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"Neuronal Plasticity - physiology"
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Coincidence of cholinergic pauses, dopaminergic activation and depolarisation of spiny projection neurons drives synaptic plasticity in the striatum
Dopamine-dependent long-term plasticity is believed to be a cellular mechanism underlying reinforcement learning. In response to reward and reward-predicting cues, phasic dopamine activity potentiates the efficacy of corticostriatal synapses on spiny projection neurons (SPNs). Since phasic dopamine activity also encodes other behavioural variables, it is unclear how postsynaptic neurons identify which dopamine event is to induce long-term plasticity. Additionally, it is unknown how phasic dopamine released from arborised axons can potentiate targeted striatal synapses through volume transmission. To examine these questions we manipulated striatal cholinergic interneurons (ChIs) and dopamine neurons independently in two distinct in vivo paradigms. We report that long-term potentiation (LTP) at corticostriatal synapses with SPNs is dependent on the coincidence of pauses in ChIs and phasic dopamine activation, critically accompanied by SPN depolarisation. Thus, the ChI pause defines the time window for phasic dopamine to induce plasticity, while depolarisation of SPNs constrains the synapses eligible for plasticity.
It remains unclear how corticostriatal synapses utilize reward prediction error signaling in order to reinforce reward-related behaviors. Here, the authors show that potentiation of corticostriatal synapses requires phasic dopamine activation, pauses in striatal cholinergic interneuron firing, and depolarization of spiny projection neurons.
Journal Article
Brain plasticity related to the consolidation of motor sequence learning and motor adaptation
This study aimed to investigate, through functional MRI (fMRI), the neuronal substrates associated with the consolidation process of two motor skills: motor sequence learning (MSL) and motor adaptation (MA). Four groups of young healthy individuals were assigned to either (i) a night/sleep condition, in which they were scanned while practicing a finger sequence learning task or an eight-target adaptation pointing task in the evening (test) and were scanned again 12 h later in the morning (retest) or (ii) a day/awake condition, in which they were scanned on the MSL or the MA tasks in the morning and were rescanned 12 h later in the evening. As expected and consistent with the behavioral results, the functional data revealed increased test-retest changes of activity in the striatum for the night/sleep group compared with the day/awake group in the MSL task. By contrast, the results of the MA task did not show any difference in test-retest activity between the night/sleep and day/awake groups. When the two MA task groups were combined, however, increased test-retest activity was found in lobule VI of the cerebellar cortex. Together, these findings highlight the presence of both functional and structural dissociations reflecting the off-line consolidation processes of MSL and MA. They suggest that MSL consolidation is sleep dependent and reflected by a differential increase of neural activity within the corticostriatal system, whereas MA consolidation necessitates either a period of daytime or sleep and is associated with increased neuronal activity within the corticocerebellar system.
Journal Article
Zero to birth : how the human brain is built
\"By the time a baby is born, its brain has nearly 100 billion intricately shaped neurons wired together to comprise a small, soft-matter supercomputer. How is this incredibly complicated organ built in just nine months? This book is a step-by-step guide to what we know about the development of the human brain, from its earliest embryonic origin to birth and a little beyond. Written from an experimental neuroscientist's perspective, this book provides readers with a conceptual understanding of the field of developmental neurobiology, outlining both the biological mechanisms (genetic, environmental, and stochastic) that play significant and interrelated roles in neural development, and how we have come to understand the human brain's construction and function. Highlighting the major questions that have propelled the field forward - including those pushing at the frontiers of the field today - and the stories of major discoveries made by pioneering scientists around the world, the book describes how the structures and mechanisms of the developing brain were discovered. Chapters progress chronologically, tracking the actual growth and development of the human brain from conception to just after birth, as well as the history of how these mechanisms were revealed. Throughout, findings from studies of model organisms, such as nematodes, flies, frogs, fish, birds, mice, and sometimes non-human primates, are woven into the narrative and put into the context of a human embryo or fetus, as there are clear indications that the same processes involving the same genes are found across species. The book concludes with a discussion of what makes individual brains unique and how research on early neural development is helping us better understand the genetic and embryonic origins of many neurological and cognitive traits that only reveal themselves later in life\"-- Provided by publisher.
