research
∙
11/17/2022
Explainability Via Causal Self-Talk
Explaining the behavior of AI systems is an important problem that, in p...
share
research
∙
10/11/2022
Transformers generalize differently from information stored in context vs in weights
Transformer models can use two fundamentally different kinds of informat...
research
∙
05/27/2021
Tracking Without Re-recognition in Humans and Machines
Imagine trying to track one particular fruitfly in a swarm of hundreds. ...
research
∙
10/29/2020
Recurrent neural circuits for contour detection
We introduce a deep recurrent neural network architecture that approxima...
research
∙
06/04/2019
Disentangling neural mechanisms for perceptual grouping
Forming perceptual groups and individuating objects in visual scenes is ...
research
∙
11/28/2018
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks
Recent successes in deep learning have started to impact neuroscience. O...
research
∙
05/21/2018
Learning long-range spatial dependencies with horizontal gated-recurrent units
Progress in deep learning has spawned great successes in many engineerin...
research
∙
02/09/2018
