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Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
Hebbian models of development and learning require both activity-dependent synaptic plasticity and a mechanism that induces competition between different synapses. One form of experimentally observed… Expand
Neural mechanisms of orientation selectivity in the visual cortex.
The origin of orientation selectivity in the responses of simple cells in cat visual cortex serves as a model problem for understanding cortical circuitry and computation. The feed-forward model… Expand
Inhibitory Stabilization of the Cortical Network Underlies Visual Surround Suppression
In what regime does the cortical circuit operate? Our intracellular studies of surround suppression in cat primary visual cortex (V1) provide strong evidence on this question. Although suppression… Expand
Ocular dominance column development: analysis and simulation.
The visual cortex of many adult mammals has patches of cells that receive inputs driven by the right eye alternating with patches that receive inputs driven by the left eye. These ocular dominance… Expand
Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cell
To understand the interspike interval (ISI) variability displayed by visual cortical neurons (Softky & Koch, 1993), it is critical to examine the dynamics of their neuronal integration, as well as… Expand
The Role of Constraints in Hebbian Learning
Models of unsupervised, correlation-based (Hebbian) synaptic plasticity are typically unstable: either all synapses grow until each reaches the maximum allowed strength, or all synapses decay to zero… Expand
Neural noise can explain expansive, power-law nonlinearities in neural response functions.
Many phenomenological models of the responses of simple cells in primary visual cortex have concluded that a cell's firing rate should be given by its input raised to a power greater than one. This… Expand
The Stabilized Supralinear Network: A Unifying Circuit Motif Underlying Multi-Input Integration in Sensory Cortex
Neurons in sensory cortex integrate multiple influences to parse objects and support perception. Across multiple cortical areas, integration is characterized by two neuronal response properties: (1)… Expand
Adaptive filtering enhances information transmission in visual cortex
- T. Sharpee, H. Sugihara, A. Kurgansky, S. Rebrik, M. Stryker, K. Miller
- Computer Science, Biology
- 23 February 2006
Sensory neuroscience seeks to understand how the brain encodes natural environments. However, neural coding has largely been studied using simplified stimuli. In order to assess whether the brain's… Expand
Synaptic Economics: Competition and Cooperation in Synaptic Plasticity
- K. Miller
- Biology, Medicine
- 1 September 1996
beautifully adds to the evidence that simple intuitions about correlation-based plasticity may lead us astray. In Departments of Physiology and Otolaryngology Neuroscience Graduate Program the LGN of… Expand