Publications associées à Supervised learning and inference of spiking neural networks with temporal coding

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Network Simplification: the Gaussian N-Relay Diamond Network

Christina Fragouli, Ayfer Özgür Aydin

We consider the Gaussian

N

-relay diamond network, where a source wants to communicate to a destination through a layer of

N

-relay nodes. We investigate the following question: What fraction of the capacity can we maintain by using only

k

out of the $ ...

2010

Supervised learning and inference of spiking neural networks with temporal coding

Graph Chatbot

Chattez avec Graph Search

Assessing directed information as a method for inferring functional connectivity in neural ensembles

Effective Stimuli for Constructing Reliable Neuron Models

Exponential Pattern Retrieval Capacity with Non-Binary Associative Memory

Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model

PyBrain

Network Simplification: the Gaussian N-Relay Diamond Network

Code-specific policy gradient rules for spiking neurons

Perceptual learning: why mice do not play backgammon

Multiple task learning in recurrent neural networks using layered reservoirs

Evolutionary Selection of Features for Neural Sleep/Wake Discrimination

Assessing directed information as a method for inferring functional connectivity in neural ensembles

Exponential Pattern Retrieval Capacity with Non-Binary Associative Memory

Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model

Network Simplification: the Gaussian N-Relay Diamond Network

Code-specific policy gradient rules for spiking neurons

Evolutionary Selection of Features for Neural Sleep/Wake Discrimination

Multiple task learning in recurrent neural networks using layered reservoirs

Perceptual learning: why mice do not play backgammon

Effective Stimuli for Constructing Reliable Neuron Models

PyBrain