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Matthew H Higgs

Publications and source records attributed to Matthew H Higgs.

3 recordsLinked to original sources

Diversity of gain modulation by noise in neocortical neurons: regulation by the slow afterhyperpolarization conductance.

Neuronal firing is known to depend on the variance of synaptic input as well as the mean input current. Several studies suggest that input variance, or "noise," has a divisive effect, reducing the slope or gain of the firing frequency-current (f-I) relationship. We measured the effects of current noise on f-I relationships in pyramidal neurons and fast-spiking (FS) interneurons in slices of rat sensorimotor cortex. In most pyramidal neurons, noise had a multiplicative effect on the steady-state f-I relationship, increasing gain. In contrast, noise reduced gain in FS interneurons. Gain enhancement in pyramidal neurons increased with stimulus duration and was correlated with the amplitude of the slow afterhyperpolarization (sAHP), a major mechanism of spike-frequency adaptation. The 5-HT2 receptor agonist alpha-methyl-5-HT reduced the sAHP and eliminated gain increases, whereas augmenting the sAHP conductance by spike-triggered dynamic-current clamp enhanced the gain increase. These results indicate that the effects of noise differ fundamentally between classes of neocortical neurons, depending on specific biophysical properties including the sAHP conductance. Thus, noise from background synaptic input may enhance network excitability by increasing gain in pyramidal neurons with large sAHPs and reducing gain in inhibitory FS interneurons.

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Two-dimensional time coding in the auditory brainstem.

Avian nucleus magnocellularis (NM) spikes provide a temporal code representing sound arrival times to downstream neurons that compute sound source location. NM cells act as high-pass filters by responding only to discrete synaptic events while ignoring temporally summed EPSPs. This high degree of input selectivity insures that each output spike from NM unambiguously represents inputs that contain precise temporal information. However, we lack a quantitative description of the computation performed by NM cells. A powerful model for predicting output firing rate given an arbitrary current input is given by a linear/nonlinear cascade: the stimulus is compared with a known relevant feature by linear filtering, and based on that comparison, a nonlinear function predicts the firing response. Spike-triggered covariance analysis allows us to determine a generalization of this model in which firing depends on more than one spike-triggering feature or stimulus dimension. We found two current features relevant for NM spike generation; the most important simply smooths the current on short time scales, whereas the second confers sensitivity to rapid changes. A model based on these two features captured more mutual information between current and spikes than a model based on a single feature. We used this analysis to characterize the changes in the computation brought about by pharmacological manipulation of the biophysical properties of the neurons. Blockage of low-threshold voltage-gated potassium channels selectively eliminated the requirement for the second stimulus feature, generalizing our understanding of input selectivity by NM cells. This study demonstrates the power of covariance analysis for investigating single neuron computation.

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Activation of group II metabotropic glutamate receptors inhibits glutamate release from salamander retinal photoreceptors.

We investigated the effects of group II metabotropic glutamate receptor (mGluR) activation on excitatory synaptic transmission in the salamander retinal slice preparation. The group II selective agonists DCG-IV and LY354740 reduced light-evoked excitatory postsynaptic currents (EPSCs) in ganglion cells. To determine the synaptic basis of this effect, we also recorded from bipolar cells and horizontal cells. In ON bipolar cells, DCG-IV increased the inward current in darkness but did not affect the peak current at light onset. In OFF bipolar cells and horizontal cells, DCG-IV had the opposite effect, reducing the inward current in darkness. Given the opposite polarities of these two classes of synapses, our results suggest that group II mGluRs act presynaptically to reduce glutamate release from photoreceptors. To determine whether DCG-IV affected rods or cones, we applied light stimuli that selectively activate each type of photoreceptor. In horizontal cells, most of which receive mixed synaptic input from rods and cones, DCG-IV reduced rod-driven EPSCs evoked by 470-nm stimuli and cone-driven EPSCs elicited by 700-nm stimuli in the presence of a rod-saturating background. Thus, activation of group II mGluRs reduced rod- and cone-mediated glutamate release. Our results suggest that group II mGluRs could mediate feedback by which extracellular glutamate inhibits glutamate release from photoreceptor terminals.

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