论文信息 - Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates

2019 - Scientific Reports

Average firing rate rather than temporal pattern determines metabolic cost of activity in thalamocortical relay neurons

Thalamocortical (TC) relay cells exhibit different temporal patterns of activity, including tonic mode and burst mode, to transmit sensory information to the cortex. Our aim was to quantify the metabolic cost of different temporal patterns of neural activity across a range of average firing rates. We used a biophysically-realistic model of a TC relay neuron to simulate tonic and burst patterns of firing. We calculated the metabolic cost by converting the calculated ion fluxes into the demand for ATP to maintain homeostasis of intracellular ion concentrations. Most energy was expended on reversing Na+ entry during action potentials and pumping Ca2+ out of the cell. Average firing rate determined the ATP cost across firing patterns by controlling the overall number of spikes. Varying intraburst frequency or spike number in each burst influenced the metabolic cost by altering the interactions of inward and outward currents on multiple timescales, but temporal pattern contributed substantially less to the metabolic demand of neural activity as compared to average firing rate. These predictions should be considered when interpreting findings of functional imaging studies that rely of estimates of neuronal metabolic demand, e.g., functional magnetic resonance imaging.

2017 - Experimental physiology

Time‐related changes in firing rates are influenced by recruitment threshold and twitch force potentiation in the first dorsal interosseous

What is the central question of this study? The influences of motor unit recruitment threshold and twitch force potentiation on the changes in firing rates during steady‐force muscular contractions are not well understood. What is the main finding and its importance? The behaviour of motor units during steady force was influenced by recruitment threshold, such that firing rates decreased for lower‐threshold motor units but increased for higher‐threshold motor units. In addition, individuals with greater changes in firing rates possessed greater twitch force potentiation.

2012 - Neural Systems & Circuits

A novel, jitter-based method for detecting and measuring spike synchrony and quantifying temporal firing precision

BackgroundPrecise spike synchrony, at the millisecond or even sub-millisecond time scale, has been reported in different brain areas, but its neurobiological meaning and its underlying mechanisms remain unknown or controversial. Studying these questions is complicated by the lack of a validated, well-normalized and robust index for quantifying synchrony. Previously used measures of synchrony are often improperly normalized and thereby are not comparable between different experimental conditions, are sensitive to variations in firing rate or to the firing rate differential between the two neurons, and/or rely on untenable assumptions of firing rate stationarity and Poisson statistics. I describe here a novel measure, the Jitter-Based Synchrony Index (JBSI), that overcomes these issues.Results and discussionThe JBSI method is based on the introduction of virtual spike jitter. While previous implementations of the jitter method used it only to detect synchrony, the JBSI method also quantifies synchrony. Previous implementations of the jitter method used computationally intensive Monte Carlo simulations to generate surrogate spike trains, whereas the JBSI is computed analytically. The JBSI method does not assume any specific firing model, and does not require that the spike trains be locked to a repeating external stimulus. The JBSI can assume values from 1 (maximal possible synchrony) to −1 (minimal possible synchrony) and is therefore properly normalized. Using simulated Poisson spike trains with introduced controlled spike coincidences, I demonstrate that the JBSI is a linear measure of the spike coincidence rate, is independent of the mean firing frequency or the firing frequency differential between the two neurons, and is not sensitive to co-modulations in the firing rates of the two neurons. In contrast, several commonly used synchrony indices fail under one or more of these scenarios. I also demonstrate how the JBSI can be used to estimate the spike timing precision in the system.ConclusionsThe JBSI is a conceptually simple and computationally efficient method that can be used to compute the statistical significance of firing synchrony, to quantify synchrony as a well-normalized index, and to estimate the degree of temporal precision in the system.

2001 - Experimental Brain Research

A re-examination of the possibility of controlling the firing rate gain of neurons by balancing excitatory and inhibitory conductances

It has been suggested that balancing excitatory and inhibitory conductance levels can control the firing rate gain of single neurons, defined as the slope of the relation between discharge frequency and excitatory conductance. According to this view the increase in firing rate produced by an input pathway can be controlled independently of the ongoing firing rate by adjusting the mixture of excitatory and inhibitory conductances produced by other pathways converging onto the neuron. These conclusions were derived from a simple RC-neuron model with no active conductances, or firing threshold mechanism. The analysis of that model considered only the subthreshold behaviour and did not consider the relation between total trans-membrane conductance and firing rate. Similar conclusions were also derived from a simple parallel conductance based model. In this paper I consider, as an example of a repetitively firing neuron, a generic model of cat lumbar α-motoneurons with excitatory and inhibitory inputs and a second independent excitatory pathway. The excitatory and inhibitory inputs can be thought of as central descending controls while the second excitatory pathway may represent, for example, the monosynaptic Ia-afferent pathway. I have re-examined the possibility that the firing rate gain of the ‘afferent’ pathway can be controlled independently of the ongoing firing rate by balancing the excitatory and inhibitory conductances activated by the descending inputs. The steady state firing rate of the model motoneuron increased nearly linearly with the excitatory current, as it does in real motoneurons (primary firing range). The model motoneuron also showed a secondary firing range, whose slope was steeper than in primary range. The firing rate gain was measured by increasing the conductance of the ‘afferent’ pathway. The firing rate gain (in the primary and secondary firing range) of the ‘afferent’ pathway was found to be the same regardless of the particular mixture of excitatory and inhibitory conductances acting to produce the ongoing firing rate. This result was obtained for a single-compartment model, as well as for a two-compartment model consisting of an active somatic compartment and a dendritic compartment containing an L-type calcium conductance. Put simply, the firing rate gain of an input to a neuron cannot be controlled by balancing excitatory and inhibitory conductances produced by other independent input pathways, or by the spatial distribution of excitation and inhibition across the neuron. Three potential ways of controlling the firing rate gain are presented in the ‘Discussion’. Firing rate gain can be controlled by actions at the presynaptic terminal, by inhibitory feedback, which is a function of the neuron’s firing rate, or by neuromodulator substances that affect intrinsic inward or outward currents.

2009 - Neuroscience Letters

Circadian control of neural excitability in an animal model of temporal lobe epilepsy

We provide experimental evidence for the emerging imbalance in the firing activity of two distinct classes (type 1 and type 2) of population spikes recorded from the hippocampal area CA1 in an animal model of temporal lobe epilepsy. We show that during the latent period of epileptogenesis following status epilepticus inducing brain injury, there is a sustained increase in the firing rate of type 1 population spikes (PS1) with a concurrent decrease in the firing rate of type 2 population spikes (PS2). Both PS1 and PS2 firing rates are observed to follow a circadian rhythm and are in-phase in control rats. Following brain injury there is an abrupt phase shift in the circadian activity of the PS firing rates. We hypothesize that this abrupt phase shift is the underlying cause for the emergence of imbalance in the firing activity of the two PS. We test our hypothesis in the framework of a simple two-dimensional Wilson-Cowan model that describes the interaction between firing activities of populations of excitatory and inhibitory neurons.

1999 - Neuroscience

Dopamine agonist-mediated rotation in rats with unilateral nigrostriatal lesions is not dependent on net inhibitions of rate in basal ganglia output nuclei

Current models of basal ganglia function predict that dopamine agonist-induced motor activation is mediated by decreases in basal ganglia output. This study examines the relationship between dopamine agonist effects on firing rate in basal ganglia output nuclei and rotational behavior in rats with nigrostriatal lesions. Extracellular single-unit activity ipsilateral to the lesion was recorded in awake, locally-anesthetized rats. Separate rats were used for behavioral experiments. Low i.v. doses of D1 agonists (SKF 38393, SKF 81297, SKF 82958) were effective in producing rotation, yet did not change average firing rate in the substantia nigra pars reticulata or entopeduncular nucleus. At these doses, firing rate effects differed from neuron to neuron, and included increases, decreases, and no change. Higher i.v. doses of D1 agonists were effective in causing both rotation and a net decrease in rate of substantia nigra pars reticulata neurons. A low s.c. dose of the D1/D2 agonist apomorphine (0.05 mg/kg) produced both rotation and a robust average decrease in firing rate in the substantia nigra pars reticulata, yet the onset of the net firing rate decrease (at 13-16 min) was greatly delayed compared to the onset of rotation (at 3 min). Immunostaining for the immediate-early gene Fos indicated that a low i.v. dose of SKF 38393 (that produced rotation but not a net decrease in firing rate in basal ganglia output nuclei) induced Fos-like immunoreactivity in the striatum and subthalamic nucleus, suggesting an activation of both inhibitory and excitatory afferents to the substantia nigra and entopeduncular nucleus. In addition, D1 agonist-induced Fos expression in the striatum and subthalamic nucleus was equivalent in freely-moving and awake, locally-anesthetized rats. The results show that decreases in firing rate in basal ganglia output nuclei are not necessary for dopamine agonist-induced motor activation. Motor-activating actions of dopamine agonists may be mediated by firing rate decreases in a small subpopulation of output nucleus neurons, or may be mediated by other features of firing activity besides rate in these nuclei such as oscillatory firing pattern or interneuronal firing synchrony. Also, the results suggest that dopamine receptors in both the striatum and at extrastriatal sites (especially the subthalamic nucleus) are likely to be involved in dopamine agonist influences on firing rates in the substantia nigra pars reticulata and entopeduncular nucleus.

2022 - Journal of theoretical biology

Author's Accepted Manuscript

Integrate and fire (IF) neurons have found widespread applications in computational neuroscience. Particularly important are stochastic versions of these models where the driving consists of a synaptic input modeled as white Gaussian noise with mean mu and noise intensity D. Different IF models have been proposed, the firing statistics of which depends nontrivially on the input parameters mu and D. In order to compare these models among each other, one must first specify the correspondence between their parameters. This can be done by determining which set of parameters (mu,D) of each model is associated with a given set of basic firing statistics as, for instance, the firing rate and the coefficient of variation (CV) of the interspike interval (ISI). However, it is not clear a priori whether for a given firing rate and CV there is only one unique choice of input parameters for each model. Here we review the dependence of rate and CV on input parameters for the perfect, leaky, and quadratic IF neuron models and show analytically that indeed in these three models the firing rate and the CV uniquely determine the input parameters.

1998 - Chaos

Detection of weak electric fields by sharks, rays, and skates.

The elasmobranchs-sharks, rays, and skates-can detect very weak electric fields in their aqueous environment through a complex sensory system, the ampullae of Lorenzini. The ampullae are conducting tubes that connect the surface of the animal to its interior. In the presence of an electric field, the potential of the surface of the animal will differ from that of the interior and that potential is applied across the apical membrane of the special sensory cells that line the ampullae. The firing rate of the afferent neurons that transmit signals from the ampullae has been shown to vary with that potential. We show that those firing rates can be described quantitatively in terms of synchronous firing of the sensory cells that feed the neurons. We demonstrate that such synchronism follows naturally from a hypothetical weak cell-to-cell interaction that results in a self-organization of the sensory cells. Moreover, the pulse rates of those cells-and the neurons that service the cells-can be expected to vary with the imposed electric fields in accord with measured values through actions of voltage gated transmembrane proteins in the apical sector of the cell membranes that admit Ca(++) ions. We also present a more conjectural model of signal processing at the neuron level that could exploit small differences in firing rates of nerve fibers servicing different ampullae to send an unambiguous signal to the central nervous system of the animal. (c) 1998 American Institute of Physics.

1988 - Electroencephalography and clinical neurophysiology

The motor unit firing rate and the power spectrum of EMG in humans.

The EMG power spectrum is influenced by many factors such as the conduction velocity of the muscle fiber, the action potential of the motor unit, the number of motor units firing near the electrode, and the recording conditions. Model studies of the relation between motor unit firing rate and power spectrum of EMG have produced conflicting results. To examine this relation in vivo the brachial biceps muscle was examined in 14 controls at a force of 10% of maximum. The motor unit firing intervals were obtained from 164 motor units, sampled with a single fiber electrode. The EMG was sampled at 10 sites in each muscle with a concentric electrode and the power spectrum was obtained using fast Fourier transformation. The mean power frequency of the interference pattern as well as the relative power at 1400 Hz both decreased with increasing motor unit firing intervals between subjects. The study thus indicates that the amount of high frequencies in the power spectrum is greater in a subject with a high firing rate of the motor units than in a subject with a low firing rate.

1994 - Neural Computation

The Effect of Synchronized Inputs at the Single Neuron Level

It is commonly assumed that temporal synchronization of excitatory synaptic inputs onto a single neuron increases its firing rate. We investigate here the role of synaptic synchronization for the leaky integrate-and-fire neuron as well as for a biophysically and anatomically detailed compartmental model of a cortical pyramidal cell. We find that if the number of excitatory inputs, N, is on the same order as the number of fully synchronized inputs necessary to trigger a single action potential, Nt, synchronization always increases the firing rate (for both constant and Poisson-distributed input). However, for large values of N compared to Nt, overcrowding occurs and temporal synchronization is detrimental to firing frequency. This behavior is caused by the conflicting influence of the low-pass nature of the passive dendritic membrane on the one hand and the refractory period on the other. If both temporal synchronization as well as the fraction of synchronized inputs (Murthy and Fetz 1993) is varied, synchronization is only advantageous if either N or the average input frequency, fin, are small enough.

