scholarly journals Design and Characterization of Semi-Floating-Gate Synaptic Transistor

Micromachines ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 32 ◽  
Author(s):  
Yongbeom Cho ◽  
Jae Yoon Lee ◽  
Eunseon Yu ◽  
Jae-Hee Han ◽  
Myung-Hyun Baek ◽  
...  
Keyword(s):  
Long Term Potentiation ◽  
Spike Timing ◽  
Floating Gate ◽  
Total System ◽  
Charge Trap ◽  
Tunneling Mechanism ◽  
Integration Density ◽  
Term Potentiation ◽  
Short And Long Term

In this work, a study on a semi-floating-gate synaptic transistor (SFGST) is performed to verify its feasibility in the more energy-efficient hardware-driven neuromorphic system. To realize short- and long-term potentiation (STP/LTP) in the SFGST, a poly-Si semi-floating gate (SFG) and a SiN charge-trap layer are utilized, respectively. When an adequate number of holes are accumulated in the SFG, they are injected into the nitride charge-trap layer by the Fowler–Nordheim tunneling mechanism. Moreover, since the SFG is charged by an embedded tunneling field-effect transistor existing between the channel and the drain junction when the post-synaptic spike occurs after the pre-synaptic spike, and vice versa, the SFG is discharged by the diode when the post-synaptic spike takes place before the pre-synaptic spike. This indicates that the SFGST can attain STP/LTP and spike-timing-dependent plasticity behaviors. These characteristics of the SFGST in the highly miniaturized transistor structure can contribute to the neuromorphic chip such that the total system may operate as fast as the human brain with low power consumption and high integration density.

scholarly journals Endocannabinoid dynamics gate spike-timing dependent depression and potentiation

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Yihui Cui ◽  
Ilya Prokin ◽  
Hao Xu ◽  
Bruno Delord ◽  
Stephane Genet ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Synaptic Plasticity ◽  
Learning And Memory ◽  
Long Term Potentiation ◽  
Cellular Mechanism ◽  
Spike Timing ◽  
Long Term Depression ◽  
Term Potentiation ◽  
Short And Long Term

Synaptic plasticity is a cardinal cellular mechanism for learning and memory. The endocannabinoid (eCB) system has emerged as a pivotal pathway for synaptic plasticity because of its widely characterized ability to depress synaptic transmission on short- and long-term scales. Recent reports indicate that eCBs also mediate potentiation of the synapse. However, it is not known how eCB signaling may support bidirectionality. Here, we combined electrophysiology experiments with mathematical modeling to question the mechanisms of eCB bidirectionality in spike-timing dependent plasticity (STDP) at corticostriatal synapses. We demonstrate that STDP outcome is controlled by eCB levels and dynamics: prolonged and moderate levels of eCB lead to eCB-mediated long-term depression (eCB-tLTD) while short and large eCB transients produce eCB-mediated long-term potentiation (eCB-tLTP). Moreover, we show that eCB-tLTD requires active calcineurin whereas eCB-tLTP necessitates the activity of presynaptic PKA. Therefore, just like glutamate or GABA, eCB form a bidirectional system to encode learning and memory.

scholarly journals Early Postnatal Plasticity in Neocortex of Fmr1 Knockout Mice

2006 ◽  
Vol 96 (4) ◽  
pp. 1734-1745 ◽  
Author(s):  
Niraj S. Desai ◽  
Tanya M. Casimiro ◽  
Stephen M. Gruber ◽  
Peter W. Vanderklish
Keyword(s):  
Knockout Mice ◽  
Developmental Plasticity ◽  
Fragile X ◽  
Long Term Potentiation ◽  
Receptor Activation ◽  
Spike Timing ◽  
Term Potentiation ◽  
Spine Abnormalities ◽  
Intrinsic Plasticity

Fragile X syndrome is produced by a defect in a single X-linked gene, called Fmr1, and is characterized by abnormal dendritic spine morphologies with spines that are longer and thinner in neocortex than those from age-matched controls. Studies using Fmr1 knockout mice indicate that spine abnormalities are especially pronounced in the first month of life, suggesting that altered developmental plasticity underlies some of the behavioral phenotypes associated with the syndrome. To address this issue, we used intracellular recordings in neocortical slices from early postnatal mice to examine the effects of Fmr1 disruption on two forms of plasticity active during development. One of these, long-term potentiation of intrinsic excitability, is intrinsic in expression and requires mGluR5 activation. The other, spike timing-dependent plasticity, is synaptic in expression and requires N-methyl-d-aspartate receptor activation. While intrinsic plasticity was normal in the knockout mice, synaptic plasticity was altered in an unusual and striking way: long-term depression was robust but long-term potentiation was entirely absent. These findings underscore the ideas that Fmr1 has highly selective effects on plasticity and that abnormal postnatal development is an important component of the disorder.

