Multiunit Recordings Research Articles

Dopaminergic Modulation of Afferent Synaptic Transmission in the Semicircular Canals of Frogs

Using multiunit recording of action potentials from the whole nerve with the aid of external perfusion, we investigated the effects of dopamine (DOP) agonists that are involved in modulatory actions on synaptic transmission in the isolated labyrinth preparations of frogs. The external application of DOP (0.1–1 mM), the D₁ agonist chloro-APB hydrobromide (CAPB, 50–100 μM) and the D₂ agonist quinerolane (QUI, 50–100 μM) induced a dose-dependent and reversible decline in the resting discharge frequency. In this concentration range, the potency of applied CAPB considerably exceeded that of QUI. AMPA, NMDA and ACPD responses were inhibited by the D₁ and D₂ agonists, implicating both subtypes of DOP receptors in the modulation of both ionotropic and metabotropic glutamate receptors. The inhibitory action of the DOP agonists on L-glutamate responses persisted in a high Mg²⁺ solution in conditions of selective activation of the postsynaptic membrane. The results obtained suggest that DOP may interact with both D₁ and D₂ receptor subtypes, most likely located postsynaptically on the afferent nerve fibers. This dopaminergic control mechanism may result in the reduction of the activated firing rate, thus preventing over-excitation and excitotoxic injury of the afferent dendrites after the external application of L-glutamate and excessive receptor stimulation.

Toward a brain–machine interface with large-scale multi-unit recording and wireless controllable omni-directional vehicle

Toward a brain–machine interface with large-scale multi-unit recording and wireless controllable omni-directional vehicle

Functional Connectivity between Neuronal Ensembles through Nonlinear Modeling

Event Abstract Back to Event Functional Connectivity between Neuronal Ensembles through Nonlinear Modeling Increasing availability of multi-unit data gives new urgency to the need for effective tools to analyze the recorded activity of neuronal ensembles. Moreover, the implementation of neuroprosthetic devices requires a reliable and accurate quantitative representation of the input-output transformations present in the system under study. Nonparametric, data driven models with predictive capabilities are excellent candidates for these purposes. When modeling input-output relations in multi-input neuronal systems, it is important to select the subset of inputs that are functionally and causally related to the output. Inputs that do not convey information about the actual transformation not only increase the computational burden but also affect the generalization of the model. Moreover, a reliable functional connectivity measure can provide patterns of information flow that can be linked to physiological and anatomical properties of the system. We propose a method based on the Volterra modeling approach that selects distinct subsets of inputs for each output based on the prediction of the respective models and its statistical evaluation using the Mann-Whitney statistic. The algorithm builds successive models with increasing number of inputs and examines whether the inclusion of additional inputs benefits the predictive accuracy of the overall model. The method accounts for nonlinear causal relationships between the inputs and outputs. It also explores possible second-order (inter-modulatory) cross-interactions among the inputs. The method’s robustness to various cases of point-process noise (spurious spikes, spike jitter, deleted spikes, missasigned spikes) was tested through simulated examples. Comparison of the proposed algorithm’s performance with widely used methods such as Granger causality and cross-coherence based methods reveals greater robustness to noise. The method was applied to multi-unit recordings from the CA3 (input) and CA1 (output) regions of the hippocampus in behaving rats, in order to reveal spatiotemporal connectivity maps of the input-output transformation taking place in the CA3-CA1 synapse. The contribution of the nonlinear components and the inclusion of cross-interacting inputs accounts for 25% and 8% more connections respectively, when the algorithm is applied to hippocampal data. The method provides a practical, data driven and computationally efficient way to explore causal connections among multiple neuronal ensembles, while accounting for nonlinearities and cross-interactions among the inputs of the system. Conference: Computational and systems neuroscience 2009, Salt Lake City, UT, United States, 26 Feb - 3 Mar, 2009. Presentation Type: Poster Presentation Topic: Poster Presentations Citation: (2009). Functional Connectivity between Neuronal Ensembles through Nonlinear Modeling. Front. Syst. Neurosci. Conference Abstract: Computational and systems neuroscience 2009. doi: 10.3389/conf.neuro.06.2009.03.116 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 02 Feb 2009; Published Online: 02 Feb 2009. Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Google Google Scholar PubMed Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

