Publication

Supervised learning and inference of spiking neural networks with temporal coding

Related publications (318)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Supervised learning and inference of spiking neural networks with temporal coding

Graph Chatbot

Chat with Graph Search

Interpretable statistical representations of neural population dynamics and geometry

NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways

Privacy-preserving federated neural network training and inference

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

Can Self-Supervised Neural Networks Pre-Trained on Human Speech distinguish Animal Callers?

Exploring neural networks and their potential for species distribution modeling

Improving Generalization of Pretrained Language Models

Learning ground states of gapped quantum Hamiltonians with Kernel Methods

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback