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Showing papers by "Sacha B. Nelson published in 1999"


Journal ArticleDOI
TL;DR: It is proposed that local recurrent connections are responsible for the spatial-phase invariance of complex-cell responses, suggesting that simple and complex cells are the low- and high-gain limits of the same basic cortical circuit.
Abstract: The majority of synapses in primary visual cortex mediate excitation between nearby neurons, yet the role of local recurrent connections in visual processing remains unclear We propose that these connections are responsible for the spatial-phase invariance of complex-cell responses In a network model with selective cortical amplification, neurons exhibit simple-cell responses when recurrent connections are weak and complex-cell responses when they are strong, suggesting that simple and complex cells are the low- and high-gain limits of the same basic cortical circuit Given the ubiquity of invariant responses in cognitive processing, the recurrent mechanism we propose for complex cells may be widely applicable

211 citations


Journal ArticleDOI
TL;DR: It is found that inhibitory synapses show less overall depression than excitatory synapses and that the kinetics of recovery from depression also differ between the two classes of synapse, indicating that the balance between excitation and inhibition can change dynamically as a function of activity.
Abstract: The function of cortical circuits depends critically on the balance between excitation and inhibition. This balance reflects not only the relative numbers of excitatory and inhibitory synapses but also their relative strengths. Recent studies of excitatory synapses in visual and somatosensory cortices have emphasized that synaptic strength is not a fixed quantity but is a dynamic variable that reflects recent presynaptic activity. Here, we compare the dynamics of synaptic transmission at excitatory and inhibitory synapses onto visual cortical pyramidal neurons. We find that inhibitory synapses show less overall depression than excitatory synapses and that the kinetics of recovery from depression also differ between the two classes of synapse. When excitatory and inhibitory synapses are stimulated concurrently, this differential depression produces a time- and frequency-dependent shift in the reversal potential of the composite postsynaptic current. These results indicate that the balance between excitation and inhibition can change dynamically as a function of activity.

180 citations


Journal ArticleDOI
TL;DR: The studies discussed in this article suggest that, despite its original conception as a uniquely segregated cortex, rat SI has a wide array of dynamic interactions, and that the study of this region will provide insight into the general mechanisms of cortical dynamics engaged by sensory systems.

167 citations


Journal ArticleDOI
TL;DR: Synaptic depression modeled after that seen in cortical slices removes correlations from realistic spike sequences and suggests that this redundancy reduction at individual synapses enables a neuron to better process information from multiple inputs.

23 citations


Journal ArticleDOI
TL;DR: This finding suggests that neurons can control their firing rates by tuning their distribution of ionic conductances in response to changes in activity, as well as suggesting the role of voltage and time-dependent ionic currents in this process.

15 citations