Differential Effects of Aging on Fore– and Hindpaw Maps of Rat Somatosensory Cortex

Getting older is associated with a decline of cognitive and sensorimotor abilities, but it remains elusive whether age-related changes are due to accumulating degenerational processes, rendering them largely irreversible, or whether they reflect plastic, adaptational and presumably compensatory changes. Using aged rats as a model we studied how aging affects neural processing in somatosensory cortex. By multi-unit recordings in the fore- and hindpaw cortical maps we compared the effects of aging on receptive field size and response latencies. While in aged animals response latencies of neurons of both cortical representations were lengthened by approximately the same amount, only RFs of hindpaw neurons showed severe expansion with only little changes of forepaw RFs. To obtain insight into parallel changes of walking behavior, we recorded footprints in young and old animals which revealed a general age-related impairment of walking. In addition we found evidence for a limb-specific deterioration of the hindlimbs that was not observed in the forelimbs. Our results show that age-related changes of somatosensory cortical neurons display a complex pattern of regional specificity and parameter-dependence indicating that aging acts rather selectively on cortical processing of sensory information. The fact that RFs of the fore- and hindpaws do not co-vary in aged animals argues against degenerational processes on a global scale. We therefore conclude that age-related alterations are composed of plastic-adaptive alterations in response to modified use and degenerational changes developing with age. As a consequence, age-related changes need not be irreversible but can be subject to amelioration through training and stimulation.

From network heterogeneities to familiarity detection and hippocampal memory management

Hippocampal-neocortical interactions are key to the rapid formation of novel associative memories in the hippocampus and consolidation to long term storage sites in the neocortex. We investigated the role of network correlates during information processing in hippocampal-cortical networks. We found that changes in the intrinsic network dynamics due to the formation of structural network heterogeneities alone act as a dynamical and regulatory mechanism for stimulus novelty and familiarity detection, thereby controlling memory management in the context of memory consolidation. This network dynamic, coupled with an anatomically established feedback between the hippocampus and the neocortex, recovered heretofore unexplained properties of neural activity patterns during memory management tasks which we observed during sleep in multiunit recordings from behaving animals. Our simple dynamical mechanism shows an experimentally matched progressive shift of memory activation from the hippocampus to the neocortex and thus provides the means to achieve an autonomous off-line progression of memory consolidation.

Neuronal Activity of the Human Subthalamic Nucleus in the Parkinsonian and Nonparkinsonian State

We recorded resting-state neuronal activity from the human subthalamic nucleus (STN) during functional stereotactic surgeries. By inserting up to five parallel microelectrodes for single- or multiunit recordings and applying statistical spike-sorting methods, we were able to isolate a total of 351 single units in 65 patients with Parkinson's disease (PD) and 33 single units in 9 patients suffering from essential tremor (ET). Among these were 93 pairs of simultaneously recorded neurons in PD and 17 in ET, which were detected either by the same (n = 30) or neighboring microelectrodes (n = 80). Essential tremor is a movement disorder without any known basal ganglia pathology and with normal dopaminergic brain function. By comparing the neuronal activity of the STN in patients suffering from PD and ET we intended to characterize, for the first time, changes of basal ganglia activity in the human disease state that had previously been described in animal models of Parkinson's disease. We found a significant increase in the mean firing rate of STN neurons in PD and a relatively larger fraction of neurons exhibiting burstlike activity compared with ET. The overall proportion of neurons exhibiting intrinsic oscillations or interneuronal synchronization as defined by significant spectral peaks in the auto- or cross-correlations functions did not differ between PD and ET when considering the entire frequency range of 1-100 Hz. The distribution of significant oscillations across the theta (1-8 Hz), alpha (8-12 Hz), beta (12-35 Hz), and gamma band (>35 Hz), however, was uneven in ET and PD, as indicated by a trend in Fisher's exact test (P = 0.05). Oscillations and pairwise synchronizations within the 12- to 35-Hz band were a unique feature of PD. Our results confirm the predictions of the rate model of Parkinson's disease. In addition, they emphasize abnormalities in the patterning and dynamics of neuronal discharges in the parkinsonian STN, which support current concepts of abnormal motor loop oscillations in Parkinson's disease.

