Ketamine is a common anaesthetic agent used in research and more recently as medication in treatment of depression. It has known effects on inhibition of interneurons and cortical stimulus-locked responses, but the underlying functional network mechanisms are still elusive. r Analysing population activity across all layers within the auditory cortex, we found that doses of this anaesthetic induce a stronger activation and stimulus-locked response to pure-tone stimuli. r This cortical response is driven by gain enhancement of thalamocortical input processing selectively within granular layers due to an increased recurrent excitation. r Time-frequency analysis indicates a higher broadband magnitude response and prolonged phase coherence in granular layers, possibly pointing to disinhibition of this recurrent excitation. r These results further the understanding of ketamine's functional mechanisms, which will improve the ability to interpret physiological studies moving from anaesthetized to awake paradigms and may lead to the development of better ketamine-based depression treatments with lower side effects.

Reward associations during auditory learning induce cortical plasticity in the primary auditory cortex. A prominent source of such influence is the ventral tegmental area (VTA), which conveys a dopaminergic teaching signal to the primary auditory cortex. Yet, it is unknown, how the VTA influences cortical frequency processing and spectral integration. Therefore, we investigated the temporal effects of direct optogenetic stimulation of the VTA onto spectral integration in the auditory cortex on a synaptic circuit level by current-source-density analysis in anesthetized Mongolian gerbils. While auditory lemniscal input predominantly terminates in the granular input layers III/IV, we found that VTA-mediated modulation of spectral processing is relayed by a different circuit, namely enhanced thalamic inputs to the infragranular layers Vb/VIa. Activation of this circuit yields a frequency-specific gain amplification of local sensory input and enhances corticocortical information transfer, especially in supragranular layers I/II. This effects persisted over more than 30 minutes after VTA stimulation. Altogether, we demonstrate that the VTA exhibits a long-lasting influence on sensory cortical processing via infragranular layers transcending the signaling of a mere reward-prediction error. We thereby demonstrate a cellular and circuit substrate for the influence of reinforcement-evaluating brain systems on sensory processing in the auditory cortex.

The primary auditory cortex (A1) is an essential, integrative node that encodes the behavioral relevance of acoustic stimuli, predictions, and auditory-guided decision-making. However, the realization of this integration with respect to the cortical microcircuitry is not well understood. Here, we characterize layer-specific, spatiotemporal synaptic population activity with chronic, laminar current source density analysis in Mongolian gerbils (Meriones unguiculatus) trained in an auditory decision-making Go/NoGo shuttle-box task. We demonstrate that not only sensory but also task-and choice-related information is represented in the mesoscopic neuronal population code of A1. Based on generalized linear-mixed effect models we found a layer-specific and multiplexed representation of the task rule, action selection, and the animal's behavioral options as accumulating evidence in preparation of correct choices. The findings expand our understanding of how individual layers contribute to the integrative circuit in the sensory cortex in order to code task-relevant information and guide sensorybased decision-making.

The primary auditory cortex (A1) is an essential node in the integrative brain network that encodes the behavioral relevance of acoustic stimuli, predictions, and auditory-guided decision making. Previous studies have revealed task-related information being present at both the single-unit and population activity. However, its realization with respect to the cortical microcircuitry is less well understood. In this study, we used chronic, laminar current source density (CSD) analysis from the A1 of behaving Mongolian gerbils (Meriones unguiculatus) in order to characterize layer-specific, spatiotemporal synaptic population activity. Animals were trained to first detect and subsequently to discriminate two pure tone frequencies in consecutive training phases in a Go/NoGo shuttle-box task. We demonstrate that not only sensory but also task-and choice-related information is represented in the mesoscopic neuronal population code distributed across cortical layers. Based on a single-trial analysis using generalized linear-mixed effect models (GLMM), we found infragranular layers to be involved in auditoryguided action initiation during tone detection. Supragranular layers, particularly, are involved in the coding of choice options during tone discrimination. Further, we found that the overall columnar synaptic network activity represents the accuracy of the opted choice. Our study thereby suggests a multiplexed representation of stimulus features in dependence of the task, action selection, and the behavioral options of the animal in preparation of correct choices. The findings expand our understanding of how individual layers contribute to the integrative circuit of the A1 in order to code task-relevant information and guide sensory-based decision making.

