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CONNECTOME-CONSTRAINED LATENT VARIABLE MODELS OF WHOLE-BRAIN NEURAL ACTIVITY
Lu Mi
, Richard Xu
, Sridhama Prakhya
, Albert Lin
,
Nir Shavit
, Aravinthan D.T. Samuel
, Srinivas C. Turaga
HHMI
Massachusetts Institute of Technology
Harvard University
Research output
:
Contribution to conference
›
Paper
›
peer-review
3
Scopus citations
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Dive into the research topics of 'CONNECTOME-CONSTRAINED LATENT VARIABLE MODELS OF WHOLE-BRAIN NEURAL ACTIVITY'. Together they form a unique fingerprint.
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Keyphrases
Neural Activity
100%
Whole Brain
100%
Connectome
100%
Latent Variable Models
100%
Nervous System
50%
Caenorhabditis Elegans
50%
Calcium Imaging
50%
Calcium Signaling
25%
Worm
25%
Mechanistic Model
25%
Withholding
25%
Variational
25%
Trial-to-trial Variability
25%
Prior Distribution
25%
Variational Autoencoder
25%
Activity Measurement
25%
Neural Dynamics
25%
Anatomical Connectivity
25%
Generative Models
25%
Fit Parameters
25%
Synaptic Connectivity
25%
Neuron Dynamics
25%
Image Observation
25%
Inference Network
25%
Approximate Posterior
25%
Mechanistic Simulation
25%
Biophysical Simulation
25%
Current-based Synapse
25%
Conductance-based Synapse
25%
Voltage Dynamics
25%
Neuroscience
Synapse
100%
Nervous System
100%
Calcium Imaging
100%
Latent Variable Model
100%
Caenorhabditis Elegans
100%
Face
50%
Connectomics
50%