Anatomical and functional differentiation of glutamatergic synaptic innervation in the neocortex

Differential regulation at functionally divergent release sites along a common axon

Information transfer within neuronal networks requires the precise coordination of distinct neuronal populations within a given circuit. Evidence from a variety of central pathways indicates that such coordination is mediated in part by the ability of neurons to differentially regulate release properties at functionally divergent presynaptic elements along their individual axons according to the identity of the postsynaptic cell being innervated. Recent findings have revealed the cellular mechanisms by which central afferents modify release properties at individual presynaptic sites independent of neighboring terminals. Such autonomy of presynaptic regulation enables target-cell-dependent short-term and long-term synaptic plasticity and ensures that distinct features of afferent activity are relayed to divergent target-cell populations.

The morphology of excitatory central synapses: from structure to function

Synapses are the key elements for signal transduction and plasticity in the brain. For a better understanding of the functional signal cascades underlying synaptic transmission, a quantitative morphological analysis of the pre- and postsynaptic structures that represent morphological correlates for synaptic transmission is important. In particular, realistic values of the number, distribution, and geometry of synaptic contacts and the organization of the pool of synaptic vesicles provide important constraints for realistic models and numerical simulations of those parameters of synaptic transmission that, at present, are still not accessible to experiment. Although all synapses are composed of almost the same structural elements, the composition of these elements within a given synapse and the microcircuit in which they are embedded are the deciding factors determining its function. One possible way to analyze these structures is by computer-assisted three-dimensional reconstructions of synapses and their subsequent quantitative analysis based on ultrathin serial sections. The present review summarizes and discusses the morphology of five central excitatory synapses that are quantitatively well described: (1) a giant synapse, the so-called Calyx of Held, in the medial nucleus of the trapezoid body in the auditory brain stem, (2) the mossy fiber terminal establishing synapses with multiple cerebellar granule cell dendrites, (3) the mossy fiber bouton in the hippocampus predominantly terminating on proximal dendrites of CA3 pyramidal neurons, (4) the climbing fiber-Purkinje cell synapse in the cerebellum, and (5) cortical input synapses on the basal dendrites of layer 5 pyramidal cells. The detailed morphological description of these synaptic structures may help to define the morphological correlates of the functional parameters of synaptic transmission, such as the readily releasable pool of synaptic vesicles, of release, and of the variability of quantal size and might therefore explain the existing differences in the function between individual synapses embedded in different microcircuits.

Adenosine A1 receptors decrease thalamic excitation of inhibitory and excitatory neurons in the barrel cortex

Caffeine is consumed worldwide to enhance wakefulness, but the cellular mechanisms are poorly understood. Caffeine blocks adenosine receptors suggesting that adenosine decreases cortical arousal. Given the widespread innervation of the cerebral cortex by thalamic fibers, adenosine receptors on thalamocortical terminals could provide an efficient method of limiting thalamic activation of the cortex. Using a mouse thalamocortical slice preparation and whole-cell patch clamp recordings, we examined whether thalamocortical terminals are modulated by adenosine receptors. Bath application of adenosine decreased excitatory postsynaptic currents elicited by stimulation of the ventrobasal thalamus. Thalamocortical synapses onto inhibitory and excitatory neurons were equally affected by adenosine. Adenosine also increased the paired pulse ratio and the coefficient of variation of the excitatory postsynaptic currents, suggesting that adenosine decreased glutamate release. The inhibition produced by adenosine was reversed by a selective antagonist of adenosine A1 receptors (8-cyclopentyltheophylline) and mimicked by a selective A1 receptor agonist (N6-cyclopentyladenosine). Our results indicate that thalamocortical excitation is regulated by presynaptic adenosine A1 receptors and provide a mechanism by which increased adenosine levels can directly reduce cortical excitability.

The neocortical microcircuit as a tabula rasa

The neocortex has a high capacity for plasticity. To understand the full scope of this capacity, it is essential to know how neurons choose particular partners to form synaptic connections. By using multineuron whole-cell recordings and confocal microscopy we found that axons of layer V neocortical pyramidal neurons do not preferentially project toward the dendrites of particular neighboring pyramidal neurons; instead, axons promiscuously touch all neighboring dendrites without any bias. Functional synaptic coupling of a small fraction of these neurons is, however, correlated with the existence of synaptic boutons at existing touch sites. These data provide the first direct experimental evidence for a tabula rasa-like structural matrix between neocortical pyramidal neurons and suggests that pre- and postsynaptic interactions shape the conversion between touches and synapses to form specific functional microcircuits. These data also indicate that the local neocortical microcircuit has the potential to be differently rewired without the need for remodeling axonal or dendritic arbors.

Interneurons of the neocortical inhibitory system

Mammals adapt to a rapidly changing world because of the sophisticated cognitive functions that are supported by the neocortex. The neocortex, which forms almost 80% of the human brain, seems to have arisen from repeated duplication of a stereotypical microcircuit template with subtle specializations for different brain regions and species. The quest to unravel the blueprint of this template started more than a century ago and has revealed an immensely intricate design. The largest obstacle is the daunting variety of inhibitory interneurons that are found in the circuit. This review focuses on the organizing principles that govern the diversity of inhibitory interneurons and their circuits.

Differential depression of inhibitory synaptic responses in feedforward and feedback circuits between different areas of mouse visual cortex

Recordings of synaptic responses of pyramidal neurons to feedback (FB) inputs from higher to lower areas of visual cortex show that excitatory synaptic responses are only weakly opposed by disynaptic inhibition. Whether weak inhibition is preserved at high frequencies remains unknown. Whole-cell recordings were performed in pyramidal cells of mouse visual cortex to study the frequency dependence of excitatory and inhibitory postsynaptic currents (EPSCs, IPSCs) elicited by feedforward (FF) input from the primary visual cortex (V1) to the higher lateromedial area (LM) and by FB input from the LM to V1. EPSCs showed similar frequency dependencies in FF and FB pathways; the amplitudes decreased during stimulus trains, and the depression was larger at higher frequencies. IPSCs decreased during repetitive stimulation, and the depression increased at higher frequencies. At >20 Hz, the depression of IPSCs in the FB pathway was greater than in the FF pathway. Thus, unlike FF circuits, FB circuits provide balanced excitatory and inhibitory inputs across a wide range of frequencies. This property was shown to be critically important in cortical circuits that modulate the gain of pyramidal cell firing (Chance et al. [2002] Neuron 35:773-782).

Axons as computing devices: basic insights gained from models

Detailed models of single neurons are typically focused on the dendritic tree and ignore the axonal tree, assuming that the axon is a simple transmission line. In the last 40 years, however, several theoretical and experimental studies have suggested that axons could implement information processing tasks by exploiting: 1) the time delay in action potential (AP) propagation along the axon; 2) the differential filtering of APs into the axonal subtrees; and 3) their activity-dependent excitability. Models for axonal trees have attempted to examine the feasibility of these ideas. However, because the physiological and anatomical data on axons are seriously limited, realistic models of axons have not been developed. The present paper summarizes the main insights that were gained from simplified models of axons; it also highlights the stochastic nature of axons, a topic that was largely neglected in classical models of axons. The advance of new experimental techniques makes it now possible to pay a very close experimental visit to axons. Theoretical tools and fast computers enable to go beyond the simplified models and to construct realistic models of axons. When tightly linked, experiments and theory will help to unravel how axons share the information processing tasks that single neurons implement.