16 papers · ranked by Valyu relevance
Adiel Statman, Maya Kaufman, Amir Minerbi, Noam E. Ziv + 2 more
'Naama Brenner' 'Yonatan Loewenstein'] Long-term, repeated measurements of individual synaptic properties have revealed that synapses can undergo significant directed and spontaneous changes over time scales of minutes to weeks. These changes are presumably driven by a large number of activity-dependent and independent…
Shlomo Tsuriel, Ran Geva, Pedro Zamorano, Thomas Dresbach + 5 more
'Tobias Boeckers' 'Eckart D Gundelfinger' 'Craig C Garner' 'Noam E Ziv' 'Charles Stevens'] Recent studies suggest that central nervous system synapses can persist for weeks, months, perhaps lifetimes, yet little is known as to how synapses maintain their structural and functional characteristics for so long. As a step…
Yuichi Katori, Kazuhiro Sakamoto, Hajime Mushiake, Kazuyuki Aihara
Synaptic transmission efficacy transiently changes in a short period of time with generation of presynaptic spikes. Depending on changes in releasable neurotransmitters and calcium concentration in presynaptic terminals, the transmission efficacy of the dynamic synapses decreases (short-term depression) or increases…
Srdjan Ostojic, Stefano Fusi
Often we need to perform tasks in an environment that changes stochastically. In these situations it is important to learn the statistics of sequences of events in order to predict the future and the outcome of our actions. The statistical description of many of these sequences can be reduced to the set of…
Saray Soldado-Magraner, Jamie McDowell, Shanglin Zhou, Dean V. Buonomano
In computational neuroscience and deep learning models, synapses are viewed as simple computational elements with a single learnable parameter: synaptic strength. Here we propose that synapses are more sophisticated elements with multiple learnable parameters; allowing synapses to tune their short-term synaptic…
Vladislav Volman, Herbert Levine, Terrence J. Sejnowski, Lyle J. Graham
'Lyle J. Graham'] The sensitivity of a neuron to its input can be modulated in several ways. Changes in the slope of the neuronal input-output curve depend on factors such as shunting inhibition, background noise, frequency-dependent synaptic excitation, and balanced excitation and inhibition. However, in early…
Françoise Chanut
Synapses, the connections that link neurons into circuits, can be plastic or stable in the mammalian brain. Right after birth, synapses form and dissolve among nascent neurons at breakneck speed as the animal adapts to its new surroundings. But, over time, while some plasticity remains and allows for learning, most…
Bin Wang, Olga K Dudko, Timothy E Behrens, Timothy E Behrens
Rapid and precise neuronal communication is enabled through a highly synchronous release of signaling molecules neurotransmitters within just milliseconds of the action potential. Yet neurotransmitter release lacks a theoretical framework that is both phenomenologically accurate and mechanistically realistic. Here, we…
Tjeerd V. olde Scheper, Rhiannon M. Meredith, Huibert D. Mansvelder, Jaap van Pelt + 1 more
'Jaap van Pelt' 'Arjen van Ooyen'] Spike Timing-Dependent Plasticity has been found to assume many different forms. The classic STDP curve, with one potentiating and one depressing window, is only one of many possible curves that describe synaptic learning using the STDP mechanism. It has been shown experimentally that…
Yinyun Li, Tomas Kulvicius, Christian Tetzlaff, William D Phillips
The adaptive mechanisms of homo- and heterosynaptic plasticity play an important role in learning and memory. In order to maintain plasticity-induced changes for longer time scales (up to several days), they have to be consolidated by transferring them from a short-lasting early-phase to a long-lasting late-phase…
Ranjita Dutta Roy, Melanie I. Stefan, Christian Rosenmund
Hippocampal neurons show different types of short-term plasticity (STP). Some exhibit facilitation of their synaptic responses and others depression. In this review we discuss presynaptic biophysical properties behind heterogeneity in STP in hippocampal neurons such as alterations in vesicle priming and docking…
Attila Szücs, Fulvia Berton, Thomas Nowotny, Pietro Sanna + 2 more
'Walter Francesconi' 'Vladimir Brezina'] Neurons display a high degree of variability and diversity in the expression and regulation of their voltage-dependent ionic channels. Under low level of synaptic background a number of physiologically distinct cell types can be identified in most brain areas that display…
Christopher B. Currin, Andrew J. Trevelyan, Colin J. Akerman, Joseph V. Raimondo + 1 more
'Joseph V. Raimondo' 'Hugues Berry'] Fast synaptic inhibition is a critical determinant of neuronal output, with subcellular targeting of synaptic inhibition able to exert different transformations of the neuronal input-output function. At the receptor level, synaptic inhibition is primarily mediated by…
Jochen Triesch, Anh Duong Vo, Anne-Sophie Hafner
Changes in the efficacies of synapses are thought to be the neurobiological basis of learning and memory. The efficacy of a synapse depends on its current number of neurotransmitter receptors. Recent experiments have shown that these receptors are highly dynamic, moving back and forth between synapses on time scales of…
Chiara Gastaldi, Samuel Muscinelli, Wulfram Gerstner
Synaptic changes induced by neural activity need to be consolidated to maintain memory over a timescale of hours. In experiments, synaptic consolidation can be induced by repeating a stimulation protocol several times and the effectiveness of consolidation depends crucially on the repetition frequency of the…
Adrienn Szabó, Katalin Schlett, Attila Szücs, Joseph Ayers
Activity-dependent regulation of intrinsic excitability has been shown to greatly contribute to the overall plasticity of neuronal circuits. Such neuroadaptations are commonly investigated in patch clamp experiments using current step stimulation and the resulting input-output functions are analyzed to quantify…