23 papers · ranked by Valyu relevance
Guan Wang, James Gilbert, Heng-Ye Man
Homeostatic synaptic plasticity is a negative-feedback response employed to compensate for functional disturbances in the nervous system. Typically, synaptic activity is strengthened when neuronal firing is chronically suppressed or weakened when neuronal activity is chronically elevated. At both the whole cell and…
Vesna Lazarevic, Santosh Pothula, Maria Andres-Alonso, Anna Fejtova
Homeostatic plasticity is a process by which neurons adapt to the overall network activity to keep their firing rates in a reasonable range. At the cellular level this kind of plasticity comprises modulation of cellular excitability and tuning of synaptic strength. In this review we concentrate on presynaptic…
Roxana Zeraati, Viola Priesemann, Anna Levina
Self-organized criticality has been proposed to be a universal mechanism for the emergence of scale-free dynamics in many complex systems, and possibly in the brain. While such scalefree patterns were identified experimentally in many different types of neural recordings, the biological principles behind their…
Mathieu Letellier, Lorenzo A. Cingolani
Neuronal networks can be viewed as learning and memory storage devices. They are highly “plastic,” changing the way they process information in response to external stimuli. Yet, they are also highly “tenacious,” with many neuronal networks retaining their functional identity over many years. Hebbian forms of synaptic…
Xiuming Yuan, Sofía Puvogel, Jon-Ruben van Rhijn, Anna Esteve-Codina + 8 more
Mechanisms that underlie homeostatic plasticity have been extensively investigated at single-cell levels in animal models, but are less well understood at the network level. Here, we used microelectrode arrays to characterize neuronal networks following induction of homeostatic plasticity in human induced pluripotent…
Elisa Galliano, Tara Keck
Statistical learning, sensory-driven unsupervised learning of repeating patterns, must coexist with ongoing homeostatic plasticity that is responsible for the necessary balance of activity in the brain; however, the mechanisms that facilitate these interactions are not clear. While models of both statistical learning…
Ege T. Kavalali, Lisa M. Monteggia
Neuronal and synaptic plasticity are widely used terms in the field of psychiatry. However, cellular neurophysiologists have identified two broad classes of plasticity. Hebbian forms of plasticity alter synaptic strength in a synapse specific manner in the same direction of the initial conditioning stimulation. In…
Stuart David Greenhill, Adam Ranson, Kevin Fox
Title: Summary Layer 5 contains the major projection neurons of the neocortex and is composed of two major cell types: regular spiking (RS) cells, which have cortico-cortical projections, and intrinsic bursting cells (IB), which have subcortical projections. Little is known about the plasticity processes and…
John J. Orczyk, Preston E. Garraghty
The concept of homeostatic plasticity postulates that neurons maintain relatively stable rates of firing despite changing inputs. Homeostatic and use-dependent plasticity mechanisms operate concurrently, although they have different requirements for induction. Depriving central somatosensory neurons of their primary…
Whitney E. Heavner, Haley E. Speed, Jonathan D. Lautz, Edward P. Gniffke + 3 more
Neurons maintain constant levels of excitability using homeostatic scaling, which adjusts relative synaptic strength in response to large changes in overall activity. While previous studies have catalogued the transcriptomic and proteomic changes associated with scaling, the resulting alterations in synaptic protein…
Rodrigo P. Rocha, Loren Koçillari, Samir Suweis, Maurizio Corbetta + 1 more
'Amos Maritan'] Understanding the relationship between large-scale structural and functional brain networks remains a crucial issue in modern neuroscience. Recently, there has been growing interest in investigating the role of homeostatic plasticity mechanisms, across different spatiotemporal scales, in regulating…
Friedemann Zenke, Wulfram Gerstner, Surya Ganguli
Hebbian plasticity, a synaptic mechanism which detects and amplifies co-activity between neurons, is considered a key ingredient underlying learning and memory in the brain. However, Hebbian plasticity alone is unstable, leading to runaway neuronal activity, and therefore requires stabilization by additional…
Ning Qiao, Chiara Bartolozzi, Giacomo Indiveri
—Homeostatic plasticity is a stabilizing mechanism commonly observed in real neural systems that allows neurons to maintain their activity around a functional operating point. This phenomenon can be used in neuromorphic systems to compensate for slowly changing conditions or chronic shifts in the system configuration.…
Ning Qiao, Giacomo Indiveri, Chiara Bartolozzi
—Homeostatic plasticity is a stabilizing mechanism that allows neural systems to maintain their activity around a functional operating point. This is an extremely useful mechanism for neuromorphic computing systems, as it can be used to compensate for chronic shifts, for example due to changes in the network structure.…
Katharina A. Wilmes, Claudia Clopath
With Hebbian learning ‘who fires together wires together’, well-known problems arise. Hebbian plasticity can cause unstable network dynamics and overwrite stored memories. Unstable dynamics can partly be addressed with homeostatic plasticity mechanisms. Unfortunately, the time constants of homeostatic mechanisms…
Peter J. Hellyer, Barbara Jachs, Robert Leech, Claudia Clopath
Rich, spontaneous brain activity has been observed across a range of different temporal and spatial scales. These dynamics are thought to be important t for efficient neural functioning. Experimental evidence suggests that these neural dynamics are maintained across a variety of different cognitive states, in response…
Elisa Castaldi, Claudia Lunghi, Maria Concetta Morrone
Between 1-5:100 people worldwide has never experienced normotypic vision due to a condition called amblyopia, and about 1:4000 suffer from inherited retinal dystrophies that progressively lead them to blindness. While a wide range of technologies and therapies are being developed to restore vision, a fundamental…
Lisa A. McIlvried, John Smith Del Rosario, Melanie Y. Pullen, Andi Wangzhou + 7 more
In response to changes in activity induced by environmental cues, neurons in the central nervous system undergo homeostatic plasticity to sustain overall network function during abrupt changes in synaptic strengths. Homeostatic plasticity involves changes in synaptic scaling and regulation of intrinsic excitability.…
Kunaal Joshi, Charles S. Wright, Karl F. Ziegler, Elizabeth M. Spiers + 4 more
We reconceptualize homeostasis from an inherently stochastic, intergenerational perspective. Here we use our SChemostat technology to directly record high-precision multigenerational trains of sizes of statistically identical non-interacting individual cells of Caulobacter crescentus in precisely controlled…
Weiping Wu, Shuaixin Fan, Xuan Wu, Lili Fang + 1 more
Transition metal catalysis has revolutionized modern synthetic chemistry for its diverse modes of coordination reactivity. However, this versatility in reactivity is also the predominant cause of catalyst deactivation, a persisting issue that can significantly compromise its synthetic value. Homeostatic catalysis, a…
Authors not listed
The therapeutic potential of cannabis remains constrained by persistent physiological side effects that limit both medical applications and user tolerability. This paper presents a theo- retical framework for addressing these limitations through coordinated multi-target pharma- cological intervention. By synthesizing…
Carley V. Cook, Ariel M. Lighty, Brenda J. Smith, Ashlee N. Ford Versypt
Bone remodeling is an essential physiological process in the adult skeleton. Due to the complex nature of this process, many mathematical models of bone remodeling have been developed. Each of these models has unique features, but they have underlying patterns. In this review, the authors highlight the important…
Authors not listed
Understanding how plants respond to dynamic and spatially variable stimuli is a key goal in plant sciences. Traditional imaging methods often involve a trade-off between environmental control and spatial resolution, limiting their ability to capture real-time responses in high resolution. Microfluidic technology…