output
20172022
most citedPositive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs

1.9k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing q-bio.NCShow all

5 papers · 1 filter

q-bio.NC2022★ 48 cited

Dimension of activity in random neural networks

David G. Clark, L. F. Abbott, Ashok Litwin-Kumar

Neural networks are high-dimensional nonlinear dynamical systems that process information through the coordinated activity of many connected units. Understanding how biological and…

q-bio.NC2020★ 4 cited

Optimal Learning with Excitatory and Inhibitory synapses

Alessandro Ingrosso

Characterizing the relation between weight structure and input/output statistics is fundamental for understanding the computational capabilities of neural circuits. In this work, I…

q-bio.NC2020★ 106 cited

Going in circles is the way forward: the role of recurrence in visual inference

Ruben S. van Bergen, Nikolaus Kriegeskorte

Biological visual systems exhibit abundant recurrent connectivity. State-of-the-art neural network models for visual recognition, by contrast, rely heavily or exclusively on feedfo…

q-bio.NC2018★ 3 cited

Interpreting Encoding and Decoding Models

Nikolaus Kriegeskorte, Pamela K. Douglas

Encoding and decoding models are widely used in systems, cognitive, and computational neuroscience to make sense of brain-activity data. However, the interpretation of their result…

q-bio.NC2018★ 1 cited

Cognitive computational neuroscience

Nikolaus Kriegeskorte, Pamela K. Douglas

To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments.…