Nonlinear Modeling of Causal Interrelationships in Neuronal Ensembles

The increasing availability of multiunit recordings gives new urgency to the need for effective analysis of "multidimensional" time-series data that are derived from the recorded activity of neuronal ensembles in the form of multiple sequences of action potentials--treated mathematically as point-processes and computationally as spike-trains. Whether in conditions of spontaneous activity or under conditions of external stimulation, the objective is the identification and quantification of possible causal links among the neurons generating the observed binary signals. A multiple-input/multiple-output (MIMO) modeling methodology is presented that can be used to quantify the neuronal dynamics of causal interrelationships in neuronal ensembles using spike-train data recorded from individual neurons. These causal interrelationships are modeled as transformations of spike-trains recorded from a set of neurons designated as the "inputs" into spike-trains recorded from another set of neurons designated as the "outputs." The MIMO model is composed of a set of multiinput/single-output (MISO) modules, one for each output. Each module is the cascade of a MISO Volterra model and a threshold operator generating the output spikes. The Laguerre expansion approach is used to estimate the Volterra kernels of each MISO module from the respective input-output data using the least-squares method. The predictive performance of the model is evaluated with the use of the receiver operating characteristic (ROC) curve, from which the optimum threshold is also selected. The Mann-Whitney statistic is used to select the significant inputs for each output by examining the statistical significance of improvements in the predictive accuracy of the model when the respective inputs is included. Illustrative examples are presented for a simulated system and for an actual application using multiunit data recordings from the hippocampus of a behaving rat.

Outcome of Bilateral Subthalamic Nucleus Stimulation in the Treatment of Parkinson’s Disease: Correlation with Intra-Operative Multi-Unit Recordings but Not with the Type of Anaesthesia

Background: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) gained general acceptance in the treatment of Parkinson’s disease (PD). Objective: To study the clinical outcome and the predicting factors of efficacy of chronic STN stimulation, while DBS electrodes were implanted under local or general anaesthesia with intra-operative electrophysiological guidance based on multi-unit recordings. Methods: We included a large single-centre cohort of 54 patients with advanced PD (mean age: 59 years; disease duration: 14 years). Clinical evaluation was performed by the Unified Parkinson’s Disease Rating Scale (UPDRS) before and 1 year after surgical placement of DBS electrodes. Results: In the on-stimulation and off-medication condition, the UPDRS part III score was reduced by 56% compared to the off-stimulation condition or pre-operative off-drug score. In the on-stimulation and on-medication condition, this score was reduced by 73%. The severity of motor fluctuations and dyskinesia (UPDRS part IV) and the activities of daily living (UPDRS part II) were reduced by 65 and 80%, respectively, in the on-stimulation/on-medication condition compared to the pre-operative baseline. The daily dose of antiparkinsonian treatment was diminished by 72%. Among the various pre- and intra-operative data, the most important predictive factor for clinical efficacy of STN stimulation was the length of hyperactivity along the best track observed in intra-operative multi-unit recordings. Other predictive factors included age, disease duration and pre-operative levodopa responsiveness or baseline off-drug values of the Hoehn and Yahr and UPDRS part III scores. In contrast, the type of anaesthesia (local vs. general) did not significantly influence the clinical outcome. Conclusion: The present results are in the average of previously published results, but they have been obtained from a large single-centre cohort of patients with important reductions in the daily dose of antiparkinsonian drugs. This study confirmed the efficacy of the STN-DBS technique and emphasized the value of an original intra-operative electrophysiological approach based on multi-unit and not single-unit quantified recordings. This method allows DBS electrode implantation to be safely performed under general anaesthesia without lessening the rate of efficacy of the procedure.