1998 - Journal of neurophysiology

Hand dominance and motor unit firing behavior.

Daily preferential use was shown to alter physiological and mechanical properties of skeletal muscle. This study was aimed at revealing differences in the control strategy of muscle pairs in humans who show a clear preference for one hand. We compared the motor unit (MU) recruitment and firing behavior in the first dorsal interosseous (FDI) muscle of both hands in eight male volunteers whose hand preference was evaluated with the use of a standard questionnaire. Myoelectric signals were recorded while subjects isometrically abducted the index finger at 30% of the maximal voluntary contraction (MVC) force. A myoelectric signal decomposition technique was used to accurately identify MU firing times from the myoelectric signal. In MUs of the dominant hand, mean values for recruitment threshold, initial firing rate, average firing rate at target force, and discharge variability were lower when compared with the nondominant hand. Analysis of the cross-correlation between mean firing rate and muscle force revealed cross-correlation peaks of longer latency in the dominant hand than in the nondominant side. This lag of the force output with respect to fluctuations in the firing behavior of MUs is indicative of a greater mechanical delay in the dominant FDI muscle. MVC force was not significantly different across muscle pairs, but the variability of force at the submaximal target level was higher in the nondominant side. The presence of lower average firing rates, lower recruitment thresholds, and greater firing rate/force delay in the dominant hand is consistent with the notion of an increased percentage of slow twitch fibers in the preferentially used muscle, allowing twitch fusion and force buildup to occur at lower firing rates. It is suggested that a lifetime of preferred use may cause adaptations in the fiber composition of the dominant muscle such that the mechanical effectiveness of its MUs increased.

1980 - Brain Research

Iontophoretically applied dopamine depolarizes and hyperpolarizes the membrane of cat caudate neurons

Dopamine (DA) was applied iontophoretically on intracellularly recorded cat caudate neurons. Ejected approximately 100 micrometers away from the cell soma, it caused slow depolarizations of the membrane while the ongoing firing rate was reduced. This last effect was not due to sodium inactivation. Cortically evoked EPSP-IPSP sequences were inhibited during the depolarizations. The latency of cortically evoked action potentials was consistently increased during DA-ejections. These effects were blocked by fluphenazine, relatively selective blocker of the DA-sensitive adenylate cyclase. Nevertheless, there are serious doubts as to the specificity of these actions of DA as a number of other substances like naloxone, nicotine, acetylcholine or glutamate-diethylester occasionally had very similar effects on membrane potential, firing rate and cortically evoked EPSP-IPSP sequences. If DA was applied nearer to the soma, approximately 50 micrometers away, 70% of the recorded neurons continued to display the slow depolarizations above described, while 30% of the cells now reacted by a hyperpolarization accompanied also by a reduced firing rate. If DA was applied for prolonged periods on such cells, the initial hyperpolarization was followed by the slow depolarization. The observation that during the slow depolarization there is a decrease in firing rate and amplitude of the cortically evoked IPSP is explained by the assumption that the region of the axon hillock is hyperpolarized by DA, and that the slow depolarization is a phenomenon restricted to the distant recording site and possibly to the dendritic region. None of the 74 responsive neurons displayed an increased firing fate when DA was ejected either continuously, i.e. for more than 5 sec, or in short pulses of 50--500 msec.

2010 - Journal of neurophysiology

Relationship between firing rate and recruitment threshold of motoneurons in voluntary isometric contractions.

