Learning to learn: theta oscillations predict new learning, which enhances related learning and neurogenesis

Animals in the natural world continuously encounter learning experiences of varying degrees of novelty. New neurons in the hippocampus are especially responsive to learning associations between novel events and more cells survive if a novel and challenging task is learned. One might wonder whether new neurons would be rescued from death upon each new learning experience or whether there is an internal control system that limits the number of cells that are retained as a function of learning. In this experiment, it was hypothesized that learning a task that was similar in content to one already learned previously would not increase cell survival. We further hypothesized that in situations in which the cells are rescued hippocampal theta oscillations (3-12 Hz) would be involved and perhaps necessary for increasing cell survival. Both hypotheses were disproved. Adult male Sprague-Dawley rats were trained on two similar hippocampus-dependent tasks, trace and very-long delay eyeblink conditioning, while recording hippocampal local-field potentials. Cells that were generated after training on the first task were labeled with bromodeoxyuridine and quantified after training on both tasks had ceased. Spontaneous theta activity predicted performance on the first task and the conditioned stimulus induced a theta-band response early in learning the first task. As expected, performance on the first task correlated with performance on the second task. However, theta activity did not increase during training on the second task, even though more cells were present in animals that had learned. Therefore, as long as learning occurs, relatively small changes in the environment are sufficient to increase the number of surviving neurons in the adult hippocampus and they can do so in the absence of an increase in theta activity. In conclusion, these data argue against an upper limit on the number of neurons that can be rescued from death by learning.     

Consolidation of an Olfactory Memory Trace in the Olfactory Bulb Is Required for Learning-Induced Survival of Adult-Born Neurons and Long-Term Memory

Background

It has recently been proposed that adult-born neurons in the olfactory bulb, whose survival is modulated by learning, support long-term olfactory memory. However, the mechanism used to select which adult-born neurons following learning will participate in the long-term retention of olfactory information is unknown. We addressed this question by investigating the effect of bulbar consolidation of olfactory learning on memory and neurogenesis.

Methodology/Principal Findings

Initially, we used a behavioral ecological approach using adult mice to assess the impact of consolidation on neurogenesis. Using learning paradigms in which consolidation time was varied, we showed that a spaced (across days), but not a massed (within day), learning paradigm increased survival of adult-born neurons and allowed long-term retention of the task. Subsequently, we used a pharmacological approach to block consolidation in the olfactory bulb, consisting in intrabulbar infusion of the protein synthesis inhibitor anisomycin, and found impaired learning and no increase in neurogenesis, while basic olfactory processing and the basal rate of adult-born neuron survival remained unaffected. Taken together these data indicate that survival of adult-born neurons during learning depends on consolidation processes taking place in the olfactory bulb.

Conclusion/Significance

We can thus propose a model in which consolidation processes in the olfactory bulb determine both survival of adult-born neurons and long-term olfactory memory. The finding that adult-born neuron survival during olfactory learning is governed by consolidation in the olfactory bulb strongly argues in favor of a role for bulbar adult-born neurons in supporting olfactory memory.     

Arterial cells and CNS sheath cells from Aplysia californica produce factors that enhance neurite outgrowth in co-cultured neurons

Substrate-bound and soluble factors regulate neurite outgrowth and synapse formation during development, regeneration, and learning and memory. We report that sheath cells from CNS connectives and arterial cells from the anterior aorta of the sea slug, Aplysia californica, enhance neurite outgrowth from co-cultured Aplysia neurons. Sheath and arterial cell cultures contain several cell types, including fibrocytes, myocytes, and amoebocytes. When compared to controls (neurons with defined growth medium alone), the percentage of neurons with growth and the average neurite lengths are significantly enhanced by sheath and arterial cells at 48 h after plating of the neurons; these parameters are comparable to those of neurons cultured in medium containing hemolymph. Our results indicate that sheath cells produce substrate-bound factor(s) and arterial cells produce diffusible factor(s) that promote growth. These growth factors likely promote neuron survival and neurite outgrowth during neural plasticity exhibited in the adult CNS. Electronic Publication     

Adult neurogenesis and modulation of neural circuit function

A growing body of evidence indicates that adult neurogenesis is involved in the modulation of certain types of hippocampus-dependent memory. Recent studies suggest that newly born neurons play a key role in pattern separation mediated by the dentate gyrus, in systems consolidation, through which memory becomes progressively independent of the hippocampus, and in social memory-based reproductive behavior. Furthermore, neural activity and learning are now thought to regulate the proliferation of neuronal precursors as well as the survival and apoptosis of new neurons. Moreover, these processes also affect the development of the dendritic arbor and dendritic spines of new neurons, thereby modulating the integration of adult-born neurons into the functional neural circuit.     

