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【Do calculation, find Huaxuan】Theoretical calculation assists the top journal, 10000+ successful cases, full-time returnee technical team, genuine commercial software copyright! Funds pre-deposited and selected for Chinese calculation, up to 15% pre-deposit value-added! Reproducing ion channel-based neural function using artificial fluid systems has long been an ideal target
for neuromorphic computing and biomedical applications.
Here, researchers Mao Lanqun and Yu Ping of the Institute of Chemistry, Chinese Academy of Sciences, successfully realized neuromorphic functions using polyelectrolyte-confined fluid memristors (PFMs), in which confined polyelectrolyte-ion interactions help lag ion transport, thereby producing ion memory effects
.
At the same time, PFM simulates various electrical pulse modes with ultra-low
energy consumption.
In addition, the fluid properties of PFM enable the simulation of chemically regulated electrical impulses and, more importantly, chemical electrical signaling is achieved
through a single PFM.
With its structural similarity to ion channels, PFM is versatile and easily compatible with biological systems, paving the way
for the construction of neuromorphic devices with advanced functions by introducing rich chemical designs.
A related paper was published in Science under the title "Neuromorphic functions with a polyelectrolyte-confined fluidic memristor".
With the development of technology, there is great interest in humanoid brain structures and may lead to the development
of the next generation of neuromorphic devices.
So far, neuromorphic functions with different modes have been realized and incorporated into applications in various ways, mainly solid-state resistive switchable devices, including two-terminal memristors and three-terminal transistors
.
However, most of the neuromorphic functions achieved to date have been based on simulating electrical impulse patterns
using solid-state devices.
Analogues of biological synapses, especially simulating chemical synapses in solution-based environments, remain very challenging
for these solid-state devices.
In this regard, fluid-based memristors promise to achieve neuromorphic functions in aqueous environments, have superior compatibility with biological systems, and confer a large number of functions on neuromorphic devices by introducing different chemicals
.
Previous attempts have shown that ion-based or nanofluidic devices with advanced capabilities can be achieved by confineing electrolytes to microchannels or nanochannels, and that these constrained systems are memrisresist.
In addition, nanochannels gain long-term plasticity through the introduction of ionic liquid-electrolyte interfaces, but achieving neuromorphic function in aqueous media remains a long-standing challenge, not least because strong shielding in the aqueous environment greatly hinders ionion-ion interactions, thereby limiting the formation
of memories in fluid-based systems.
Figure 1.
In this paper, the authors report a polyelectrolyte-confined fluid memristor (PFM) that can successfully perform a variety of neuromorphological functions to simulate not only electrical impulse patterns but also chemical electrical signal transduction
.
Inspired by biotic ion channels, which act as natural memristors by controlling ion flux through spatial confinement and molecular recognition (Figure 1A), a polyimidazole brush (PimB)-confined fluid channel (Figure 1B) was designed and fabricated due to the high charge density, rich chemistry, and versatile ability
to identify different anions.
Typically, PimB is grown onto the inner wall of a glass microor nanopipette by surface-initiated atom transfer radical polymerization
.
Therefore, the fluid is confined by PimBs, wherein the establishment of anion concentration equilibrium and charge balance between the inside and outside of PimBs will lag when stimulated by an electric field or chemical, resulting in ionic memory
.
Figure 2.
Short-term plasticity (STP) electrical pulse diagram of PFM 3.
Chemically modulating the fluid-based ion redistribution dynamics of STP electrical impulses can confer neuromorphic functional versatility that PFMs are difficult to achieve, thereby providing an opportunity
to introduce specific chemoregulatory pathways for neuromorphic function.
Even more impressive, simulations of electrochemical signal transduction can be done
with this device.
Compared with neuromorphic devices based on other mechanisms, the fluid-based device in this paper not only has comparable performance to biological systems, but also has more advanced neuromorphic functions, especially chemically related functions
.
Figure 4.
In addition, although the introduced PFM has a series of advantages, including the diversity of neuromorphological functions, the possibility of regulation and coexistence of multiple ionophores, and convenient interfaces with biological systems, there are still great challenges
on the way to achieve a wider range of applications of PFM.
For example, achieving long-term plasticity is a key goal of fluid-based systems, where introducing stronger (or even irreversible) interfacial recognition interactions may help prolong ionic memory
.
Amplification of fluid memristors for in-memory computing is another challenge, and porous micro- or nanofluid arrays may provide a solution
.
Tianyi Xiong, Changwei Li, Xiulan He, Boyang Xie, Jianwei Zong, Yanan Jiang, Wenjie Ma,Fei Wu, Junjie Fei, Ping Yu*, Lanqun Mao*, Neuromorphic functions with a polyelectrolyte-confined fluidic memristor, 2023, Science, style="margin-right: 8px;margin-bottom: 16px;margin-left: 8px;white-space: normal;line-height: 1.
75em;">【Free】Publish recruitment information for domestic and foreign research groups, contact number/WeChat: 13632601244 for details
for neuromorphic computing and biomedical applications.