A synaptic device built in one diode–one resistor (1D–1R) architecture with intrinsic SiOx-based resistive switching memory

2016 ◽  
Vol 1 (4) ◽  
Author(s):  
Yao-Feng Chang ◽  
Burt Fowler ◽  
Ying-Chen Chen ◽  
Fei Zhou ◽  
Chih-Hung Pan ◽  
...  
Keyword(s):  
Resistive Switching ◽  
Silicon Oxide ◽  
Complementary Metal Oxide Semiconductor ◽  
Long Term Potentiation ◽  
Spike Timing ◽  
Oxide Semiconductor ◽  
Resistive Switching Memory ◽  
Term Potentiation ◽  
Switching Memory

Abstract We realize a device with biological synaptic behaviors by integrating silicon oxide (SiOx) resistive switching memory with Si diodes to further minimize total synaptic power consumption due to sneak-path currents and demonstrate the capability for spike-induced synaptic behaviors, representing critical milestones for the use of SiO2-based materials in future neuromorphic computing applications. Biological synaptic behaviors such as long-term potentiation, long-term depression, and spike-timing dependent plasticity are demonstrated systemically with comprehensive investigation of spike waveform analyses and represent a potential application for SiOx-based resistive switching materials. The resistive switching SET transition is modeled as hydrogen (proton) release from the (SiH)2 defect to generate the hydrogenbridge defect, and the RESET transition is modeled as an electrochemical reaction (proton capture) that re-forms (SiH)2. The experimental results suggest a simple, robust approach to realize programmable neuromorphic chips compatible with largescale complementary metal-oxide semiconductor manufacturing technology.

scholarly journals Long-term population spike-timing-dependent plasticity promotes synaptic tagging but not cross-tagging in rat hippocampal area CA1

2019 ◽  
Vol 116 (12) ◽  
pp. 5737-5746 ◽  
Author(s):  
Karen Ka Lam Pang ◽  
Mahima Sharma ◽  
Kumar Krishna-K. ◽  
Thomas Behnisch ◽  
Sreedharan Sajikumar
Keyword(s):  
Synaptic Plasticity ◽  
Long Term Potentiation ◽  
Neuronal Population ◽  
Spike Timing ◽  
Spike Timing Dependent Plasticity ◽  
Dependent Plasticity ◽  
Adult Rat ◽  
Term Potentiation ◽  
Hippocampal Ca3

In spike-timing-dependent plasticity (STDP), the direction and degree of synaptic modification are determined by the coherence of pre- and postsynaptic activities within a neuron. However, in the adult rat hippocampus, it remains unclear whether STDP-like mechanisms in a neuronal population induce synaptic potentiation of a long duration. Thus, we asked whether the magnitude and maintenance of synaptic plasticity in a population of CA1 neurons differ as a function of the temporal order and interval between pre- and postsynaptic activities. Modulation of the relative timing of Schaffer collateral fibers (presynaptic component) and CA1 axons (postsynaptic component) stimulations resulted in an asymmetric population STDP (pSTDP). The resulting potentiation in response to 20 pairings at 1 Hz was largest in magnitude and most persistent (4 h) when presynaptic activity coincided with or preceded postsynaptic activity. Interestingly, when postsynaptic activation preceded presynaptic stimulation by 20 ms, an immediate increase in field excitatory postsynaptic potentials was observed, but it eventually transformed into a synaptic depression. Furthermore, pSTDP engaged in selective forms of late-associative activity: It facilitated the maintenance of tetanization-induced early long-term potentiation (LTP) in neighboring synapses but not early long-term depression, reflecting possible mechanistic differences with classical tetanization-induced LTP. The data demonstrate that a pairing of pre- and postsynaptic activities in a neuronal population can greatly reduce the required number of synaptic plasticity-evoking events and induce a potentiation of a degree and duration similar to that with repeated tetanization. Thus, pSTDP determines synaptic efficacy in the hippocampal CA3–CA1 circuit and could bias the CA1 neuronal population toward potentiation in future events.