Plasticity of hippocampal stem/progenitor cells to enhance neurogenesis in response to kainate-induced injury is lost by middle age

A remarkable up-regulation of neurogenesis through increased proliferation of neural stem/progenitor cells (NSCs) is a well-known plasticity displayed by the young dentate gyrus (DG) following brain injury. To ascertain whether this plasticity is preserved during aging, we quantified DG neurogenesis in the young adult, middle-aged and aged F344 rats after kainic acid induced hippocampal injury. Measurement of new cells that are added to the dentate granule cell layer (GCL) between post-injury days 4 and 15 using 5'-bromodeoxyuridine labeling revealed an increased addition of new cells in the young DG but not in the middle-aged and aged DG. Quantification of newly born neurons using doublecortin immunostaining also demonstrated a similar trend. Furthermore, the extent of ectopic migration of new neurons into the dentate hilus was dramatically increased in the young DG but was unaltered in the middle-aged and aged DG. However, there was no change in neuronal fate-choice decision of newly born cells following injury in all age groups. Similarly, comparable fractions of new cells that are added to the GCL after injury exhibited 5-month survival and expressed the mature neuronal marker NeuN, regardless of age or injury at the time of their birth. Thus, hippocampal injury does not adequately stimulate NSCs in the middle-aged and aged DG, resulting in no changes in neurogenesis after injury. Interestingly, rates of both neuronal fate-choice decision and long-term survival of newly born cells remain stable with injury in all age groups. These results underscore that the ability of the DG to increase neurogenesis after injury is lost as early as middle age.     

Spatial learning depends on both the addition and removal of new hippocampal neurons

The role of adult hippocampal neurogenesis in spatial learning remains a matter of debate. Here, we show that spatial learning modifies neurogenesis by inducing a cascade of events that resembles the selective stabilization process characterizing development. Learning promotes survival of relatively mature neurons, apoptosis of more immature cells, and finally, proliferation of neural precursors. These are three interrelated events mediating learning. Thus, blocking apoptosis impairs memory and inhibits learning-induced cell survival and cell proliferation. In conclusion, during learning, similar to the selective stabilization process, neuronal networks are sculpted by a tightly regulated selection and suppression of different populations of newly born neurons.     

The impact of deafness to the survival of the newborn cells in the brain of juvenile white-rumped munia, Lonchura striata

In white-rumped munia, early auditory experience is critical for normal song development. New neurons are constantly added to the telencephalon in juveniles. We examined the potential role of auditory experience in regulating the developmental changes in the song nuclei and the survival of newborn cells. We chose two special days, postnatal day 23 and 37, at which we deafened the birds through bilateral cochlea removal. All birds were injected with the cell birth marker BrdU two weeks before the lesion surgeries, and then were killed two weeks or one month later. The BrdU-positive cells were distributed throughout the brain, including the high vocal center (HVC), Lobus parolfactorius and the ventricle zone (VZ) in telencephalon, the granular cell layer (GCL) of cerebellum. Moreover, these BrdU-positive cells in the GCL could self-renew. However, the nucleus robustus archistriatalis (RA) did not sprout new neurons in juvenile. In telencephalon except the VZ, 41 percent of BrdU-positive cells were NeuN-positive, too. Deafness had no significant effect on development of HVC and RA, the distribution of new cells, and the survival of new cells in telencephalon. From these data, we propose that auditory deprivation could not affect the survival of new cells of telencephalon within one month. Surprisingly, we found deafness had a complex and dramatic effect on the number of new cells in cerebellum. Deafness at postnatal day 23 could increase the number of new cells in the GCL, while deafness at postnatal day 37 decreased the number.     