Comparison of spatial integration and surround suppression characteristics in spiking activity and the local field potential in macaque V1

Neurons in primary visual cortex exhibit well documented centre-surround receptive field organization, whereby the centre is dominated by excitatory influences and the surround is generally dominated by inhibitory influences. These effects have largely been established by measuring the output of neurons, i.e. their spiking activity. How excitation and inhibition are reflected in the local field potential (LFP) is little understood. As this can bear on the interpretation of human fMRI BOLD data and on our understanding of the mechanisms of local field potential oscillations, we measured spatial integration and centre-surround properties in single- and multiunit recordings of V1 in the awake fixating macaque monkey, and compared these to spectral power in different frequency bands of simultaneously recorded LFPs. We quantified centre-surround organization by determining the size of the summation and suppression area in spiking activity as well as in different frequency bands of the LFP, with the main focus on the gamma band. Gratings extending beyond the summation area usually inhibited spiking activity while the LFP gamma-band activity increased monotonically for all grating sizes. This increase was maximal for stimuli infringing upon the near classical receptive field surround, where suppression started to dominate spiking activity. Thus, suppressive influences in primary cortex can be inferred from spiking activity, but they also seem to affect specific features of gamma-band LFP activity.

Responses of cardiac sympathetic nerve activity to changes in circulating volume differ in normal and heart failure sheep

Factors controlling cardiac sympathetic nerve activity (CSNA) in the normal state and those causing the large increase in activity in heart failure (HF) remain unclear. We hypothesized from previous clinical findings that activation of cardiac mechanoreceptors by the increased blood volume in HF may stimulate sympathetic nerve activity (SNA), particularly to the heart via cardiocardiac reflexes. To investigate the effect of volume expansion and depletion on CSNA we have made multiunit recordings of CSNA in conscious normal sheep and sheep paced into HF. In HF sheep (n = 9) compared with normal sheep (n = 9), resting levels of CSNA were significantly higher (34 +/- 5 vs. 93 +/- 2 bursts/100 heart beats, P < 0.05), mean arterial pressure was lower (76 +/- 3 vs. 87 +/- 2 mmHg; P < 0.05), and central venous pressure (CVP) was greater (3.0 +/- 1.0 vs. 0.0 +/- 1.0 mmHg; P < 0.05). In normal sheep (n = 6), hemorrhage (400 ml over 30 min) was associated with a significant increase in CSNA (179 +/- 16%) with a decrease in CVP (2.7 +/- 0.7 mmHg). Volume expansion (400 ml Gelofusine over 30 min) significantly decreased CSNA (35 +/- 12%) and increased CVP (4.7 +/- 1.0 mmHg). In HF sheep (n = 6) the responses of CSNA to both volume expansion and hemorrhage were severely blunted with no significant changes in CSNA or heart rate with either stimulus. In summary, these studies in a large conscious mammal demonstrate that in the normal state directly recorded CSNA increased with volume depletion and decreased with volume loading. In contrast, both of these responses were severely blunted in HF with no significant changes in CSNA during either hemorrhage or volume expansion.

