Results 81 to 90 of about 564,334 (388)

Synaptic Plasticity in an Altered State [PDF]

open access: yesNeuron, 2002
In this issue of Neuron, record from synaptically coupled pairs of CA3 neurons to closely examine the induction of synaptic depression at a small number of identified synapses. The authors provide convincing evidence that the activation history of a synapse determines both the ability of a synapse to depress and the mechanism of depression.
Benjamin D. Philpot, Mark F. Bear
openaire   +3 more sources

Multicoding in neural information transfer suggested by mathematical analysis of the frequency-dependent synaptic plasticity in vivo [PDF]

open access: yesarXiv, 2020
Two elements of neural information processing have primarily been proposed: firing rate and spike timing of neurons. In the case of synaptic plasticity, although spike-timing-dependent plasticity (STDP) depending on presynaptic and postsynaptic spike times had been considered the most common rule, recent studies have shown the inhibitory nature of the ...
arxiv  

3D In Vitro Glioma‐Neuron‐Astrocyte Biomimetic Composites Recapitulate Key Molecular Mechanisms Linked to Glioblastoma Multiforme Pathophysiology

open access: yesAdvanced Functional Materials, EarlyView.
Glioblastoma multiforme is the most devastating and incurable brain tumor. To better study this disease, a 3D model is developed using a hyaluronic acid‐based hydrogel combined with a multicellular approach. This model recapitulates in vivo brain stiffness, cell‐extracellular matrix and cell‐cell interactions and the tumor's hijacking function with the
Mateo S. Andrade Mier   +26 more
wiley   +1 more source

Synaptic Plasticity and Nicotine Addiction [PDF]

open access: yesNeuron, 2001
Nicotine, the main addictive component of tobacco, activates and desensitizes nicotinic acetylcholine receptors (nAChRs). In that way, nicotine alters normal nicotinic cholinergic functions. Among the myriad of psychopharmacological effects that underlie the addiction process, nicotine influences nAChR participation in synaptic plasticity.
Fu-Ming Zhou, Daoyun Ji, John A. Dani
openaire   +3 more sources

Synaptic Plasticity in Correlated Balanced Networks [PDF]

open access: yesarXiv, 2020
The dynamics of local cortical networks are irregular, but correlated. Dynamic excitatory--inhibitory balance is a plausible mechanism that generates such irregular activity, but it remains unclear how balance is achieved and maintained in plastic neural networks.
arxiv  

Tunable Tactile Synapses Enabled by Erasable Doping in Iongel‐Gated Nanotube Network Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Artificial tactile synaptic sensors are realized by an iongel‐gated single‐walled carbon nanotube (SWCNT) transistor with reversible doping characteristics. The device senses and memorizes tactile stimuli and exhibits gate bias‐dependent excitatory or inhibitory synaptic behavior.
Yan Huang   +5 more
wiley   +1 more source

Synaptic plasticity: Neighborhood influences [PDF]

open access: yesCurrent Biology, 1997
Recent studies indicate that, when the strengths of specific synapses are modified by activity, changes in strengths also occur at neighboring synapses; this neighborhood influence has important implications for how synaptic modifications implement learning and memory.
openaire   +3 more sources

Ripples Make Waves: Binding Structured Activity and Plasticity in Hippocampal Networks

open access: yesNeural Plasticity, 2011
Establishing novel episodic memories and stable spatial representations depends on an exquisitely choreographed, multistage process involving the online encoding and offline consolidation of sensory information, a process that is largely dependent on the
Josef H. L. P. Sadowski   +2 more
doaj   +1 more source

Synaptoimmunology - roles in health and disease

open access: yesMolecular Brain, 2017
Mounting evidence suggests that the nervous and immune systems are intricately linked. Many proteins first identified in the immune system have since been detected at synapses, playing different roles in normal and pathological situations.
Robert Nisticò   +8 more
doaj   +1 more source

Local dendritic balance enables learning of efficient representations in networks of spiking neurons [PDF]

open access: yes, 2020
How can neural networks learn to efficiently represent complex and high-dimensional inputs via local plasticity mechanisms? Classical models of representation learning assume that input weights are learned via pairwise Hebbian-like plasticity. Here, we show that pairwise Hebbian-like plasticity only works under unrealistic requirements on neural ...
arxiv   +1 more source

Home - About - Disclaimer - Privacy