Hemispheric Asymmetry in New Neurons in Adulthood Is Associated with Vocal Learning and Auditory Memory

Many brain regions exhibit lateral differences in structure and function, and also incorporate new neurons in adulthood, thought to function in learning and in the formation of new memories. However, the contribution of new neurons to hemispheric differences in processing is unknown. The present study combines cellular, behavioral, and physiological methods to address whether 1) new neuron incorporation differs between the brain hemispheres, and 2) the degree to which hemispheric lateralization of new neurons correlates with behavioral and physiological measures of learning and memory. The songbird provides a model system for assessing the contribution of new neurons to hemispheric specialization because songbird brain areas for vocal processing are functionally lateralized and receive a continuous influx of new neurons in adulthood. In adult male zebra finches, we quantified new neurons in the caudomedial nidopallium (NCM), a forebrain area involved in discrimination and memory for the complex vocalizations of individual conspecifics. We assessed song learning and recorded neural responses to song in NCM. We found significantly more new neurons labeled in left than in right NCM; moreover, the degree of asymmetry in new neuron numbers was correlated with the quality of song learning and strength of neuronal memory for recently heard songs. In birds with experimentally impaired song quality, the hemispheric difference in new neurons was diminished. These results suggest that new neurons may contribute to an allocation of function between the hemispheres that underlies the learning and processing of complex signals.     

Grid cells, place cells, and geodesic generalization for spatial reinforcement learning

Reinforcement learning (RL) provides an influential characterization of the brain's mechanisms for learning to make advantageous choices. An important problem, though, is how complex tasks can be represented in a way that enables efficient learning. We consider this problem through the lens of spatial navigation, examining how two of the brain's location representations--hippocampal place cells and entorhinal grid cells--are adapted to serve as basis functions for approximating value over space for RL. Although much previous work has focused on these systems' roles in combining upstream sensory cues to track location, revisiting these representations with a focus on how they support this downstream decision function offers complementary insights into their characteristics. Rather than localization, the key problem in learning is generalization between past and present situations, which may not match perfectly. Accordingly, although neural populations collectively offer a precise representation of position, our simulations of navigational tasks verify the suggestion that RL gains efficiency from the more diffuse tuning of individual neurons, which allows learning about rewards to generalize over longer distances given fewer training experiences. However, work on generalization in RL suggests the underlying representation should respect the environment's layout. In particular, although it is often assumed that neurons track location in Euclidean coordinates (that a place cell's activity declines "as the crow flies" away from its peak), the relevant metric for value is geodesic: the distance along a path, around any obstacles. We formalize this intuition and present simulations showing how Euclidean, but not geodesic, representations can interfere with RL by generalizing inappropriately across barriers. Our proposal that place and grid responses should be modulated by geodesic distances suggests novel predictions about how obstacles should affect spatial firing fields, which provides a new viewpoint on data concerning both spatial codes.     

Chasing fate and function of new neurons in adult brains

Neuron production, migration and differentiation are major developmental events that continue, on a smaller scale, into adult life in a wide range of species from insects to mammals. Recent reports of adult neurogenesis in primates, including humans, have led to explosive scientific and public attention. During the last two years, significant discoveries have revealed that the generation, recruitment and survival of new neurons in adult brains are governed by principles similar to those that shape the developing brain, such as neuronal death, sensory experience, activity levels, and learning. Similarly, many factors implicated in embryonic neurogenesis are increasingly found to regulate adult neurogenesis and survival as well. These findings now allow the first manipulations of the numbers of adult-generated neurons to address their potential behavioral function.     