We used surface EMG signal decomposition technology to study the control properties of numerous simultaneously active motor units. Six healthy human subjects of comparable age (21 +/- 0.63 yr) and physical fitness were recruited to perform isometric contractions of the vastus lateralis (VL), first dorsal interosseous (FDI), and tibialis anterior (TA) muscles at the 20, 50, 80, and 100% maximum voluntary contraction force levels. EMG signals were collected with a five-pin surface array sensor that provided four channels of data. They were decomposed into the constituent action potentials with a new decomposition algorithm. The firings of a total of 1,273 motor unit action potential trains, 20-30 per contraction, were obtained. The recruitment thresholds and mean firing rates of the motor units were calculated, and mathematical equations were derived. The results describe a hierarchical inverse relationship between the recruitment thresholds and the firing rates, including the first and second derivatives, i.e., the velocity and the acceleration of the firing rates. This relationship describes an "operating point" for the motoneuron pool that remains consistent at all force levels and is modulated by the excitation. This relationship differs only slightly between subjects and more distinctly across muscles. These results support the "onion skin" property that suggests a basic control scheme encoded in the physical properties of motoneurons that responds consistently to a "common drive" to the motoneuron pool.

1977 - The Journal of Physiology

Firing rate and recruitment order of toe extensor motor units in different modes of voluntary conraction.

1. The discharge properties of individual motor units in different modes of voluntary contraction were studied with electromyographic techniques in the short toe extensor muscle of normal man. 2. The short toe extensor muscle consisted of type I and type II muscle fibres in about equal proportion. In some subjects there was type‐grouping so that recordings with sufficient selectivity could easily be obtained. 3. Certain motor units could be driven continuously, attained regular firing intervals even at a firing rate of 10/sec, increased slowly in firing rate with increase in contraction strength, had maximum firing rate below 30/sec during sustained contraction but above 60/sec in twitch contraction. 4. Other motor units could not be dirven continuously, did not fire repeatedly at rates below 20/sec, increased rapidly in firing rate with increase in contraction strength and attained firing rates above 100/sec. 5. There were intermediate forms between continuously firing low frequency motor units and intermittently firing high frequency motor units. 6. In a prolonged contraction of constant strength only continuously firing motor units were active. 7. On rapid accelerations, however, both continuously and intermittently firing motor units were active and played about the same role. 8. This applied also to prolonged series of accelerations as in rhythmically alternating movements. 9. In twitch contractions selective activation of intermittently firing motor units occurred if the muscle was relaxed prior to the twitch and great effort was used to elicit the twitch and minimum duration of the twitch was intended. 10. It is suggested that continuously firing low frequency motor units have type I muscle fibres and intermittently firing high frequency units have type II muscle fibres and that the order of recruitment and the relative roles of the two motor unit types are adapted to the mode of contraction.

1996 - Journal of neurophysiology

Contribution of GABA- and glycine-mediated inhibition to the monaural temporal response properties of neurons in the inferior colliculus.

1. To determine the contribution of inhibition to the generation of the temporal response patterns of neurons in the inferior colliculus (IC), the effects of iontophoretically applied gamma-aminobutyric acid (GABA), glycine, and the GABAA and glycine receptor antagonists, bicuculline and strychnine were studied on 121 neurons in the IC of urethan-anesthetised guinea pig. 2. The neurons temporal discharge patterns were classified into six categories on the basis of their peristimulus time histograms (PSTHs). 1) Onset units fired at the stimulus onset and could be divided into two subtypes: narrow (1-2 spikes only) or broad (response lasting up to approximately 30 ms). 2) Pauser units had a precisely timed onset peak separated from a lower level of sustained activity by either a marked reduction or complete cessation of firing. 3) Chopper units had three or more clearly defined peaks near stimulus onset or evidence of regularly spaced peaks over the duration of the stimulus. 4) Onset-chopper units had three clearly defined peaks at onset but no sustained firing. 5) On-sustained units had a clearly defined single onset peak followed by a lower level of sustained activity. 6) Sustained units fired throughout the stimulus, but lacked an onset peak. 3. Iontophoretic application of GABA and glycine produced a dose-dependent reduction in firing rate in 76% (42/55) and 79% (11/14) of units, respectively. Application of bicuculline or strychnine increased the discharge rate in 91% (64/70) and 94% (16/17) of neurons, respectively. 4. The effects of bicuculline and strychnine on PSTH class were studied in detail on 70 neurons. Changes in discharge rate were accompanied by changes in PSTH in 49% (34/70) of neurons tested with bicuculline and 41% (7/17) tested with strychnine. Pauser units were the most affected with 69% changing their PSTH class, but some units in all PSTH classes, except the chopper group, exhibited changes in PSTH pattern after application of bicuculline. The majority of units (approximately 50%) that changed PSTH pattern in the presence of bicuculline became chopper units. Units of all PSTH classes could become choppers, but the proportion of units showing this change was dependent on the unit's control response pattern. All seven units that changed PSTH class with strychnine also became choppers. Changes in PSTH, including the appearance of a chopper pattern, did not depend on either a unit's control discharge rate or the magnitude of the change in discharge rate induced by the antagonists. 5. Bicuculline and strychnine had no significant effect on latency for units in the chopper, onset-chopper, onset, pauser, and on-sustained groups. A few sustained and unclassified units that had long predrug latencies did show marked reductions in latency when tested with bicuculline. 6. The majority of units did not fire spontaneously, and neither bicuculline or strychnine produced a significant increase in spontaneous rate. 7. In many units, the changes in firing rate did not occur equally over the duration of the response. Firing rates at the onset and in the last quarter of the sustained response were compared. Three effects of bicuculline and strychnine were observed. For 80% of units the largest change in firing rate occurred in the sustained response, while in 14% of units the change was greatest at onset.

