2025)
par: Shankar, Sohan, et autres
Publié: (2025)
Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control
par: Kannan, Ashwin Viswanathan, et autres
Publié: (2025)
par: Kannan, Ashwin Viswanathan, et autres
Publié: (2025)
Expressivity of Neural Networks with Random Weights and Learned Biases
par: Williams, Ezekiel, et autres
Publié: (2024)
par: Williams, Ezekiel, et autres
Publié: (2024)
Growing a Neural Network in Breadth, Depth, and Time
par: Butkus, Eivinas, et autres
Publié: (2026)
par: Butkus, Eivinas, et autres
Publié: (2026)
Meta-Learning Strategies through Value Maximization in Neural Networks
par: Carrasco-Davis, Rodrigo, et autres
Publié: (2023)
par: Carrasco-Davis, Rodrigo, et autres
Publié: (2023)
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity
par: Wu, Xundong, et autres
Publié: (2023)
par: Wu, Xundong, et autres
Publié: (2023)
R-FORCE: Robust Learning for Random Recurrent Neural Networks
par: Zheng, Yang, et autres
Publié: (2020)
par: Zheng, Yang, et autres
Publié: (2020)
Fault-Tolerant Neural Networks from Biological Error Correction Codes
par: Zlokapa, Alexander, et autres
Publié: (2022)
par: Zlokapa, Alexander, et autres
Publié: (2022)
The Generalist Brain Module: Module Repetition in Neural Networks in Light of the Minicolumn Hypothesis
par: Kvalsund, Mia-Katrin, et autres
Publié: (2025)
par: Kvalsund, Mia-Katrin, et autres
Publié: (2025)
Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks
par: Williams, Ezekiel, et autres
Publié: (2026)
par: Williams, Ezekiel, et autres
Publié: (2026)
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
par: Guo, Zhengrui, et autres
Publié: (2024)
par: Guo, Zhengrui, et autres
Publié: (2024)
SpikeFit: Towards Optimal Deployment of Spiking Networks on Neuromorphic Hardware
par: Kartashov, Ivan, et autres
Publié: (2025)
par: Kartashov, Ivan, et autres
Publié: (2025)
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
par: Yang, Nianzu, et autres
Publié: (2024)
par: Yang, Nianzu, et autres
Publié: (2024)
Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence
par: Bhandarkar, Shaunak, et autres
Publié: (2025)
par: Bhandarkar, Shaunak, et autres
Publié: (2025)
Backpropagation through space, time, and the brain
par: Ellenberger, Benjamin, et autres
Publié: (2024)
par: Ellenberger, Benjamin, et autres
Publié: (2024)
Range, not Independence, Drives Modularity in Biologically Inspired Representations
par: Dorrell, Will, et autres
Publié: (2024)
par: Dorrell, Will, et autres
Publié: (2024)
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis
par: Arasu, Hritik, et autres
Publié: (2025)
par: Arasu, Hritik, et autres
Publié: (2025)
Spike-Timing-Dependent Plasticity for Bernoulli Message Passing
par: Adamiat, Sepideh, et autres
Publié: (2025)
par: Adamiat, Sepideh, et autres
Publié: (2025)
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks
par: Li, Junyan, et autres
Publié: (2025)
par: Li, Junyan, et autres
Publié: (2025)
Why all roads don't lead to Rome: Representation geometry varies across the human visual cortical hierarchy
par: Ghosh, Arna, et autres
Publié: (2025)
par: Ghosh, Arna, et autres
Publié: (2025)
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
par: Chou, Chi-Ning, et autres
Publié: (2025)
par: Chou, Chi-Ning, et autres
Publié: (2025)
TopoNets: High Performing Vision and Language Models with Brain-Like Topography
par: Deb, Mayukh, et autres
Publié: (2025)
par: Deb, Mayukh, et autres
Publié: (2025)
Emergence of the Primacy Effect in Structured State-Space Models
par: Morita, Takashi
Publié: (2025)
par: Morita, Takashi
Publié: (2025)
Sufficient conditions for offline reactivation in recurrent neural networks
par: Krishna, Nanda H., et autres
Publié: (2025)
par: Krishna, Nanda H., et autres
Publié: (2025)
Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning
par: Ororbia, Alexander, et autres
Publié: (2025)
par: Ororbia, Alexander, et autres
Publié: (2025)
Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics
par: Srinivasan, Keshav, et autres
Publié: (2025)
par: Srinivasan, Keshav, et autres
Publié: (2025)
Harmonic fractal transformation for modeling complex neuronal effects: from bursting and noise shaping to waveform sensitivity and noise-induced subthreshold spiking
par: Sorokina, Mariia
Publié: (2025)
par: Sorokina, Mariia
Publié: (2025)
Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamics
par: Mei, Jie, et autres
Publié: (2025)
par: Mei, Jie, et autres
Publié: (2025)
Bayesian Theory of Consciousness as Exchangeable Emotion-Cognition Inference
par: Li, Xin
Publié: (2024)
par: Li, Xin
Publié: (2024)
Phasor Agents: Oscillatory Graphs with Three-Factor Plasticity and Sleep-Staged Learning
par: Trappe, Rodja
Publié: (2026)
par: Trappe, Rodja
Publié: (2026)
Graph-Based Representation Learning of Neuronal Dynamics and Behavior
par: Khajehnejad, Moein, et autres
Publié: (2024)
par: Khajehnejad, Moein, et autres
Publié: (2024)
Joint sparse coding and temporal dynamics support context reconfiguration
par: Shi, Qianqian, et autres
Publié: (2026)
par: Shi, Qianqian, et autres
Publié: (2026)
Storing overlapping associative memories on latent manifolds in low-rank spiking networks
par: Podlaski, William F., et autres
Publié: (2024)
par: Podlaski, William F., et autres
Publié: (2024)
On the relationship between predictive coding and backpropagation
par: Rosenbaum, Robert
Publié: (2021)
par: Rosenbaum, Robert
Publié: (2021)
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
par: Antoniades, Antonis, et autres
Publié: (2023)
par: Antoniades, Antonis, et autres
Publié: (2023)
On Design Choices in Similarity-Preserving Sparse Randomized Embeddings
par: Kleyko, Denis, et autres
Publié: (2024)
par: Kleyko, Denis, et autres
Publié: (2024)
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
par: Chavlis, Spyridon, et autres
Publié: (2024)
par: Chavlis, Spyridon, et autres
Publié: (2024)
Synaptic Weight Distributions Depend on the Geometry of Plasticity
par: Pogodin, Roman, et autres
Publié: (2023)
par: Pogodin, Roman, et autres
Publié: (2023)
The dynamic interplay between in-context and in-weight learning in humans and neural networks
par: Russin, Jacob, et autres
Publié: (2024)
par: Russin, Jacob, et autres
Publié: (2024)
Documents similaires
-
FPGA Deployment of LFADS for Real-time Neuroscience Experiments
par: Liu, Xiaohan, et autres
Publié: (2024) -
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
par: Shankar, Sohan, et autres
Publié: (2025) -
Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control
par: Kannan, Ashwin Viswanathan, et autres
Publié: (2025) -
Expressivity of Neural Networks with Random Weights and Learned Biases
par: Williams, Ezekiel, et autres
Publié: (2024) -
Growing a Neural Network in Breadth, Depth, and Time
par: Butkus, Eivinas, et autres
Publié: (2026)