24 citations · 54 across the 11 of their papers we have counts for
5 papers · 1 filter
The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions
Gal Haspel, Ben Baker, Isabel Beets +34
Just like electrical engineers understand how microprocessors execute programs in terms of how transistor currents are affected by their inputs, neuroscientists want to understand…
Comparing dendritic trees with actual trees
Roozbeh Farhoodi, Phil Wilkes, Anirudh M. Natarajan +4
Since they became observable, neuron morphologies have been informally compared with biological trees but they are studied by distinct communities, neuroscientists, and ecologists.…
The neuroconnectionist research programme
Adrien Doerig, Rowan Sommers, Katja Seeliger +8
Artificial Neural Networks (ANNs) inspired by biology are beginning to be widely used to model behavioral and neural data, an approach we call neuroconnectionism. ANNs have been la…
Object Based Attention Through Internal Gating
Jordan Lei, Ari S. Benjamin, Konrad P. Kording
Object-based attention is a key component of the visual system, relevant for perception, learning, and memory. Neurons tuned to features of attended objects tend to be more active…
Learning to infer in recurrent biological networks
Ari S. Benjamin, Konrad P. Kording
A popular theory of perceptual processing holds that the brain learns both a generative model of the world and a paired recognition model using variational Bayesian inference. Most…