LMAN lesions prevent song degradation after deafening without reducing HVC neuron addition

In some songbirds perturbing auditory feedback can promote changes in song structure well beyond the end of song learning. One factor that may drive vocal change in such deafened birds is the ongoing addition of new vocal-motor neurons into the song system. Without auditory feedback to guide their incorporation, the addition of these new neurons could disrupt the established song pattern. To assess this hypothesis, the authors determined if neuronal recruitment into the vocal motor nucleus HVC is affected by neural signals that influence vocal change in adult deafened birds. Such signals appear to be conveyed via LMAN, a nucleus in the anterior forebrain that is necessary for vocal change after deafening. Here the authors tested whether LMAN lesions might restrict song degradation after deafening by reducing the addition or survival of new HVC neurons that would otherwise corrupt the ongoing song pattern. Using [3H]thymidine autoradiography to identify neurons generated in adult zebra finches, it was shown here that LMAN lesions do not reduce the number or percent of new HVC neurons surviving for either several weeks or months after [3H]thymidine labeling. However, the authors confirmed previous reports that LMAN lesions restrict vocal change after deafening. These data suggest that neurons incorporated into the adult HVC may form behaviorally adaptive connections without requiring auditory feedback, and that any role such neurons may play in promoting vocal change after adult deafening requires anterior forebrain pathway output.     

Late Maturation of Adult-Born Neurons in the Temporal Dentate Gyrus

Hippocampal function varies along its septotemporal axis, with the septal (dorsal) pole more frequently involved in spatial learning and memory and the temporal (ventral) pole playing a greater role in emotional behaviors. One feature that varies across these subregions is adult neurogenesis. New neurons are more numerous in the septal hippocampus but are more active in the temporal hippocampus during water maze training. However, many other aspects of adult neurogenesis remain unexplored in the context of septal versus temporal subregions. In addition, the dentate gyrus contains another functionally important anatomical division along the transverse axis, with the suprapyramidal blade showing greater experience-related activity than the infrapyramidal blade. Here we ask whether new neurons differ in their rates of survival and maturation along the septotemporal and transverse axes. We found that neurogenesis is initially higher in the infrapyramidal than suprapyramidal blade, but these cells are less likely to survive, resulting in similar densities of neurons in the two blades by four weeks. Across the septotemporal axis, neurogenesis was higher in septal than temporal pole, while the survival rate of new neurons did not differ. Maturation was assessed by immunostaining for the neuronal marker, NeuN, which increases in expression level with maturation, and for the immediate-early gene, Arc, which suggests a neuron is capable of undergoing activity-dependent synaptic plasticity. Maturation occurred approximately 1–2 weeks earlier in the septal pole than in the temporal pole. This suggests that septal neurons may contribute to function sooner; however, the prolonged maturation of new temporal neurons may endow them with a longer window of plasticity during which their functions could be distinct from those of the mature granule cell population. These data point to subregional differences in new neuron maturation and suggest that changes in neurogenesis could alter different hippocampus-dependent behaviors with different time courses.     

Get to know your stem cells

Our view of the central nervous system has changed dramatically over the past few years. It is now well established that new neurons are generated continuously in adult mammals, including humans. These neurons derive from self-renewing multipotent neural stem cells. The identify of these stem cells has recently been unveiled.     

The chronotron: a neuron that learns to fire temporally precise spike patterns

In many cases, neurons process information carried by the precise timings of spikes. Here we show how neurons can learn to generate specific temporally precise output spikes in response to input patterns of spikes having precise timings, thus processing and memorizing information that is entirely temporally coded, both as input and as output. We introduce two new supervised learning rules for spiking neurons with temporal coding of information (chronotrons), one that provides high memory capacity (E-learning), and one that has a higher biological plausibility (I-learning). With I-learning, the neuron learns to fire the target spike trains through synaptic changes that are proportional to the synaptic currents at the timings of real and target output spikes. We study these learning rules in computer simulations where we train integrate-and-fire neurons. Both learning rules allow neurons to fire at the desired timings, with sub-millisecond precision. We show how chronotrons can learn to classify their inputs, by firing identical, temporally precise spike trains for different inputs belonging to the same class. When the input is noisy, the classification also leads to noise reduction. We compute lower bounds for the memory capacity of chronotrons and explore the influence of various parameters on chronotrons' performance. The chronotrons can model neurons that encode information in the time of the first spike relative to the onset of salient stimuli or neurons in oscillatory networks that encode information in the phases of spikes relative to the background oscillation. Our results show that firing one spike per cycle optimizes memory capacity in neurons encoding information in the phase of firing relative to a background rhythm.     

