Computational strategies used by the brain strongly depend on the amount of information
that can be stored in population activity, which in turn strongly depends on the pattern of …

The ability to discriminate between similar sensory stimuli relies on the amount of
information encoded in sensory neuronal populations. Such information can be substantially …

The amount of information encoded by networks of neurons critically depends on the
correlation structure of their activity. Neurons with similar stimulus preferences tend to have …

Neuronal representations of external events are often distributed across large populations of
cells. We study the effect of correlated noise on the accuracy of these neuronal population …

Understanding the neural code requires understanding how populations of neurons code
information. Theoretical models predict that information may be limited by correlated noise in …

Response variability is often correlated across populations of neurons, and these noise
correlations may play a role in information coding. In previous studies, this possibility has …

The magnitude of correlations between stimulus-driven responses of pairs of neurons can
itself be stimulus dependent. We examine how this dependence affects the information …

Computation in the nervous system often relies on the integration of signals from parallel
circuits with different functional properties. Correlated noise in these inputs can, in principle …

Neurons in the brain represent information in their collective activity. The fidelity of this
neural population code depends on whether and how variability in the response of one …

Brain function involves the activity of neuronal populations. Much recent effort has been
devoted to measuring the activity of neuronal populations in different parts of the brain under …