In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects errors …

… Based on simulation results on the dynamics of aperiodic networks (Burak and Fiete, 2006;
Burak and Fiete, 2008), we know that an aperiodic network is prone to rotation, even when …

Grid cells in the rat entorhinal cortex display strikingly regular firing responses to the animal's
position in 2-D space and have been hypothesized to form the neural substrate for dead-…

… if the number of cells within a lattice is reduced (Burak and Fiete, 2006, 2007) (Y. Burak
and IR Fiete, unpublished observations). Although capacity considerations may drive neural …

Sequential neural activity patterns are as ubiquitous as the outputs they drive, which include
motor gestures and sequential cognitive processes. Neural sequences are long, compared …

We examined simultaneously recorded spikes from multiple rat grid cells, to explain mechanisms
underlying their activity. Among grid cells with similar spatial periods, the population …

… To allow freezing quantification to the tone an infrared LED was toggled for the period of the
tone for synchronizing the video to the tones. A period of acclimation lasting 3 min preceded …

Most social species self-organize into dominance hierarchies 1 , 2 , which decreases
aggression and conserves energy 3 , 4 , but it is not clear how individuals know their social rank. …

We propose a model of songbird learning that focuses on avian brain areas HVC and RA,
involved in song production, and area LMAN, important for generating song variability. …

We present a method of estimating the gradient of an objective function with respect to the
synaptic weights of a spiking neural network. The method works by measuring the fluctuations …