Dynamics and Computations in Neural Networks
Popular repositories
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populations_paper_code
populations_paper_code PublicForked from adrian-valente/populations_paper_code
Low-rank RNN training code and experiments for "The role of population structure in computations through neural dynamics"
Jupyter Notebook 1
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lowrank_inference
lowrank_inference PublicForked from adrian-valente/lowrank_inference
Fitting low-rank RNNs to neural trajectories (LINT method).
Jupyter Notebook
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multi-area-ctx
multi-area-ctx PublicForked from jmourabarbosa/multi-area-ctx
python notebooks to replicate the main figures
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Relating_Local_Conn_Global_Dyns
Relating_Local_Conn_Global_Dyns PublicForked from shaonannan/Relating_Local_Conn_Global_Dyns
Relating local connectivity and global dynamics in EI networks
Python
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shaping-dyns-low-rank
shaping-dyns-low-rank PublicCode for Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks (2021)
Python
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parametric_control_timing
parametric_control_timing PublicCode for Parametric control of flexible timing through low-dimensional manifolds (2023)
Python
Repositories
- parametric_control_timing Public
Code for Parametric control of flexible timing through low-dimensional manifolds (2023)
- shaping-dyns-low-rank Public
Code for Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks (2021)
- multi-area-ctx Public Forked from jmourabarbosa/multi-area-ctx
python notebooks to replicate the main figures
- Relating_Local_Conn_Global_Dyns Public Forked from shaonannan/Relating_Local_Conn_Global_Dyns
Relating local connectivity and global dynamics in EI networks
- populations_paper_code Public Forked from adrian-valente/populations_paper_code
Low-rank RNN training code and experiments for "The role of population structure in computations through neural dynamics"
- lowrank_inference Public Forked from adrian-valente/lowrank_inference
Fitting low-rank RNNs to neural trajectories (LINT method).