Hippocampal and parahippocampal gyrus spatial view neurons in primates respond to the
spatial location being looked at. The representation is allocentric, in that the responses are …

Attention has been found to have a wide variety of effects on the responses of neurons in
visual cortex. We describe a model of attention that exhibits each of these different forms of …

We consider the problem of designing models to leverage a recently introduced
approximate model averaging technique called dropout. We define a simple new model …

While logistic sigmoid neurons are more biologically plausible than hyperbolic tangent
neurons, the latter work better for training multi-layer neural networks. This paper shows that …

Theoretical neuroscience provides a quantitative basis for describing what nervous systems
do, determining how they function, and uncovering the general principles by which they …

How can local-search methods such as stochastic gradient descent (SGD) avoid bad local
minima in training multi-layer neural networks? Why can they fit random labels even given …

Digital circuits such as the flip-flop use feedback to achieve multi-stability and nonlinearity to
restore signals to logical levels, for example 0 and 1. Analogue feedback circuits are …

In crowded visual scenes, attention is needed to select relevant stimuli. To study the
underlying mechanisms, we recorded neurons in cortical area V4 while macaque monkeys …

▪ Abstract We explore the extent to which neocortical circuits generalize, ie, to what extent
can neocortical neurons and the circuits they form be considered as canonical? We find that …

The authors model the neural mechanisms underlying spatial cognition, integrating
neuronal systems and behavioral data, and address the relationships between long-term …