Developmental emergence of two-stage nonlinear synaptic integration in cerebellar interneurons.

Synaptic transmission, connectivity, and dendritic morphology mature in parallel during brain development and are often disrupted in neurodevelopmental disorders. Yet how these changes influence the neuronal computations necessary for normal brain function are not well understood. To identify cellular mechanisms underlying the maturation of synaptic integration in interneurons, we combined patch-clamp recordings of excitatory inputs in mouse cerebellar stellate cells (SCs), three-dimensional reconstruction of SC morphology with excitatory synapse location, and biophysical modeling. We found that postnatal maturation of postsynaptic strength was homogeneously reduced along the somatodendritic axis, but dendritic integration was always sublinear. However, dendritic branching increased without changes in synapse density, leading to a substantial gain in distal inputs. Thus, changes in synapse distribution, rather than dendrite cable properties, are the dominant mechanism underlying the maturation of neuronal computation. These mechanisms favor the emergence of a spatially compartmentalized two-stage integration model promoting location-dependent integration within dendritic subunits.

CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging.

In recent years, the development of algorithms to detect neuronal spiking activity from two-photon calcium imaging data has received much attention, yet few researchers have examined the metrics used to assess the similarity of detected spike trains with the ground truth. We highlight the limitations of the two most commonly used metrics, the spike train correlation and success rate, and propose an alternative, which we refer to as CosMIC. Rather than operating on the true and estimated spike trains directly, the proposed metric assesses the similarity of the pulse trains obtained from convolution of the spike trains with a smoothing pulse. The pulse width, which is derived from the statistics of the imaging data, reflects the temporal tolerance of the metric. The final metric score is the size of the commonalities of the pulse trains as a fraction of their average size. Viewed through the lens of set theory, CosMIC resembles a continuous Sørensen-Dice coefficient-an index commonly used to assess the similarity of discrete, presence/absence data. We demonstrate the ability of the proposed metric to discriminate the precision and recall of spike train estimates. Unlike the spike train correlation, which appears to reward overestimation, the proposed metric score is maximized when the correct number of spikes have been detected. Furthermore, we show that CosMIC is more sensitive to the temporal precision of estimates than the success rate.

ABLE: An Activity-Based Level Set Segmentation Algorithm for Two-Photon Calcium Imaging Data.

We present an algorithm for detecting the location of cells from two-photon calcium imaging data. In our framework, multiple coupled active contours evolve, guided by a model-based cost function, to identify cell boundaries. An active contour seeks to partition a local region into two subregions, a cell interior and exterior, in which all pixels have maximally "similar" time courses. This simple, local model allows contours to be evolved predominantly independently. When contours are sufficiently close, their evolution is coupled, in a manner that permits overlap. We illustrate the ability of the proposed method to demix overlapping cells on real data. The proposed framework is flexible, incorporating no prior information regarding a cell's morphology or stereotypical temporal activity, which enables the detection of cells with diverse properties. We demonstrate algorithm performance on a challenging mouse in vitro dataset, containing synchronously spiking cells, and a manually labelled mouse in vivo dataset, on which ABLE (the proposed method) achieves a 67.5% success rate.

Differential Regulation of Evoked and Spontaneous Release by Presynaptic NMDA Receptors.

Presynaptic NMDA receptors (preNMDARs) control synaptic release, but it is not well understood how. Rab3-interacting molecules (RIMs) provide scaffolding at presynaptic active zones and are involved in vesicle priming. Moreover, c-Jun N-terminal kinase (JNK) has been implicated in regulation of spontaneous release. We demonstrate that, at connected layer 5 pyramidal cell pairs of developing mouse visual cortex, Mg2+-sensitive preNMDAR signaling upregulates replenishment of the readily releasable vesicle pool during high-frequency firing. In conditional RIM1αß deletion mice, preNMDAR upregulation of vesicle replenishment was abolished, yet preNMDAR control of spontaneous release was unaffected. Conversely, JNK2 blockade prevented Mg2+-insensitive preNMDAR signaling from regulating spontaneous release, but preNMDAR control of evoked release remained intact. We thus discovered that preNMDARs signal differentially to control evoked and spontaneous release by independent and non-overlapping mechanisms. Our findings suggest that preNMDARs may sometimes signal metabotropically and support the emerging principle that evoked and spontaneous release are distinct processes. VIDEO ABSTRACT.

