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9 papers · 1 filter
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…
Shaping dynamics with multiple populations in low-rank recurrent networks
Manuel Beiran, Alexis Dubreuil, Adrian Valente +2
An emerging paradigm proposes that neural computations can be understood at the level of dynamical systems that govern low-dimensional trajectories of collective neural activity. H…
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…
A Model of Risk and Mental State Shifts during Social Interaction
Andreas Hula, Iris Vilares, Peter Dayan +1
Cooperation and competition between human players in repeated microeconomic games offer a powerful window onto social phenomena such as the establishment, breakdown and repair of t…
Robust information propagation through noisy neural circuits
Joel Zylberberg, Alexandre Pouget, Peter E. Latham +1
Sensory neurons give highly variable responses to stimulation, which can limit the amount of stimulus information available to downstream circuits. Much work has investigated the f…
Nonlinear Hebbian learning as a unifying principle in receptive field formation
Carlos S. N. Brito, Wulfram Gerstner
The development of sensory receptive fields has been modeled in the past by a variety of models including normative models such as sparse coding or independent component analysis a…