The balance between excitation and inhibition is critical in the physiology of the cerebral cortex. To understand the influence of inhibitory control on the emergent activity of the cortical network, inhibition was progressively blocked in a slice preparation that generates spontaneous rhythmic up states at a similar frequency to those occurring in vivo during slow-wave sleep or anesthesia. Progressive removal of inhibition induced a parametric shortening of up state duration and elongation of the down states, the frequency of oscillations decaying. Concurrently, a gradual increase in the network firing rate during up states occurred. The slope of transitions between up and down states was quantified for different levels of inhibition. The slope of upward transitions reflects the recruitment of the local network and was progressively increased when inhibition was decreased, whereas the speed of activity propagation became faster. Removal of inhibition eventually resulted in epileptiform activity. Whereas gradual reduction of inhibition induced linear changes in up/down states and their propagation, epileptiform activity was the result of a nonlinear transformation. A computational network model showed that strong recurrence plus activity-dependent hyperpolarizing currents were sufficient to account for the observed up state modulations and predicted an increase in activity-dependent hyperpolarization following up states when inhibition was decreased, which was confirmed experimentally.

High-frequency oscillations in cortical networks have been linked to a variety of cognitive and perceptual processes. They have also been recorded in small cortical slices in vitro, indicating that neuronal synchronization at these frequencies is generated in the local cortical circuit. However, in vitro experiments have hitherto necessitated exogenous pharmacological or electrical stimulation to generate robust synchronized activity in the ␤/␥ range. Here, we demonstrate that the isolated cortical microcircuitry generates ␤ and ␥ oscillations spontaneously in the absence of externally applied neuromodulators or synaptic agonists. We show this in a spontaneously active slice preparation that engages in slow oscillatory activity similar to activity during slow-wave sleep. ␤ and ␥ synchronization appeared during the up states of the slow oscillation. Simultaneous intracellular and extracellular recordings revealed synchronization between the timing of incoming synaptic events and population activity. This rhythm was mechanistically similar to pharmacologically induced ␥ rhythms, as it also included sparse, irregular firing of neurons within the population oscillation, predominant involvement of inhibitory neurons, and a decrease of oscillation frequency after barbiturate application. Finally, we show in a computer model how a synaptic loop between excitatory and inhibitory neurons can explain the emergence of both the slow (Ͻ1 Hz) and the ␤-range oscillations in the neocortical network. We therefore conclude that oscillations in the ␤/␥ range that share mechanisms with activity reported in vivo or in pharmacologically activated in vitro preparations can be generated during slow oscillatory activity in the local cortical circuit, even without exogenous pharmacological or electrical stimulation.

Fast-spiking (FS) neurons are a class of inhibitory interneurons classically characterized as having short-duration action potentials (<0.5 ms at half height) and displaying little to no spike-frequency adaptation during short (<500 ms) depolarizing current pulses. As a consequence, the resulting injected current intensity versus firing frequency relationship is typically steep, and they can achieve firing frequencies of < or =1 kHz. Here we have investigated the properties of FS neurons discharges on a longer time scale. Twenty second discharges were induced in electrophysiologically identified FS neurons by means of current injection either with sinusoidal current or with square pulses. We found that virtually all FS neurons recorded in cortical slices do show spike-frequency adaptation but with a slow time course (tau = 2-19 s). This slow time course has precluded the observation of this property in previous studies that used shorter pulses. Contrary to the classical view of FS neurons functional properties, long-duration discharges were followed by a slow afterhyperpolarization lasting < or =23 s. During this postadaptation period, the excitability of the neurons was decreased on average for 16.7 +/- 6.8 s, therefore rendering the cell less responsive to subsequent afferent inputs. Slow adaptation is also reported here for FS neurons recorded in vivo. This longer time scale of adaptation in FS neurons may be critical for balancing excitation and inhibition as well as for the understanding of cortical network computations.

Slow spontaneous rhythmic activity is generated and propagates in neocortical slices when bathed in an artificial cerebrospinal fluid with ionic concentrations similar to the ones in vivo. This activity is extraordinarily similar to the activation of the cortex in physiological conditions (e.g., slow-wave sleep), thus representing a unique in vitro model to understand how cortical networks maintain and control ongoing activity. Here we have characterized the activity generated in the olfactory or piriform cortex and endopiriform nucleus (piriform network). Because these structures are prone to generate epileptic discharges, it seems critical to understand how they generate and regulate their physiological rhythmic activity. The piriform network gave rise to rhythmic spontaneous activity consisting of a succession of up and down states at an average frequency of 1.8 Hz, qualitatively similar to the corresponding neocortical activity. This activity originated in the deep layers of the piriform network, which displayed higher excitability and denser connectivity. A remarkable difference with neocortical activity was the speed of horizontal propagation (114 mm/s), one order of magnitude faster in the piriform network. Properties of the piriform cortex subserving fast horizontal propagation may underlie the higher vulnerability of this area to epileptic seizures.

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