Here, researchers Mao Lanqun and Yu Ping of the Institute of Chemistry, Chinese Academy of Sciences, successfully realized neuromorphic functions using polyelectrolyte-confined fluid memristors (PFMs), in which confined polyelectrolyte-ion interactions help lag ion transport, thereby producing ion memory effects
.
At the same time, PFM simulates various electrical pulse modes with ultra-low
energy consumption.
In addition, the fluid properties of PFM enable the simulation of chemically regulated electrical impulses and, more importantly, chemical electrical signaling is achieved
through a single PFM.
With its structural similarity to ion channels, PFM is versatile and easily compatible with biological systems, paving the way
for the construction of neuromorphic devices with advanced functions by introducing rich chemical designs.
A related paper was published in Science under the title "Neuromorphic functions with a polyelectrolyte-confined fluidic memristor".
With the development of technology, there is great interest in humanoid brain structures and may lead to the development
of the next generation of neuromorphic devices.
So far, neuromorphic functions with different modes have been realized and incorporated into applications in various ways, mainly solid-state resistive switchable devices, including two-terminal memristors and three-terminal transistors
.
However, most of the neuromorphic functions achieved to date have been based on simulating electrical impulse patterns
using solid-state devices.
Analogues of biological synapses, especially simulating chemical synapses in solution-based environments, remain very challenging
for these solid-state devices.
In this regard, fluid-based memristors promise to achieve neuromorphic functions in aqueous environments, have superior compatibility with biological systems, and confer a large number of functions on neuromorphic devices by introducing different chemicals
.
Previous attempts have shown that ion-based or nanofluidic devices with advanced capabilities can be achieved by confineing electrolytes to microchannels or nanochannels, and that these constrained systems are memrisresist.
In addition, nanochannels gain long-term plasticity through the introduction of ionic liquid-electrolyte interfaces, but achieving neuromorphic function in aqueous media remains a long-standing challenge, not least because strong shielding in the aqueous environment greatly hinders ionion-ion interactions, thereby limiting the formation
of memories in fluid-based systems.
Figure 1.
In this paper, the authors report a polyelectrolyte-confined fluid memristor (PFM) that can successfully perform a variety of neuromorphological functions to simulate not only electrical impulse patterns but also chemical electrical signal transduction
.
Inspired by biotic ion channels, which act as natural memristors by controlling ion flux through spatial confinement and molecular recognition (Figure 1A), a polyimidazole brush (PimB)-confined fluid channel (Figure 1B) was designed and fabricated due to the high charge density, rich chemistry, and versatile ability
to identify different anions.
Typically, PimB is grown onto the inner wall of a glass microor nanopipette by surface-initiated atom transfer radical polymerization
.
Therefore, the fluid is confined by PimBs, wherein the establishment of anion concentration equilibrium and charge balance between the inside and outside of PimBs will lag when stimulated by an electric field or chemical, resulting in ionic memory
.
Figure 2.
Short-term plasticity (STP) electrical pulse diagram of PFM 3.
Chemically modulating the fluid-based ion redistribution dynamics of STP electrical impulses can confer neuromorphic functional versatility that PFMs are difficult to achieve, thereby providing an opportunity
to introduce specific chemoregulatory pathways for neuromorphic function.
Even more impressive, simulations of electrochemical signal transduction can be done
with this device.
Compared with neuromorphic devices based on other mechanisms, the fluid-based device in this paper not only has comparable performance to biological systems, but also has more advanced neuromorphic functions, especially chemically related functions
.
Figure 4.
In addition, although the introduced PFM has a series of advantages, including the diversity of neuromorphological functions, the possibility of regulation and coexistence of multiple ionophores, and convenient interfaces with biological systems, there are still great challenges
on the way to achieve a wider range of applications of PFM.
For example, achieving long-term plasticity is a key goal of fluid-based systems, where introducing stronger (or even irreversible) interfacial recognition interactions may help prolong ionic memory
.
Amplification of fluid memristors for in-memory computing is another challenge, and porous micro- or nanofluid arrays may provide a solution
.
Tianyi Xiong, Changwei Li, Xiulan He, Boyang Xie, Jianwei Zong, Yanan Jiang, Wenjie Ma,Fei Wu, Junjie Fei, Ping Yu*, Lanqun Mao*, Neuromorphic functions with a polyelectrolyte-confined fluidic memristor, 2023, Science, style="margin-right: 8px;margin-bottom: 16px;margin-left: 8px;white-space: normal;line-height: 1.
75em;">【Free】Publish recruitment information for domestic and foreign research groups, contact number/WeChat: 13632601244 for details
【Do calculation, find Huaxuan】Huaxuan Technology focuses on catalytic computing services, genuine commercial software copyright, full-time returnee computing team, 10000+ successful cases!
User research results have been published in Nature Catalysis, JACS, Angew.
, AM, AEM, AFM, EES and other top international journals
.
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