1984 - Brain Research

Firing pattern of neurons in the nucleus tractus solitarius: modulation by membrane hyperpolarization

Neurons in the ventral region of the nucleus tractus solitarius (NTS) of guinea pigs were studied using an in vitro brainstem slice preparation. One group of neurons was characterized electrophysiologically by a delay between the onset of a depolarizing stimulus and the first spike. This delay could be as large as 760 ms and was modulated by the membrane potential level preceding the stimulus. The firing rate during the depolarizing stimulus was also modulated by the preceding membrane potential level. A fast transient outward current, similar to A-current in molluscan neurons, appeared to be responsible for the delay in firing while a slower calcium-activated potassium current affected the firing rate. These data suggest that intrinsic membrane properties may play an important role in determining the firing pattern of NTS neurons. In vivo, inhibitory synaptic inputs could modulate the expression of these intrinsic properties during subsequent excitation.

2013 - Cognitive Neurodynamics

Dynamic behavior analysis of fractional-order Hindmarsh–Rose neuronal model

Previous experimental work has shown that the firing rate of multiple time-scales of adaptation for single rat neocortical pyramidal neurons is consistent with fractional-order differentiation, and the fractional-order neuronal models depict the firing rate of neurons more verifiably than other models do. For this reason, the dynamic characteristics of the fractional-order Hindmarsh–Rose (HR) neuronal model were here investigated. The results showed several obvious differences in dynamic characteristic between the fractional-order HR neuronal model and an integer-ordered model. First, the fractional-order HR neuronal model displayed different firing modes (chaotic firing and periodic firing) as the fractional order changed when other parameters remained the same as in the integer-order model. However, only one firing mode is displayed in integer-order models with the same parameters. The fractional order is the key to determining the firing mode. Second, the Hopf bifurcation point of this fractional-order model, from the resting state to periodic firing, was found to be larger than that of the integer-order model. Third, for the state of periodically firing of fractional-order and integer-order HR neuron model, the firing frequency of the fractional-order neuronal model was greater than that of the integer-order model, and when the fractional order of the model decreased, the firing frequency increased.

2003 - Biological Cybernetics

Spike synchronization and firing rate in a population of motor cortical neurons in relation to movement direction and reaction time

Abstract. We studied the dynamics of precise spike synchronization and rate modulation in a population of neurons recorded in monkey motor cortex during performance of a delayed multidirectional pointing task and determined their relation to behavior. We showed that at the population level neurons coherently synchronized their activity at various moments during the trial in relation to relevant task events. The comparison of the time course of the modulation of synchronous activity with that of the firing rate of the same neurons revealed a considerable difference. Indeed, when synchronous activity was highest, at the end of the preparatory period, firing rate was low, and, conversely, when the firing rate was highest, at movement onset, synchronous activity was almost absent. There was a clear tendency for synchrony to precede firing rate, suggesting that the coherent activation of cell assemblies may trigger the increase in firing rate in large groups of neurons, although it appeared that there was no simple parallel shifting in time of these two activity measures. Interestingly, there was a systematic relationship between the amount of significant synchronous activity within the population of neurons and movement direction at the end of the preparatory period. Furthermore, about 400 ms later, at movement onset, the mean firing rate of the same population was also significantly tuned to movement direction, having roughly the same preferred direction as synchronous activity. Finally, reaction time measurements revealed a directional preference of the monkey with, once again, the same preferred direction as synchronous activity and firing rate. These results lead us to speculate that synchronous activity and firing rate are cooperative neuronal processes and that the directional matching of our three measures – firing rate, synchronicity, and reaction times – might be an effect of behaviorally induced network cooperativity acquired during learning.