Differential Dendritic Integration of Synaptic Potentials and Calcium in Cerebellar Interneurons.

Dendritic voltage integration determines the transformation of synaptic inputs into output firing, while synaptic calcium integration drives plasticity mechanisms thought to underlie memory storage. Dendritic calcium integration has been shown to follow the same synaptic input-output relationship as dendritic voltage, but whether similar operations apply to neurons exhibiting sublinear voltage integration is unknown. We examined the properties and cellular mechanisms of these dendritic operations in cerebellar molecular layer interneurons using dendritic voltage and calcium imaging, in combination with synaptic stimulation or glutamate uncaging. We show that, while synaptic potentials summate sublinearly, concomitant dendritic calcium signals summate either linearly or supralinearly depending on the number of synapses activated. The supralinear dendritic calcium triggers a branch-specific, short-term suppression of neurotransmitter release that alters the pattern of synaptic activation. Thus, differential voltage and calcium integration permits dynamic regulation of neuronal input-output transformations without altering intrinsic nonlinear integration mechanisms.

Using Multiple Whole-Cell Recordings to Study Spike-Timing-Dependent Plasticity in Acute Neocortical Slices.

This protocol provides a method for quadruple whole-cell recording to study synaptic plasticity of neocortical connections, with a special focus on spike-timing-dependent plasticity (STDP). It also describes how to morphologically identify recorded cells from two-photon laser-scanning microscopy (2PLSM) stacks.

Long-Term Potentiation by Theta-Burst Stimulation Using Extracellular Field Potential Recordings in Acute Hippocampal Slices.

This protocol describes how to carry out theta-burst long-term potentiation (LTP) with extracellular field recordings in acute rodent hippocampal slices. This method is relatively simple and noninvasive and provides a way to sample many neurons simultaneously, making it suitable for applications requiring higher throughput than whole-cell recording.

In Vitro Investigation of Synaptic Plasticity.

A classical in vitro model for investigation of information storage in the brain is based on the acute hippocampal slice. Here, repeated high-frequency stimulation of excitatory Schaeffer collaterals making synapses onto pyramidal cells in the hippocampal CA1 region leads to strengthening of evoked field-recording responses-long-term potentiation (LTP)-in keeping with Hebb's postulate. This model remains tremendously influential for its reliability, specificity, and relative ease of use. More recent plasticity studies have explored various other brain regions including the neocortex, which often requires more laborious whole-cell recordings of synaptically connected pairs of neurons, to ensure that the identities of recorded cells are known. In addition, with this experimental approach, the spiking activity can be controlled with millisecond precision, which is necessary for the study of spike-timing-dependent plasticity (STDP). Here, we provide protocols for in vitro study of hippocampal CA1 LTP using field recordings, and of STDP in synaptically connected pairs of layer-5 pyramidal cells in acute slices of rodent neocortex.

Neurons diversify astrocytes in the adult brain through sonic hedgehog signaling.

Astrocytes are specialized and heterogeneous cells that contribute to central nervous system function and homeostasis. However, the mechanisms that create and maintain differences among astrocytes and allow them to fulfill particular physiological roles remain poorly defined. We reveal that neurons actively determine the features of astrocytes in the healthy adult brain and define a role for neuron-derived sonic hedgehog (Shh) in regulating the molecular and functional profile of astrocytes. Thus, the molecular and physiological program of astrocytes is not hardwired during development but, rather, depends on cues from neurons that drive and sustain their specialized properties.

Contribution of sublinear and supralinear dendritic integration to neuronal computations.