Neural stem cells in the brain

Stem cells in the central nervous system were usually considered as relevant for evaluation only in embryonic time. Recent advances in molecular cloning and immunological identification of the different cell types prove the presence of neurogenesis of the new neurons in adult mammals brains. New neurons are born in two areas of the mammal and human brain--sybventricular zone and subgranular zone of dentate gyrus. New born granular neurons of dentate gyrus have a great importance for memory and learning. New neurons originate from precursors which in culture and in situ could also transform into astrocytes and oligodendrocytes, thus fulfill criteria of neural stem cells. In culture, mitotic activity of these stem sells depends on fibroblast growth factor 2 and epidermal growth factor. Depletion of cultural medium of these factors and addition of serum, other growth factors (Platelet-derived growth factor and ciliary neurotrophic factor) leads to generation of neurons and astrocytes. Isolation and clonal analysis of stem cells is based on immunological markers such as nestin, beta-tubulin III, some types of membrane glicoproteids. Identification and visualization of stem cells in brain revealed two populations of cells which have properties of stem cells. In embryonic time, radial glia cells could give origin to neurons, in mature brain cells expressing glial fibrillar acidic protein typical marker of astrocytes fulfill criteria for stem cells. Neural stem cells could transform not only into mature neurons and glial cells but also into blood cells, thus revealing broad spectrum of progenitors from different embryonic tissues. Further progress in this field of neurobiology could give prosperity in the cell therapy of many brain diseases.     

神经胶质细胞与突触可塑性研究新进展

突触的可塑性是研究学习与记忆的基础,很长时间以来人们对突触的可塑性研究主要集中在神经元和突触上;而胶质细胞的作用较少受到注意。最近的研究发现胶质细胞也参与突触的构成并影响突触的活动。研究表明中枢神经系统中的胶质细胞包括星形胶质细胞、小胶质细胞和少突胶质细胞可分别通过谷氨酸、丝氨酸、甘氨酸、ATP等信号调节突触的可塑性,从而为突触的可塑性研究提供了新的思路和方向,并有助于阐明突触的发生以及学习与记忆的机制。     

Developmental changes in the response of murine cerebellar granule cells to nitric oxide

Nitric oxide is a diffusible messenger that plays a multitude of roles within the nervous system including modulation of cell viability. However, its role in regulating neuronal survival during a defined period of neurodevelopment has never been investigated. We discovered that expression of the messenger RNA for both neuronal and endothelial nitric oxide synthase increased in the early postnatal period in the cerebellum in vivo, whilst the expression of inducible nitric oxide synthase remained constant throughout this time in development. Whilst scavenging of nitric oxide was deleterious to the survival of early postnatal cerebellar granule neurons in vitro, this effect was lost in cultures derived at increasing postnatal ages. Conversely, sensitivity to exogenous nitric oxide increased with advancing postnatal age. Thus, we have shown that as postnatal development proceeds, cerebellar granule cells alter their in vitro survival responses to both nitric oxide inhibition and donation, revealing that the nitric oxide's effects on developing neurons vary with the stage of development studied. These findings have important consequences for our understanding of the role of nitric oxide during neuronal development.     

Learning invariant object recognition in the visual system with continuous transformations

The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temporal continuity typical of objects has been used in an associative learning rule with a short-term memory trace to help build invariant object representations. In this paper, we show that spatial continuity can also provide a basis for helping a system to self-organize invariant representations. We introduce a new learning paradigm “continuous transformation learning” which operates by mapping spatially similar input patterns to the same postsynaptic neurons in a competitive learning system. As the inputs move through the space of possible continuous transforms (e.g. translation, rotation, etc.), the active synapses are modified onto the set of postsynaptic neurons. Because other transforms of the same stimulus overlap with previously learned exemplars, a common set of postsynaptic neurons is activated by the new transforms, and learning of the new active inputs onto the same postsynaptic neurons is facilitated. We demonstrate that a hierarchical model of cortical processing in the ventral visual system can be trained with continuous transform learning, and highlight differences in the learning of invariant representations to those achieved by trace learning.