activity
20132022
most citedHow (not) to assess the importance of correlations for the matching of spontaneous and evoked activity

7 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.NC2022

Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder

Ferenc Csikor, Balázs Meszéna, Bence Szabó +1

Interpreting computations in the visual cortex as learning and inference in a generative model of the environment has received wide support both in neuroscience and cognitive scien…

q-bio.NC2018

Semantic Compression of Episodic Memories

David G. Nagy, Balázs Török, Gergő Orbán

Storing knowledge of an agent's environment in the form of a probabilistic generative model has been established as a crucial ingredient in a multitude of cognitive tasks. Percepti…

cs.LG2017

Episodic memory for continual model learning

David G. Nagy, Gergő Orbán

Both the human brain and artificial learning agents operating in real-world or comparably complex environments are faced with the challenge of online model selection. In principle…

q-bio.NC2016★ 4 cited

Grand Challenges for Global Brain Sciences

Joshua T. Vogelstein, Katrin Amunts, Andreas Andreou +59

The next grand challenges for society and science are in the brain sciences. A collection of 60+ scientists from around the world, together with 10+ observers from national, privat…

q-bio.NC2013★ 7 cited

How (not) to assess the importance of correlations for the matching of spontaneous and evoked activity

József Fiser, Máté Lengyel, Cristina Savin +2

A comment on `Population rate dynamics and multineuron firing patterns in sensory cortex' by Okun et al. Journal of Neuroscience 32(48):17108-17119, 2012 and our response to the co…