Owing to its many computationally desirable properties, the model of continuous attractor
neural networks (CANNs) has been successfully applied to describe the encoding of simple …

Neural representations of head direction (HD) have been discovered in many species.
Theoretical work has proposed that the dynamics associated with these representations are …

Most voluntary actions rely on neural circuits that map sensory cues onto appropriate motor
responses. One might expect that for everyday movements, like reaching, this mapping …

A key question in studying consciousness is how neural operations in the brain can identify
streams of sensory input as belonging to distinct modalities, which contributes to the …

Attractor networks require neuronal connections to be highly structured in order to maintain
attractor states that represent information, while excitation and inhibition balanced networks …

Continuous attractor is a promising model for describing the encoding of continuous stimuli
in neural systems. In a continuous attractor, the stationary states of the neural system form a …

A neuroscientifically informed theory arguing that the core of qualitative conscious
experience arises from the integration of sensory and cognitive modalities. Although science …

Understanding how the dynamics of a neural network is shaped by the network structure
and, consequently, how the network structure facilitates the functions implemented by the …

The orbitofrontal cortex (OFC) has been implicated in decision-making under uncertainty,
but it is unknown how information about the probability or uncertainty of future reward is …

Lévy flights describe a special class of random walks whose step sizes satisfy a power-law
tailed distribution. As being an efficientsearching strategy in unknown environments, Lévy …