We very much thank Silvia Vieweg for assistance with surgeries, histology and optimization of 29 immunostainings. We further thank Janet Stallmann and Kathrin Ohl for assistance with 30 surgeries, histology-and immunostaining of brain slices. We Abstract 44In order to reinforce relevant behavior, reinforcement-evaluating brain structures interact with 45 circuits involved in sensory processing. During reward-based auditory learning, the ventral 46 tegmental area (VTA) conveys a dopaminergic teaching signal to the primary auditory cortex. 47It has been shown that dopaminergic levels within the auditory cortex are constantly increased 48 during initial auditory acquisition learning (Stark and Scheich, 1997). It is currently unknown, 49 however, how the VTA circuitry thereby influences cortical frequency information processing 50 and spectral integration. In this study, we therefore investigated the temporal effects of direct 51 VTA stimulation on sensory processing in the auditory cortex of anesthetized male Mongolian 52 gerbils on a synaptic circuit level by current-source-density analysis. While auditory lemniscal 53 input predominantly terminates in the granular input layers III/IV, we found that reward-related 54 modulation of spectral processing is relayed by a different circuit, namely thalamic inputs to 55 the infragranular layers Vb/VIa under the control of the VTA. Activation of this circuit yields 56 a frequency-specific gain amplification of sensory input and enhances corticocortical 57 information transfer, especially in supragranular layers I/II. We further verified that the gain 58 modulation of early thalamocortical inputs increase local intracolumnar processing, while 59 supragranular amplification is due to strengthened corticocortical processing. Altogether, this 60 modulation manifests as a long-lasting influence transcending the signaling of a mere reward-61 prediction error, as previously suggested by the aforementioned behavioral experiments. For 62 the first time, our findings demonstrate a cellular and circuit substrate substrate for reward-63 mediated influences in the auditory cortex. 64 Keywords: 65 Dopamine, auditory cortex, Mongolian gerbil, current source density, ventral tegmental area, 66 optogenetics 67 Significance Statement 68 Phasic release of dopamine from the ventral tegmental area has long been associated with the 69 reward prediction error signal postulated by reinforcement learning theory. How dopamine 70released by the VTA affects the plasticity that integrates sensory information and such learning-71 related signals in sensory cortex, however, is unknown. 72Here, we show that VTA-based dopamine effectuated a long-lasting gain modulation of sensory 73 thalamocortical inputs into the infragranular layers in gerbil auditory cortex. Our findings 74 therefore assign a specific function to this rather understudied cortical circuit: VTA-modulated 75 input to deep layer neurons in the sensory cortex mediates the integration of sensory and task-76 related information even when they...