Performance evaluation of PCA-based spike sorting algorithms

Deciphering the electrical activity of individual neurons from multi-unit noisy recordings is critical for understanding complex neural systems. A widely used spike sorting algorithm is being evaluated for single-electrode nerve trunk recordings. The algorithm is based on principal component analysis (PCA) for spike feature extraction. In the neuroscience literature it is generally assumed that the use of the first two or most commonly three principal components is sufficient. We estimate the optimum PCA-based feature space by evaluating the algorithm's performance on simulated series of action potentials. A number of modifications are made to the open source nev2lkit software to enable systematic investigation of the parameter space. We introduce a new metric to define clustering error considering over-clustering more favorable than under-clustering as proposed by experimentalists for our data. Both the program patch and the metric are available online. Correlated and white Gaussian noise processes are superimposed to account for biological and artificial jitter in the recordings. We report that the employment of more than three principal components is in general beneficial for all noise cases considered. Finally, we apply our results to experimental data and verify that the sorting process with four principal components is in agreement with a panel of electrophysiology experts.

The Olfactory Glomerulus: A Model for Neuro-Glio-Vascular Biology

The cellular basis of brain imaging is emerging as a new frontier in current neuroscience. In this issue of Neuron, Petzold et al. analyze a model system, the olfactory glomerulus, to show how neurovascular coupling involves an elaborate dance between axon terminals, presynaptic and postsynaptic dendrites, glial cells, and the capillary network.

High-Frequency Whisker Vibration Is Encoded by Phase-Locked Responses of Neurons in the Rat's Barrel Cortex

Rats perform texture discrimination during tactile exploration with their whiskers with high spatial and temporal precision. Although the peripheral mechanoreceptors provide tactile information with exquisite temporal resolution, physiological studies have suggested that this information might be lost at the cortical level. To address this discrepancy, multiunit and single-unit recordings were performed in the barrel cortex of isoflurane-anesthetized rats using continuous sinusoidal vibration of single whiskers at 15-700 Hz. In multiunit recordings, sustained phase-locked responses occurred up to vibration frequencies of 700 Hz, and 1:1 stimulus locking was observed up to 320 Hz. Wide-band responses of multiunits showed frequency encoding between 20 and 320 Hz. The discharge rates were not different for stimuli in the low- and high-frequency ranges, but they were significantly lower for non-phase-locked responses to high-frequency vibration. Response adaptation was present in only 25% of the cases, whereas in the majority of cases, entrainment to the vibratory frequency remained constant or even increased with stimulus duration. Increased entrainment to high-frequency stimulation was accompanied by the emergence of induced activity in the gamma-band range. Analysis of single-unit activity revealed that phase locking to vibratory stimuli was more precise than that observed for the multiunit responses. The results show that whisker vibrations at frequencies above 100 Hz are faithfully encoded by sustained phase-locked responses of cortical neurons under isoflurane anesthesia. It is conceivable that the awake animal makes use of the tactile signals at even much higher frequencies, which can be provided by the peripheral mechanoreceptors during texture discrimination.

Functional evidence for internal feedback in the songbird brain nucleus HVC

The song control system of songbirds consists mainly of the 'motor pathway' and 'anterior forebrain pathway'. The medial magnocellular nucleus of anterior nidopallium (mMAN) projects to the song control nucleus HVC, which is the point of divergence of the two pathways. We made simultaneous multiunit electrophysiological recordings from the mMAN and HVC in anesthetized Bengalese finches. We confirmed that the mMAN neurons showed song-selective auditory responses, and found temporal correlations between song-related activities of the mMAN and HVC neurons. The temporal relationship between the neural activation of the HVC and mMAN suggests that these nuclei are parts of a closed loop, which could provide internal feedback to the HVC for sequential syllable control.

