Litcius/Paper detail

Multiplexing working memory and time in the trajectories of neural networks

Shanglin Zhou, Michael J. Seay, Jiannis Taxidis, Peyman Golshani, Dean V. Buonomano

2023Nature Human Behaviour28 citationsDOIOpen Access PDF

Topics & Concepts

Working memoryRecurrent neural networkTask (project management)Artificial neural networkExcitatory postsynaptic potentialNeuroscienceComputer scienceMultiplexingCognitionArtificial intelligencePsychologyInhibitory postsynaptic potentialTelecommunicationsManagementEconomicsNeural dynamics and brain functionEEG and Brain-Computer InterfacesAdvanced Memory and Neural Computing
Multiplexing working memory and time in the trajectories of neural networks | Litcius