The N-methyl-D-aspartate (NMDA) receptor antagonist, ketamine, is commonly used as an anesthetic agent and has more recently gained attention as an antidepressant. Ketamine has been linked to increased stimulus-locked excitability, inhibition of interneurons, and modulation of intrinsic neuronal oscillations. However, the functional network mechanisms are still elusive. A better understanding of these anesthetic network effects may improve upon previous interpretations of seminal studies conducted under anesthesia and have widespread relevance for neuroscience with awake and anesthetized subjects as well as in medicine. Here, we investigated the effects of anesthetic doses of ketamine (15mg kg−1/h i.p.) on the network activity after pure tone stimulation within the auditory cortex of male Mongolian gerbils (Meriones unguiculatus). We used laminar current source density (CSD) analysis and subsequent layer-specific continuous wavelet analysis to investigate spatiotemporal response dynamics on cortical columnar processing in awake and ketamine-anesthetized animals. We found thalamocortical input processing within granular layers III/IV to be significantly increased under ketamine. This effect on early thalamocortical input processing was not due to changes in cross-trial phase coherence. Rather, the layer-dependent gain enhancement under ketamine was attributed to a broadband increase in amplitude reflecting an increase in recurrent excitation. The time-frequency analysis is further indicative of a prolonged period of stimulus-induced excitation possibly due to a reduced coupling of excitation and inhibition in granular input circuits—in line with the common hypothesis of cortical disinhibition via NMDA-mediated suppression of GABAergic interneurons.Statement of significanceKetamine is a common anesthetic agent and is known to alter excitability and neuronal synchronicity in the cortex. We reveal here that anesthetic doses of ketamine increase recurrent excitation of thalamic input in the granular layers of the auditory cortex of Mongolian gerbils. This leads to a layer-specific gain enhancement of the time-locked response to external stimuli. Analysis of tone-evoked amplitudes and cross-trial variability of cortical current sources and sinks indicate a mechanism of cortical disinhibition via NMDA-mediated suppression of GABAergic interneurons. Our findings might help to understand the functional mechanisms of the clinical effects of ketamine promoting the development of new therapeutic agents with lower side effects.

The emergent coherent population activity from thousands of stochastic neurons in the brain is believed to constitute a key neuronal mechanism for salient processing of external stimuli and its link to internal states like attention and perception. In the sensory cortex, functional cell assemblies are formed by recurrent excitation and inhibitory influences. The stochastic dynamics of each cell involved is largely orchestrated by presynaptic CAV2.1 voltage-gated calcium channels (VGCCs). Cav2.1 VGCCs initiate the release of neurotransmitters from the presynaptic compartment and are therefore able to add variability into synaptic transmission which can be partly explained by their mobile organization around docked vesicles. To investigate the relevance of Cav2.1 channel surface mobility for the input processing in the primary auditory cortex (A1) in vivo, we make use of a new optogenetic system which allows us to acutely cross-link Cav2.1 VGCCs via a photo-cross-linkable cryptochrome mutant, CRY2olig. In order to map neuronal activity across all cortical layers of the A1, we performed laminar current-source density (CSD) recordings with varying auditory stimulus sets in transgenic mice with a citrine tag on the N-terminus of the VGCCs. Clustering VGCCs suppresses overall sensory-evoked population activity, particularly when stimuli lead to a highly synchronized distribution of synaptic inputs. Our findings reveal the importance of membrane dynamics of presynaptic calcium channels for sensory encoding by dynamically adjusting network activity across a wide range of synaptic input strength.

The brains of black 6 mice (Mus musculus) and Seba′s short-tailed bats (Carollia perspicillata) weigh roughly the same and share the mammalian neocortical laminar architecture. Bats have highly developed sonar calls and social communication and are an excellent neuroethological animal model for auditory research. Mice are olfactory and somatosensory specialists and are used frequently in auditory neuroscience, particularly for their advantage of standardization and genetic tools. Investigating their potentially different general auditory processing principles would advance our understanding of how the ecological needs of a species shape the development and function of the mammalian nervous system. We compared two existing datasets, recorded with linear multichannel electrodes down the depth of the primary auditory cortex (A1) while awake, across both species while presenting repetitive stimulus trains with different frequencies (~5 and ~40 Hz). We found that while there are similarities between cortical response profiles in bats and mice, there was a better signal to noise ratio in bats under these conditions, which allowed for a clearer following response to stimuli trains. This was most evident at higher frequency trains, where bats had stronger response amplitude suppression to consecutive stimuli. Phase coherence was far stronger in bats during stimulus response, indicating less phase variability in bats across individual trials. These results show that although both species share cortical laminar organization, there are structural differences in relative depth of layers. Better signal to noise ratio in bats could represent specialization for faster temporal processing shaped by their individual ecological niches.