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The Operating Regime of Local Computations in Primary Visual Cortex
- Source :
- RUC. Repositorio da Universidade da Coruña, instname
- Publication Year :
- 2009
- Publisher :
- Oxford University Press (OUP), 2009.
-
Abstract
- [Abstract] In V1, local circuitry depends on the position in the orientation map: close to pinwheel centers, recurrent inputs show variable orientation preferences; within iso-orientation domains, inputs are relatively uniformly tuned. Physiological properties such as cell's membrane potentials, spike outputs, and temporal characteristics change systematically with map location. We investigate in a firing rate and a Hodgkin–Huxley network model what constraints these tuning characteristics of V1 neurons impose on the cortical operating regime. Systematically varying the strength of both recurrent excitation and inhibition, we test a wide range of model classes and find the likely models to account for the experimental observations. We show that recent intracellular and extracellular recordings from cat V1 provide the strongest evidence for a regime where excitatory and inhibitory recurrent inputs are balanced and dominate the feed-forward input. Our results are robust against changes in model assumptions such as spatial extent and strength of lateral inhibition. Intriguingly, the most likely recurrent regime is in a region of parameter space where small changes have large effects on the network dynamics, and it is close to a regime of “runaway excitation,” where the network shows strong self-sustained activity. This could make the cortical response particularly sensitive to modulation.
- Subjects :
- Cognitive Neuroscience
Models, Neurological
Action Potentials
Parameter space
Bayesian data analysis
Networks dynamics
Pinwheel
Cellular and Molecular Neuroscience
Cognition
Lateral inhibition
Modulation (music)
medicine
Humans
Computer Simulation
Visual Cortex
Network model
Physics
Computational model
Feed forward
Articles
Network dynamics
Visual cortex
medicine.anatomical_structure
Reverse correlation
Visual Perception
Evoked Potentials, Visual
Nerve Net
Biological system
Neuroscience
Orientation tuning
Subjects
Details
- ISSN :
- 14602199 and 10473211
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Cerebral Cortex
- Accession number :
- edsair.doi.dedup.....018ff29533d4c02a62329831831e18b5
- Full Text :
- https://doi.org/10.1093/cercor/bhn240