Publication

Bayesian reconstruction of memories stored in neural networks from their connectivity

Related publications (37)

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.

Bayesian reconstruction of memories stored in neural networks from their connectivity

Graph Chatbot

Chat with Graph Search

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Gibbs sampling the posterior of neural networks

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Detecting Road Obstacles by Erasing Them

Task-driven neural network models predict neural dynamics of proprioception

Supervised learning and inference of spiking neural networks with temporal coding

Learnable latent embeddings for joint behavioural and neural analysis

Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

Kernel Memory Networks: A Unifying Framework for Memory Modeling