SINGLE‐UNIT SYMPATHETIC DISCHARGE PATTERN IN PATHOLOGICAL CONDITIONS ASSOCIATED WITH ELEVATED CARDIOVASCULAR RISK

1. Although measuring the rate of firing of multi-unit muscle sympathetic nerve activity (MSNA) has provided important information in many aspects of cardiovascular medicine, measuring single-unit vasoconstrictor activity provides a better understanding of the possible mechanisms underlying disturbed sympathetic nervous system activity. 2. Detailed firing patterns of sympathetic vasoconstrictor neurons have been recorded in conditions associated with sympathoexcitation such as heart failure, obstructive sleep apnoea syndrome, hypertension and obesity; conditions in which cardiovascular morbidity and mortality are demonstrably elevated. 3. Moreover, in conditions such as anxiety disorders and depression, in which elevated cardiovascular risk has recently been established, single-unit analysis has highlighted a disturbed sympathetic firing pattern, which could not be identified on multi-unit MSNA recording. This disturbed sympathetic nerve firing pattern, characterized by increased incidence of multiple firing within a sympathetic burst, has deleterious consequences on the cardiovascular system. 4. Single-unit methodology may represent a major step forward in the understanding of the link between disturbed sympathetic nerve firing and associated cardiovascular risk.

D-Amphetamine depresses visual responses in the rat superior colliculus: a possible mechanism for amphetamine-induced decreases in distractibility

Amphetamines can enhance sustained attention, and reduce distractibility, in normal subjects and patients with attentional-deficit/hyperactivity disorder (ADHD). Their mechanism of action in this regard is unknown, however one possibility is that the drugs affect the superior colliculus (SC), a structure with a clearly defined role in distractibility. The aim of the present studies was to explore the effect of systemically and locally administered d-amphetamine on visual responses in the superficial layers of the SC to wholefield light flashes in the rat, using local field potential and multi-unit recording. Systemic and intra-collicular d-amphetamine both produced a dose-related depression of visual activity, which sometimes progressed to inactivation of the multi-unit response at the highest dose. As a consequence, it is possible that amphetamines enhance sustained attention, and reduce distractibility, via an action on the colliculus. A corollary of this is that collicular dysfunction may underlie enhanced distractibility in ADHD.

Spectral processing deficits in belt auditory cortex following early postnatal lesions of somatosensory cortex

Induced or genetically based cortical laminar malformations in somatosensory cortex have been associated with perceptual and acoustic processing deficits in mammals. Perinatal freeze-lesions of developing rat primary somatosensory (S1) cortex induce malformations resembling human microgyria. Induced microgyria located in parietal somatosensory cortex have been linked to reduced behavioral detection of rapid sound transitions and altered spectral processing in primary auditory cortex (A1). Here we asked whether belt auditory cortex function would be similarly altered in rats with S1 microgyria (MG+). Pure-tone acoustic response properties were assessed in A1 and ventral auditory (VAF) cortical fields with Fourier optical imaging and multi-unit recordings. Three changes in spectral response properties were observed in both A1 and VAF in MG+ rats: 1) multi-unit response magnitudes were reduced 2) optical and multi-unit frequency responses were more variable; 3) at high sound levels units responded to a broader range of pure-tone frequencies. Optical and multi-unit pure-tone response magnitudes were both reduced for low sound levels in VAF but not A1. Sound level “tuning” was reduced in VAF but not in A1. Finally, in VAF frequency tuning and spike rates near best frequency were both altered for mid- but not high-frequency recording sites. These data suggest that VAF belt auditory cortex is more vulnerable than A1 to early postnatal induction of microgyria in neighboring somatosensory cortex.

Non-plastic reorganization of frequency coding in the inferior colliculus of the rat following noise-induced hearing loss

