output
20092022
most citedDeep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Brain's Ventral Visual Pathway

1.1k 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.

collaborating institutions
Showing 2015Show all

4 papers · 1 filter

q-bio.NC2015★ 150 cited

Full-density multi-scale account of structure and dynamics of macaque visual cortex

Maximilian Schmidt, Rembrandt Bakker, Kelly Shen +4

We present a multi-scale spiking network model of all vision-related areas of macaque cortex that represents each area by a full-scale microcircuit with area-specific architecture.…

physics.bio-ph2015★ 13 cited

Statistical physics of neural systems with non-additive dendritic coupling

David Breuer, Marc Timme, Raoul-Martin Memmesheimer

How neurons process their inputs crucially determines the dynamics of biological and artificial neural networks. In such neural and neural-like systems, synaptic input is typically…

q-bio.NC2015★ 99 cited

Learning universal computations with spikes

Dominik Thalmeier, Marvin Uhlmann, Hilbert J. Kappen +1

Providing the neurobiological basis of information processing in higher animals, spiking neural networks must be able to learn a variety of complicated computations, including the…

eess.SY2015★ 90 cited

Adaptive importance sampling for control and inference

Hilbert Johan Kappen, Hans Christian Ruiz

Path integral (PI) control problems are a restricted class of non-linear control problems that can be solved formally as a Feyman-Kac path integral and can be estimated using Monte…