Orientation tuning of input conductance, excitation, and inhibition in cat primary visual cortex.
By Jeffrey S. Anderson, Matteo Carandini, D. Ferster. 2000
551 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
- Matteo Carandini
- Robert Froemke
- Massimo Scanziani
- Jeffery S. Isaacson
- Nicholas J. Priebe
- D. Ferster
- Ian M. Finn
- Dario L. Ringach
In Cognitive Neuroscience
- Matteo Carandini
- Robert Froemke
- Massimo Scanziani
- Jeffery S. Isaacson
- Nicholas J. Priebe
- D. Ferster
- Dario L. Ringach
- Ian M. Finn
Citations in the corpus
- Parvalbumin-Expressing Interneurons Linearly Transform Cortical Responses to Visual Stimuli (2012, background): “In other species, like cats, where due to the presence of large orientation domains the responses of inhibitory neurons are tuned to orientation (Anderson et al., 2000) (although PV cells are likely to be less turned than other neurons; Cardin et al.”
- The Operating Point of the Cortex: Neurons as Large Deviation Detectors (2007, background): “It is also possible that the modulation of up/down states by visual stimulation is involved in the generation of a non-Gaussian distribution of the generator potential (Anderson et al., 2000a).”
- Balanced amplification: a new mechanism of selective amplification of neural activity patterns (2009, unknown): “…of V1 receive both excitatory and inhibitory input predominantly from other neurons with similar preferred orientations (Martinez et al., 2002; Anderson et al., 2000a; Marino et al., 2005), and orientation-specific excitatory axonal projections can extend over long distances (Gilbert and…”
- Inhibitory Stabilization of the Cortical Network Underlies Visual Surround Suppression (2009, background): “H.O. was partly supported by a JSPS postdoctoral fellowship.”
- Orientation and direction selectivity of synaptic inputs in visual cortical neurons: a diversity of combinations produces spike tuning. (2003, methodology): “…membrane potential was apparent in both patch and sharp re- the cells had dominant hyperpolarizing responses for either the preferred direction (Iso-P: 9/42, 21%, see Fig-cordings (see also Anderson et al., 2000a). ure 1, cell 3) or for the null direction (Iso-N: 6/42, 14%, see Figure 4, cell 11).”
- Amplification of Trial-to-Trial Response Variability by Neurons in Visual Cortex (2004, methodology): “Here this hypothesis is tested through measurements of membrane potential during visual stimulation.”
- Highly Selective Receptive Fields in Mouse Visual Cortex (2008, background): “Conversely, many models of orientation selectivity require orientation-selective inhibition (Ferster and Miller, 2000), and the net inhibitory input to cat cortical cells has in fact been shown to be orientation tuned (Anderson et al., 2000).”
- The emergence of contrast-invariant orientation tuning in simple cells of cat visual cortex. (2007, background): “And yet, most simple cells respond with few or no spikes at the orthogonal orientation, and orientation tuning is largely contrast invariant (Alitto and Usrey, 2004; Anderson et al., 2000c; Ferster and Miller, 2000; Skottun et al., 1987).”
- Mechanisms for Stable, Robust, and Adaptive Development of Orientation Maps in the Primary Visual Cortex (2013, methodology): “Similar methods of achieving contrast-invariant orientation tuning have been described in previous nondevelopmental models (Geisler and Albrecht, 1997; Anderson et al., 2000; Carandini et al., 2002; Finn et al., 2007), but to our knowledge GCAL is the first model to show how contrast-invariant tunin”
- GABAA inhibition controls response gain in visual cortex (2011, unknown): “Subtraction is a simplification because inhibition does provide conductance increases at least at some orientations (BorgGraham et al., 1998; Anderson et al., 2000), which would result in a nonlinear integration of synaptic inputs (a fact that we did include in our simulations based on intracellular”