2003 - Cerebral cortex

In vivo modulation of the activity of pyramidal neurons in the rat medial prefrontal cortex by 5-HT2A receptors: relationship to thalamocortical afferents.

The activation of 5-HT(2A) receptors in medial prefrontal cortex (mPFC) by the hallucinogen DOI increases the firing activity of dorsal raphe (DR) 5-HT neurons and prefrontal 5-HT release. Here we show that the i.v. administration of DOI markedly affected the firing rate of identified pyramidal neurons recorded extracellularly. DOI excited (481%) 21/56 neurons, inhibited (11%) 17/56 neurons and left the rest unaffected (overall 2.4-fold increase in firing rate). Both effects were antagonized by 5-HT(2A) receptor blockade. 5-HT(2A)-mediated orthodromic excitations were recorded in pyramidal neurons projecting to DR after electrical stimulation of this nucleus. We also examined whether the effects of DOI in mPFC involve thalamic excitatory inputs. The disinhibition of the mediodorsal and centromedial nuclei of the thalamus by local bicuculline resembled the effects of DOI as it increased pyramidal cell firing and 5-HT release in mPFC. However, the selective activation of prefrontal micro -opioid and mGlu II receptors counteracted the effects of the thalamic disinhibition but not those of DOI. Moreover, extensive thalamic lesions did not alter the effect of DOI on pyramidal cell firing and 5-HT release. We conclude that DOI increases the activity of the mPFC-DR circuit by an action on postsynaptic 5-HT(2A) receptors unrelated to thalamocortical afferents.

2015 - Neuron

Locomotion, Theta Oscillations, and the Speed-Correlated Firing of Hippocampal Neurons Are Controlled by a Medial Septal Glutamatergic Circuit

Before the onset of locomotion, the hippocampus undergoes a transition into an activity-state specialized for the processing of spatially related input. This brain-state transition is associated with increased firing rates of CA1 pyramidal neurons and the occurrence of theta oscillations, which both correlate with locomotion velocity. However, the neural circuit by which locomotor activity is linked to hippocampal oscillations and neuronal firing rates is unresolved. Here we reveal a septo-hippocampal circuit mediated by glutamatergic (VGluT2(+)) neurons that is activated before locomotion onset and that controls the initiation and velocity of locomotion as well as the entrainment of theta oscillations. Moreover, via septo-hippocampal projections onto alveus/oriens interneurons, this circuit regulates feedforward inhibition of Schaffer collateral and perforant path input to CA1 pyramidal neurons in a locomotion-dependent manner. With higher locomotion speed, the increased activity of medial septal VGluT2 neurons is translated into increased axo-somatic depolarization and higher firing rates of CA1 pyramidal neurons. VIDEO ABSTRACT.

Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates

Spike statistics and coding properties of phase models

Interneuron subtypes and orientation tuning

Discharges Network Oscillations With Irregular Neuronal Contributions of Intrinsic Membrane Dynamics to

Cellular / Molecular Neuronal Morphology Generates High-Frequency Firing Resonance

A stochastic mean field model for an excitatory and inhibitory synaptic drive cortical neuronal network

A stochastic mean field model for an excitatory and inhibitory synaptic drive cortical neuronal network

Supervised learning in spiking neural networks with noise-threshold

GPUs Outperform Current HPC and Neuromorphic Solutions in Terms of Speed and Energy When Simulating a Highly-Connected Cortical Model

Codes and Goals of Neuronal Representations

What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance.

Coding properties of spiking neurons: reverse and cross-correlations

How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes?

Stochastic resonance in Hodgkin-Huxley neuron induced by unreliable synaptic transmission.

Spatiotemporal dynamics of continuum neural fields

A DISTRIBUTION OF SPIKE TRANSMISSION DELAYS AFFECTS THE STABILITY OF INTERACTING SPIKING NEURONS

Delayed feedback control of collective synchrony: an approach to suppression of pathological brain rhythms.

Synchrony in stochastically driven neuronal networks with complex topologies.

Impact of intrinsic biophysical diversity on the activity of spiking neurons

Role of delays in shaping spatiotemporal dynamics of neuronal activity in large networks.

STDP-driven networks and the C. elegans neuronal network