Nonlinear dendritic integration is thought to increase the computational ability of neurons. Most studies focus on how supralinear summation of excitatory synaptic responses arising from clustered inputs within single dendrites result in the enhancement of neuronal firing, enabling simple computations such as feature detection. Recent reports have shown that sublinear summation is also a prominent dendritic operation, extending the range of subthreshold input-output (sI/O) transformations conferred by dendrites. Like supralinear operations, sublinear dendritic operations also increase the repertoire of neuronal computations, but feature extraction requires different synaptic connectivity strategies for each of these operations. In this article we will review the experimental and theoretical findings describing the biophysical determinants of the three primary classes of dendritic operations: linear, sublinear, and supralinear. We then review a Boolean algebra-based analysis of simplified neuron models, which provides insight into how dendritic operations influence neuronal computations. We highlight how neuronal computations are critically dependent on the interplay of dendritic properties (morphology and voltage-gated channel expression), spiking threshold and distribution of synaptic inputs carrying particular sensory features. Finally, we describe how global (scattered) and local (clustered) integration strategies permit the implementation of similar classes of computations, one example being the object feature binding problem.

Target-cell-specific short-term plasticity in local circuits.

Short-term plasticity (STP) denotes changes in synaptic strength that last up to tens of seconds. It is generally thought that STP impacts information transfer across synaptic connections and may thereby provide neurons with, for example, the ability to detect input coherence, to maintain stability and to promote synchronization. STP is due to a combination of mechanisms, including vesicle depletion and calcium accumulation in synaptic terminals. Different forms of STP exist, depending on many factors, including synapse type. Recent evidence shows that synapse dependence holds true even for connections that originate from a single presynaptic cell, which implies that postsynaptic target cell type can determine synaptic short-term dynamics. This arrangement is surprising, since STP itself is chiefly due to presynaptic mechanisms. Target-specific synaptic dynamics in addition imply that STP is not a bug resulting from synapses fatiguing when driven too hard, but rather a feature that is selectively implemented in the brain for specific functional purposes. As an example, target-specific STP results in sequential somatic and dendritic inhibition in neocortical and hippocampal excitatory cells during high-frequency firing. Recent studies also show that the Elfn1 gene specifically controls STP at some synapse types. In addition, presynaptic NMDA receptors have been implicated in synapse-specific control of synaptic dynamics during high-frequency activity. We argue that synapse-specific STP deserves considerable further study, both experimentally and theoretically, since its function is not well known. We propose that synapse-specific STP has to be understood in the context of the local circuit, which requires combining different scientific disciplines ranging from molecular biology through electrophysiology to computer modeling.

Thin dendrites of cerebellar interneurons confer sublinear synaptic integration and a gradient of short-term plasticity.

Interneurons are critical for neuronal circuit function, but how their dendritic morphologies and membrane properties influence information flow within neuronal circuits is largely unknown. We studied the spatiotemporal profile of synaptic integration and short-term plasticity in dendrites of mature cerebellar stellate cells by combining two-photon guided electrical stimulation, glutamate uncaging, electron microscopy, and modeling. Synaptic activation within thin (0.4 µm) dendrites produced somatic responses that became smaller and slower with increasing distance from the soma, sublinear subthreshold input-output relationships, and a somatodendritic gradient of short-term plasticity. Unlike most studies showing that neurons employ active dendritic mechanisms, we found that passive cable properties of thin dendrites determine the sublinear integration and plasticity gradient, which both result from large dendritic depolarizations that reduce synaptic driving force. These integrative properties allow stellate cells to act as spatiotemporal filters of synaptic input patterns, thereby biasing their output in favor of sparse presynaptic activity.

AMPA silencing is a prerequisite for developmental long-term potentiation in the hippocampal CA1 region.

AMPA (alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid) unsilencing is an often proposed expression mechanism both for developmental long-term potentiation (LTP), involved in circuitry refinement during brain development, and for mature LTP, involved in learning and memory. In the hippocampal CA3-CA1 connection naïve (nonstimulated) synapses are AMPA signaling and AMPA-silent synapses are created from naïve AMPA-signaling (AMPA-labile) synapses by test-pulse synaptic activation (AMPA silencing). To investigate to what extent LTPs at different developmental stages are explained by AMPA unsilencing, the amount of LTP obtained at these different developmental stages was related to the amount of AMPA silencing that preceded the induction of LTP. When examined in the second postnatal week Hebbian induction was found to produce no more stable potentiation than that causing a return to the naïve synaptic strength existing prior to the AMPA silencing. Moreover, in the absence of a preceding AMPA silencing Hebbian induction produced no stable potentiation above the naïve synaptic strength. Thus this early, or developmental, LTP is nothing more than an unsilencing (dedepression) and stabilization of the AMPA signaling that was lost by the prior AMPA silencing. This dedepression and stabilization of AMPA signaling was mimicked by the presence of the protein kinase A activator forskolin. As the relative degree of AMPA silencing decreased with development, LTP manifested itself more and more as a "genuine" potentiation (as opposed to a dedepression) not explained by unsilencing and stabilization of AMPA-labile synapses. This "genuine," or mature, LTP rose from close to nothing of total LTP prior to postnatal day (P)13, to about 70% of total LTP at P16, and to about 90% of total LTP at P30. Developmental LTP, by stabilization of AMPA-labile synapses, thus seems adapted to select synaptic connections to the growing synaptic network. Mature LTP, by instead strengthening existing stable connections between cells, may then create functionally tightly connected cell assemblies within this network.

