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06/11/2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
Feature visualization has gained substantial popularity, particularly af...
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06/06/2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
One of the most impactful findings in computational neuroscience over th...
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06/05/2023
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception
Deep neural networks (DNNs) are known to have a fundamental sensitivity ...
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11/08/2022
Harmonizing the object recognition strategies of deep neural networks with humans
The many successes of deep neural networks (DNNs) over the past decade h...
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09/30/2021
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks
Nearly all models for object tracking with artificial neural networks de...
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08/08/2021
Understanding the computational demands underlying visual reasoning
Visual understanding requires comprehending complex visual relations bet...
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05/27/2021
Tracking Without Re-recognition in Humans and Machines
Imagine trying to track one particular fruitfly in a swarm of hundreds. ...
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10/29/2020
Recurrent neural circuits for contour detection
We introduce a deep recurrent neural network architecture that approxima...
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05/22/2020
Stable and expressive recurrent vision models
Primate vision depends on recurrent processing for reliable perception (...
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06/04/2019
Disentangling neural mechanisms for perceptual grouping
Forming perceptual groups and individuating objects in visual scenes is ...
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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...
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05/22/2018
Global-and-local attention networks for visual recognition
State-of-the-art deep convolutional networks (DCNs) such as squeeze-and-...
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05/21/2018
Learning long-range spatial dependencies with horizontal gated-recurrent units
Progress in deep learning has spawned great successes in many engineerin...
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01/10/2017
