Neuronal Mechanisms and Transformations Encoding Time-Varying Signals

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Neuronal Mechanisms and Transformations Encoding Time-Varying Signals Christopher I. Petkov, Daniel Bendor Neuron Volume 91, Issue 4, Pages 718-721 (August 2016) DOI: 10.1016/j.neuron.2016.08.006 Copyright © 2016 Elsevier Inc. Terms and Conditions

Figure 1 Natural Variation in Sound Rate and Neural Coding Principles (A) Example sounds with different time-varying features and percepts are the drumming of the woodpecker and the cricket’s song; see text and listen to Audio S1 and S2. (B) Responses of Sync (green), nSync+ (blue), and nSync− (red) neurons to a sequence of acoustic events, repeated at a low repetition rate (top) or a high repetition rate (bottom). Neuron 2016 91, 718-721DOI: (10.1016/j.neuron.2016.08.006) Copyright © 2016 Elsevier Inc. Terms and Conditions

Figure 2 Neuronal Mechanisms of Rate Coding in Awake Marmoset Auditory Cortex (A) Illustrated assembly showing approach for sharp electrode intracellular recordings in awake marmoset auditory cortex. (B) Subthreshold and spiking responses for two categories of non-synchronizing (nSync) neuronal responses representing sound rate with an increase in firing rate (more spikes or greater membrane depolarization for higher sound frequency rates; nSync+) or with a decrease in firing rate for higher frequencies (nSync−). (C) A biologically informed computational model of excitatory and inhibitory neuronal interactions that give rise to the subpopulations of Sync or nSync+/− neuronal responses. Images from Gao et al. (2016). Neuron 2016 91, 718-721DOI: (10.1016/j.neuron.2016.08.006) Copyright © 2016 Elsevier Inc. Terms and Conditions