Reversible synaptic depression in developing rat CA3 CA1 synapses explained by a novel cycle of AMPA silencing-unsilencing.

In the developing hippocampus, experiments using whole cell recordings have shown that a small number of synaptic activations can convert many glutamate synapses to AMPA silent synapses. This depression of AMPA signaling is induced by low-frequency (0.05-0.2 Hz) activation, does not require N-methyl-D-aspartate or metabotropic glutamate receptor activation for its induction, and does not readily reverse after stimulus interruption. Here we show, using field recordings and perforated patch-clamp recordings of transmission in developing CA3-CA1 synapses, that this synaptic depression also can be observed under more noninvasive recording conditions. Moreover, under these conditions, the synaptic depression spontaneously recovers within 20 min by the absence of synaptic activation alone, with a time constant of approximately 7 min as determined by field excitatory postsynaptic potential recordings. Thus as for the expression of long-term potentiation (LTP), recovery from this depression is susceptible to whole cell dialysis ("wash-out"). In contrast to LTP-induced unsilencing, the AMPA signaling after stimulus interruption was again labile, resumed stimulation resulted in renewed depression. The present study has thus identified a novel cycle for AMPA signaling in which the nascent glutamate synapse cycles between an AMPA silent state, induced by a small number of synaptic activations, and a labile AMPA signaling, induced by prolonged inactivity.

Synaptic fatigue at the naive perforant path-dentate granule cell synapse in the rat.

Synaptic activation at low frequency is often used to probe synaptic function and synaptic plasticity, but little is known about how such low-frequency activation itself affects synaptic transmission. In the present study, we have examined how the perforant path-dentate granule cell (PP-GC) synapse adapts to low-frequency activation from a previously non-activated (naive) state. Stimulation at 0.2 Hz in acute slices from developing rats (7-12 days old) caused a gradual depression of the AMPA EPSC (at -80 mV) to about half within 50 stimuli. This synaptic fatigue was unaffected by the NMDA and metabotropic glutamate (mGlu) receptor antagonists d-AP5 and LY-341495. A smaller component of this synaptic fatigue was readily reversible when switching to very low-frequency stimulation (0.033-0.017 Hz) and is attributed to a reversible decrease in release probability, which is probably due to depletion of readily releasable vesicles. Thus, it was expressed to the same extent by AMPA and NMDA EPSCs, and was associated with a decrease in quantal content (measured as 1/CV(2)) with no change in the paired-pulse ratio. The larger component of the synaptic fatigue was not readily reversible, was selective for AMPA EPSCs and was associated with a decrease in 1/CV(2), thus probably representing silencing of AMPA signalling in a subset of synapses. In adult rats (> 30 days old), the AMPA silencing had disappeared while the low-frequency depression remained unaltered. The present study has thus identified two forms of synaptic plasticity that contribute to fatigue of synaptic transmission at low frequencies at the developing PP-GC synapse; AMPA silencing and a low-frequency depression of release probability.

Behavioral and neurochemical repercussions of hippocampal network activity blockade during the neonatal period.

Early destruction of the ventral hippocampus from postnatal day 7 (P7) has been shown to induce behavioral alterations in post-pubertal rats, similar to those observed in models for schizophrenia. Using a single injection of tetanus toxin into the ventral hippocampus at P1, we tested the consequences of an early neonatal activity deprivation (