Responses of pairs of neurons in macaque MT/V5 as a function of motion coherence in stochastic dot stimuli
EHUD ZOHARY and WILLIAM T. NEWSOME
Department of Neurobiology, Stanford University School of Medicine
Fairchild Bldg., Room D-209
Stanford, CA 94305

Support: National Eye Institute, McDonnell-Pew Foundation, Howard Hughes Medical Institute

ANIMAL Macaca mulatta
PREP awake, fixation, discrimination
DATA TYPE extracellular spike times
paired single units on one electrode
CELL TYPE V5/MT cell
N 44 sites

Notes

For examples of no-variance control data for paired recordings, see data set nsa2012.1.

Stimulus

The stimulus was a sparse, dynamic random dot pattern lasting for typically 2 seconds. A full description of the stimulus is provided in the papers cited below in Electrophysiological Methods.

The number of trials varies across data files. Trials were taken in blocks, and some data files contain several blocks of trials. Trial blocks that are next to each other in a data file may have been separated in time during a recording session by more than a typical inter-trial epoch. The original data files would have to be consulted to determine the exact time at which any trial or block of trials began relative to other trials.

Electrophysiological Methods

Zohary E, Shadlen MN, Newsome WT (1994) Correlated neuronal discharge rate and its implications for psychophysical performance. Nature 370:140-143.

Britten KH, Shadlen MN, Newsome WT, Movshon JA (1992) The analysis of visual motion: a comparison of neuronal and psychophysical performance. J Neurosci 12:4745-4765.

Published analyses

  1. Zohary E, Shadlen MN, Newsome WT (1994) Correlated neuronal discharge rate and its implications for psychophysical performance. Nature 370:140-143.

  2. Bair W, Zohary E, Newsome WT (2001) Correlated Firing in Macaque Visual Area MT: Time Scales and Relationship to Behavior The Journal of Neuroscience - Accepted for publication.

  3. Shadlen MN, Newsome WT (1998) The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. The Journal of Neuroscience 18:3870-3896.

  4. Shadlen MN, Britten KH, Newsome WT, Movshon JA (1996) A computational analysis of the relationship between neuronal and behavioral responses to visual motion. The Journal of Neuroscience 16:1486-1510.

  5. Bair W, Zohary E, Koch C (1996) Correlated neuronal response: time scales and mechanisms. In: Touretzky DS, Mozer MC, Hasselmo ME (eds.) Advances in Neural Information Processing Systems 8:86-74. Cambridge, MA: MIT Press.