Browse the search results

The encoding of visual images by certain retinal ganglion cells is fundamentally altered in the context of eye-movement-like image transitions; the transitions trigger inhibitory interactions, which make these cells particularly sensitive to recurring images.

Model-based analyses of human behaviour and neural activity show that representations of concurrent task-sets emerge by merging together representations of individual stimulus-response associations that occur in temporal proximity.

A computational model of collective physical interaction reveals that individuals infer the collective's movement goal in order to enhance the group's overall performance and coordinate with several partners in seconds.

Neural oscillations are a necessary consequence of efficient coding of sensory signals by a spiking neural network, limited by synaptic delays and noise.

The contribution of biophysical ion channels to neuron function can be predicted by taking advantage of an ongoing dialogue between model and experiment.

A new measure for cross-frequency coupling assesses phase-amplitude coupling and amplitude-amplitude coupling, and accounts for confounding factors such as low-frequency amplitude fluctuations, using a flexible statistical modeling approach.

Initial confidence and choice in a decision, and their potential revision, arise from a common mechanism that challenges models that claim confidence and decision processes are dissociated.

The Janelia Research Campus opened its doors 12 years ago: we describe the philosophy underpinning Janelia, the lessons learned, and plans for the future.

Computational modeling of cognitive and neuroscience data is an insightful and powerful tool, but has many potential pitfalls that can be avoided by following simple guidelines.