Learning and Memory

The Neuron ◽  
2015 ◽  
pp. 489-528
Author(s):  
Irwin B. Levitan ◽  
Leonard K. Kaczmarek
Keyword(s):  
Learning And Memory ◽  
Molecular Mechanisms ◽  
Long Term Potentiation ◽  
Memory Formation ◽  
Spike Timing ◽  
Cellular Mechanisms ◽  
Long Term Depression ◽  
Nervous Systems ◽  
Term Potentiation

Psychologists have described different kinds of learning and memory, and there is an ongoing search for the physical basis of these distinctions and for the cellular and molecular mechanisms responsible. Because of the complexity of most nervous systems, the search has focused to a large extent on animals with relatively simple nervous systems and on reduced preparations. Common themes have emerged, such as the requirement for signaling pathways linked to calcium and cyclic AMP, and the fact that pathways used in normal development continue to be used for plasticity in adults. At the same time, it is clear that there is an enormous diversity of cellular mechanisms that contribute to short-term and long-term phases of memory formation. These include long-term potentiation (LTP), long-term depression (LTD), spike-timing dependent plasticity, synaptic tagging, and synaptic scaling. Each type of synaptic connection has its own personality such that, in response to a particular pattern of stimulation, one synapse may increase its postsynaptic receptors while another may expand its presynaptic terminals.

scholarly journals Learning complex temporal patterns with resource-dependent spike timing-dependent plasticity

2012 ◽  
Vol 108 (2) ◽  
pp. 551-566 ◽  
Author(s):  
Jason F. Hunzinger ◽  
Victor H. Chan ◽  
Robert C. Froemke
Keyword(s):  
Long Term Potentiation ◽  
Spike Timing ◽  
Spike Timing Dependent Plasticity ◽  
Dependent Plasticity ◽  
Rate Dependent ◽  
Temporal Relationships ◽  
Term Potentiation ◽  
Functional Mechanisms

Studies of spike timing-dependent plasticity (STDP) have revealed that long-term changes in the strength of a synapse may be modulated substantially by temporal relationships between multiple presynaptic and postsynaptic spikes. Whereas long-term potentiation (LTP) and long-term depression (LTD) of synaptic strength have been modeled as distinct or separate functional mechanisms, here, we propose a new shared resource model. A functional consequence of our model is fast, stable, and diverse unsupervised learning of temporal multispike patterns with a biologically consistent spiking neural network. Due to interdependencies between LTP and LTD, dendritic delays, and proactive homeostatic aspects of the model, neurons are equipped to learn to decode temporally coded information within spike bursts. Moreover, neurons learn spike timing with few exposures in substantial noise and jitter. Surprisingly, despite having only one parameter, the model also accurately predicts in vitro observations of STDP in more complex multispike trains, as well as rate-dependent effects. We discuss candidate commonalities in natural long-term plasticity mechanisms.

scholarly journals Tonic GABAA conductance favors temporal over rate coding in the rat hippocampus

2019 ◽  
Author(s):  
Yulia Dembitskaya ◽  
Yu-Wei Wu ◽  
Alexey Semyanov
Keyword(s):  
Synaptic Plasticity ◽  
Long Term Potentiation ◽  
Spike Timing ◽  
Network Activity ◽  
Neuronal Network Activity ◽  
Term Potentiation ◽  
Rate Coding ◽  
Ambient Gaba ◽  
Theta Burst

AbstractSynaptic plasticity is triggered by different patterns of neuronal network activity. Network activity leads to an increase in ambient GABA concentration and tonic activation of GABAA receptors. How tonic GABAA conductance affects synaptic plasticity during temporal and rate-based coding is poorly understood. Here, we show that tonic GABAA conductance differently affects long-term potentiation (LTP) induced by different stimulation patterns. The LTP based on a temporal spike - EPSP order (spike-timing-dependent [st] LTP) was not affected by exogenous GABA application. Backpropagating action potential, which enables Ca2+ entry through N-methyl-D-aspartate receptors (NMDARs) during stLTP induction, was only slightly reduced by the tonic conductance. In contrast, GABA application impeded LTP dependent on spiking rate (theta-burst-induced [tb] LTP) by reducing the EPSP bust response and, hence, NMDAR-mediated Ca2+ entry during tbLTP induction. Our results may explain the changes in different forms of memory under physiological and pathological conditions that affect tonic GABAA conductance.

Sign in / Sign up

Export Citation Format

Share Document