It is well established that restricted mechanical lesions of the cochlea result in reorganization of the tonotopic map in the auditory thalamus and cortex, but it is unclear whether acoustic trauma produces similar effects at earlier stages of the auditory pathways. To test whether the tonotopic map is reorganized after acoustic trauma at the midbrain level, i.e. the inferior colliculus (IC), we exposed rats to an acoustic trauma and let them survive for at least 5 weeks to ensure that we produced a permanent threshold shift. Experiments were carried out in urethane-anesthetized animals 35–296 days after the traumatic exposure. The acoustic lesions were assessed by measuring the compound action potential. We mapped the frequency organization of the IC using multiunit recordings. In addition, we recorded frequency response areas (FRAs) when a single unit was isolated (N=142). The results show that acoustic trauma produces a persistent reorganization of the tonotopic map and that the normal stepwise representation of sound frequency in the IC is profoundly disrupted. Although the reorganization in the IC is similar to that previously described in the cortex and thalamus in that the affected area appears to be invaded by the adjacent normal frequencies, changes in thresholds and FRAs in these regions are different from those in the forebrain. We conclude that most of the changes can be explained by the residual-response hypothesis [Irvine DR, Rajan R, Smith S (2003) Effects of restricted cochlear lesions in adult cats on the frequency organization of the inferior colliculus. J Comp Neurol 467:354–374]. Plastic reorganization of frequency response areas and tonotopic organization does not seem to occur at the midbrain level following acoustic trauma in adult animals in a manner similar to that previously shown in the auditory cortex. Maintaining the stability of the neuronal circuitry for frequency coding in the IC may be important for the treatment of noise-induced hearing loss.

Coding of FM sweep trains and twitter calls in area CM of marmoset auditory cortex

The primate auditory cortex contains three interconnected regions (core, belt, parabelt), which are further subdivided into discrete areas. The caudomedial area (CM) is one of about seven areas in the belt region that has been the subject of recent anatomical and physiological studies conducted to define the functional organization of auditory cortex. The main goal of the present study was to examine temporal coding in area CM of marmoset monkeys using two related classes of acoustic stimuli: (1) marmoset twitter calls; and (2) frequency-modulated (FM) sweep trains modeled after the twitter call. The FM sweep trains were presented at repetition rates between 1 and 24 Hz, overlapping the natural phrase frequency of the twitter call (6–8 Hz). Multiunit recordings in CM revealed robust phase-locked responses to twitter calls and FM sweep trains. For the latter, phase-locking quantified by vector strength (VS) was best at repetition rates between 2 and 8 Hz, with a mean of about 5 Hz. Temporal response patterns were not strictly phase-locked, but exhibited dynamic features that varied with the repetition rate. To examine these properties, classification of the repetition rate from the temporal response pattern evoked by twitter calls and FM sweep trains was examined by Fisher’s linear discrimination analysis (LDA). Response classification by LDA revealed that information was encoded not only by phase-locking, but also other components of the temporal response pattern. For FM sweep trains, classification was best for repetition rates from 2 to 8 Hz. Thus, the majority of neurons in CM can accurately encode the envelopes of temporally complex stimuli over the behaviorally-relevant range of the twitter call. This suggests that CM could be engaged in processing that requires relatively precise temporal envelope discrimination, and supports the hypothesis that CM is positioned at an early stage of processing in the auditory cortex of primates.

Multi-unit recording of antennal mechano-sensitive units in the central complex of the cockroach, Blaberus discoidalis

The central complex (CC) is a group of midline neuropils in the protocerebrum of all insects (Williams, J Zool, 176:67-86, 1975; Strausfeld, Prog Brain Res, 123:273-284, 1999). Its columnar organization coupled with the anatomical tracts to and from this region suggests that the CC may supervise various forms of locomotion. In cockroach, lesions of the CC affect turning and controlled climbing over blocks (Ridgel et al., J Comp Physiol A, 193:385-402, 2007). Since these behaviors are largely directed by tactile cues detected by antennae, we predicted that some neurons in the CC respond to mechanical antennal stimulation. We used 16-channel probes to record from broad regions within the CC, while mechanically stimulating one or the other antenna. Using cluster cutting procedures, we examined 277 units in 31 preparations. Many of these units responded to mechanical stimulation of the antennae, and of these, most responded equally well to medial or lateral stimulation of either antenna. However, several units either responded to only one antenna or responded significantly more strongly to one of them. Most of the units responding to antennal stimulation were sensitive to changes in the velocity as well as changes in light. Our data reveal a large population of mult-sensory neurons in the CC that could contribute to locomotion control.