29 citations · 29 across the 3 of their papers we have counts for
9 papers
Cancer Progression as a Learning Process
Aseel Shomar, Omri Barak, Naama Brenner
Drug resistance and metastasis - the major complications in cancer - both entail adaptation of cancer cells to stress, whether a drug or a lethal new environment. Intriguingly, the…
Quality of internal representation shapes learning performance in feedback neural networks
Lee Susman, Francesca Mastrogiuseppe, Naama Brenner +1
A fundamental feature of complex biological systems is the ability to form feedback interactions with their environment. A prominent model for studying such interactions is reservo…
Mapping low-dimensional dynamics to high-dimensional neural activity: A derivation of the ring model from the neural engineering framework
Omri Barak, Sandro Romani
Empirical estimates of the dimensionality of neural population activity are often much lower than the population size. Similar phenomena are also observed in trained and designed n…
Implementing Inductive bias for different navigation tasks through diverse RNN attractors
Tie Xu, Omri Barak
Navigation is crucial for animal behavior and is assumed to require an internal representation of the external environment, termed a cognitive map. The precise form of this represe…
Dynamics of random recurrent networks with correlated low-rank structure
Friedrich Schuessler, Alexis Dubreuil, Francesca Mastrogiuseppe +2
A given neural network in the brain is involved in many different tasks. This implies that, when considering a specific task, the network's connectivity contains a component which…
Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network
Tomoki Kurikawa, Omri Barak, Kunihiko Kaneko
Memories in neural system are shaped through the interplay of neural and learning dynamics under external inputs. By introducing a simple local learning rule to a neural network, w…