Book
Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
Deep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contrast, spiking neural networks (SNNs) have the potential to improve both the efficiency and biological plausibility of object recognition systems. Here we present a SNN model that uses spike-latency coding and winner-take-all inhibition (WTA-I) to efficiently represent visual stimuli using multi-scale parallel processing. Mimicking neuronal response properties in early visual cortex, images were preprocessed with three different spatial frequency (SF) channels, before they were fed to a layer of spiking neurons whose synaptic weights were updated using spike-timing-dependent-plasticity. We investigate how the quality of the represented objects changes under different SF bands and WTA-I schemes. We demonstrate that a network of 200 spiking neurons tuned to three SFs can efficiently represent objects with as little as 15 spikes per neuron. Studying how core object recognition may be implemented using biologically plausible learning rules in SNNs may not only further our understanding of the brain, but also lead to novel and efficient artificial vision systems.
Journal Article
Hormones and brain plasticity
One of the most fascinating developments in the field of neuroscience in the second half of the 20th century was the discovery of the endogenous capacity of the brain for reorganization during adult life. Morphological and functional mechanisms underlying brain plasticity have been extensively explored and characterized. However, our understanding of the functional significance of these plastic changes is still fragmentary. This book shows that brain plasticity plays an essential role in the regulation of hormonal levels. The second aim is to propose that hormones orchestrate the multiple endogenous plastic events of the brain for the generation of adequate physiological and behavioral responses in adaptation to and in prediction of changing life conditions. The book starts by introducing the conceptual backgrounds on the interactions of hormones and brain plasticity. It then devotes itself to the analysis of the role of brain plasticity in the regulation of the activity of endocrine glands. It examines different hormonal influences on brain plasticity. Then, it goes on to cover the interactions of hormones and brain plasticity along the life cycle under physiological and pathological conditions.
eBook
Structural aspects of plasticity in the nervous system of Drosophila
Neurons extend and retract dynamically their neurites during development to form complex morphologies and to reach out to their appropriate synaptic partners. Their capacity to undergo structural rearrangements is in part maintained during adult life when it supports the animal’s ability to adapt to a changing environment or to form lasting memories. Nonetheless, the signals triggering structural plasticity and the mechanisms that support it are not yet fully understood at the molecular level. Here, we focus on the nervous system of the fruit fly to ask to which extent activity modulates neuronal morphology and connectivity during development. Further, we summarize the evidence indicating that the adult nervous system of flies retains some capacity for structural plasticity at the synaptic or circuit level. For simplicity, we selected examples mostly derived from studies on the visual system and on the mushroom body, two regions of the fly brain with extensively studied neuroanatomy.
Journal Article
Hippocampal plasticity requires postsynaptic ephrinBs
Chemical synapses contain specialized pre- and postsynaptic structures that regulate synaptic transmission and plasticity. EphB receptor tyrosine kinases are important molecular components in this process. Previously, EphB receptors were shown to act postsynaptically, whereas their transmembrane ligands, the ephrinBs, were presumed to act presynaptically. Here we show that in mouse hippocampal CA1 neurons, the Eph/ephrin system is used in an inverted manner: ephrinBs are predominantly localized postsynaptically and are required for synaptic plasticity. We further demonstrate that EphA4, a candidate receptor, is also critically involved in long-term plasticity independent of its cytoplasmic domain, suggesting that ephrinBs are the active signaling partner. This work raises the intriguing possibility that depending on the type of synapse, Eph/ephrins can be involved in activity-dependent plasticity in converse ways, with ephrinBs on the pre- or the postsynaptic side.
Journal Article
Behavioral time scale synaptic plasticity underlies CA1 place fields
Learning is primarily mediated by activity-dependent modifications of synaptic strength within neuronal circuits. We discovered that place fields in hippocampal area CA1 are produced by a synaptic potentiation notably different from Hebbian plasticity. Place fields could be produced in vivo in a single trial by potentiation of input that arrived seconds before and after complex spiking. The potentiated synaptic input was not initially coincident with action potentials or depolarization. This rule, named behavioral time scale synaptic plasticity, abruptly modifies inputs that were neither causal nor close in time to postsynaptic activation. In slices, five pairings of subthreshold presynaptic activity and calcium (Ca2+) plateau potentials produced a large potentiation with an asymmetric seconds-long time course. This plasticity efficiently stores entire behavioral sequences within synaptic weights to produce predictive place cell activity.
Journal Article