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Paul G. Allen School
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Intro
Intro
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Intro
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Deep connections between computer science and neuroscience
Deep connections between computer science and neuroscience
3:01
Many neuroscientific hypotheses are articulated in terms of types and features of neurons
Many neuroscientific hypotheses are articulated in terms of types and features of neurons
5:49
Connecting networks to spikes through Hawkes processes
Connecting networks to spikes through Hawkes processes
12:41
Weighted Hawkes Process dynamics
Weighted Hawkes Process dynamics
13:20
Reasoning about the posterior distribution of networks and latent variables given spikes
Reasoning about the posterior distribution of networks and latent variables given spikes
14:07
Inferring spatial map from spike trains alone Latent variables: locations. Adjacency: distance-dependent. Weight: non-negative.
Inferring spatial map from spike trains alone Latent variables: locations. Adjacency: distance-dependent. Weight: non-negative.
17:02