145 citations · 217 across the 5 of their papers we have counts for
5 papers
Forgetting leads to chaos in attractor networks
Ulises Pereira-Obilinovic, Johnatan Aljadeff, Nicolas Brunel
Attractor networks are an influential theory for memory storage in brain systems. This theory has recently been challenged by the observation of strong temporal variability in neur…
Cortical credit assignment by Hebbian, neuromodulatory and inhibitory plasticity
Johnatan Aljadeff, James D'amour, Rachel E. Field +2
The cortex learns to make associations between stimuli and spiking activity which supports behaviour. It does this by adjusting synaptic weights. The complexity of these transforma…
On the low dimensional dynamics of structured random networks
Johnatan Aljadeff, David Renfrew, Marina Vegué +1
Using a generalized random recurrent neural network model, and by extending our recently developed mean-field approach [J. Aljadeff, M. Stern, T. Sharpee, Phys. Rev. Lett. 114, 088…
Eigenvalues of block structured asymmetric random matrices
Johnatan Aljadeff, David Renfrew, Merav Stern
We study the spectrum of an asymmetric random matrix with block structured variances. The rows and columns of the random square matrix are divided into partitions with arbitrar…
Transition to chaos in random networks with cell-type-specific connectivity
Johnatan Aljadeff, Merav Stern, Tatyana O. Sharpee
In neural circuits, statistical connectivity rules strongly depend on neuronal type. Here we study dynamics of neural networks with cell-type specific connectivity by extending the…