Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons.

By James R. Cavanaugh, Wyeth Bair, J. Movshon. 2002

864 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Matteo Carandini
2. David J. Heeger
3. John H. Reynolds
4. Dario L. Ringach
5. Fred Henrik Hamker
6. Frederik Beuth
7. D. Ferster
8. T. Freeman

In Cognitive Neuroscience

1. James J. DiCarlo
2. Matteo Carandini
3. David J. Heeger
4. Tomaso A. Poggio
5. Minjoon Kouh
6. Dario L. Ringach
7. Fred Henrik Hamker
8. John H. Reynolds

Citations in the corpus

• Temporal properties of surround suppression in cat primary visual cortex (2007, background): “Surround suppression constitutes an arithmetical division ~Carandini et al., 1997; Sengpiel et al., 1998; Chen et al., 2001; Sceniak et al., 2001; Cavanaugh et al., 2002a; Carandini, 2004!.”
• The Suppressive Field of Neurons in Lateral Geniculate Nucleus (2005, background): “It is evident that some cortical effects, such as the orientation selectivity of surround suppression (Cavanaugh et al., 2002), are not easily explained by suppression in LGN. Nonetheless, our results indicate that the suppressive phenomena seen in LGN would be expected to contribute to those seen…”
• Divisive normalization in olfactory population codes (2010, methodology): “Both forms of gain control seem to occur in visual processing and attentional control (Albrecht and Geisler, 1991; Cavanaugh et al., 2002; Williford and Maunsell, 2006; Reynolds and Heeger, 2009).”
• Multiple Object Response Normalization in Monkey Inferotemporal Cortex (2005, methodology): “The average effect could also arise if the output of each IT neuron was normalized by the total spiking activity of a broad population of IT cells, similar to divisive normalization models proposed to explain nonlinear behavior in early visual areas (Heeger, 1992; Heeger et al., 1996; Carandini et a”
• Spatial and temporal scales of neuronal correlation in primary visual cortex (2008, methodology): “The techniques we use to record from the visual cortex of anesthetized, paralyzed macaques have been described in detail previously (Cavanaugh et al., 2002).”
• Dynamics of Suppression in Macaque Primary Visual Cortex (2006, methodology): “We then measured size tuning curves and determined the diameter of the smallest patch of grating that elicited the maximal response (as by Cavanaugh et al., 2002).”
• Attentional modulation of visual processing. (2004, background): “Evidence exists that such surround effects rely on divisive inhibition from the receptive field surround tuned for the neuron’s preferred orientation (Cavanaugh et al. 2002a,b; Muller et al. 2003; Webb et al. 2003).”
• The Normalization Model of Attention (2009, methodology): “As an aside, we note that this model predicts an interaction between contrast and stimulus size (Cavanaugh et al., 2002a), thereby explaining the observation that neurons prefer smaller stimuli at higher contrasts (Kapadia et al., 1999; Sceniak et al., 1999).”